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Cordelia Schmid

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affiliation: INRIA, France
award (2023): Körber-Preis für die Europäische Wissenschaft

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2024
[j55]
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  - journals/ijcv/BideauLSA24
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Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. Int. J. Comput. Vis. 132(1): 40-55 (2024)
[j54]
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Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol:
CoVR-2: Automatic Data Construction for Composed Video Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11409-11421 (2024)
[j53]
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Quentin Le Lidec, Wilson Jallet, Louis Montaut, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Contact Models in Robotics: A Comparative Analysis. IEEE Trans. Robotics 40: 3716-3733 (2024)
[c274]
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  - conf/3dim/DwivediSYBT24
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Sai Kumar Dwivedi, Cordelia Schmid, Hongwei Yi, Michael J. Black, Dimitrios Tzionas:
POCO: 3D Pose and Shape Estimation with Confidence. 3DV 2024: 85-95
[c273]
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  - conf/aaai/VenturaYSV24
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Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol:
CoVR: Learning Composed Video Retrieval from Web Video Captions. AAAI 2024: 5270-5279
[c272]
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  - conf/cvpr/MerceaGSA24
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Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab:
Time-, Memory- and Parameter-Efficient Visual Adaptation. CVPR 2024: 5536-5545
[c271]
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  - conf/cvpr/XuZYGA00S24
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Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CVPR 2024: 13030-13039
[c270]
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  - conf/cvpr/MinBNCS24
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Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CVPR 2024: 13235-13245
[c269]
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  - conf/cvpr/CaronIFS24
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Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CVPR 2024: 17313-17322
[c268]
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  - conf/cvpr/ChenPLS24
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Shizhe Chen, Ricardo Garcia, Ivan Laptev, Cordelia Schmid:
SUGAR : Pre-training 3D Visual Representations for Robotics. CVPR 2024: 18049-18060
[c267]
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  - conf/cvpr/ZhouABYMXNS24
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Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CVPR 2024: 18243-18252
[c266]
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  - conf/cvpr/GritsenkoXD00LS24
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Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab:
End-to-End Spatio-Temporal Action Localisation with Video Transformers. CVPR 2024: 18373-18383
[c265]
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  - conf/cvpr/KimSSC24
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Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho:
Learning Correlation Structures for Vision Transformers. CVPR 2024: 18941-18951
[c264]
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  - conf/cvpr/MoingPS24
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Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
Dense Optical Tracking: Connecting the Dots. CVPR 2024: 19187-19197
[c263]
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  - conf/eccv/KimBASA24
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Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata:
DataDream: Few-Shot Guided Dataset Generation. ECCV (71) 2024: 252-268
[c262]
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  - conf/iclr/IscenCFS24
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Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. ICLR 2024
[c261]
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  - conf/icml/HuIJKYRSF24
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Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. ICML 2024
[c260]
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  - conf/wacv/CaronHS24
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Mathilde Caron, Neil Houlsby, Cordelia Schmid:
Location-Aware Self-Supervised Transformers for Semantic Segmentation. WACV 2024: 116-126
[i189]
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  - journals/corr/abs-2401-06035
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Partha Ghosh, Soubhik Sanyal, Cordelia Schmid, Bernhard Schölkopf:
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks. CoRR abs/2401.06035 (2024)
[i188]
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  - journals/corr/abs-2402-02887
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Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab:
Time-, Memory- and Parameter-Efficient Visual Adaptation. CoRR abs/2402.02887 (2024)
[i187]
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  - journals/corr/abs-2403-01248
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Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. CoRR abs/2403.01248 (2024)
[i186]
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  - journals/corr/abs-2403-02041
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Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CoRR abs/2403.02041 (2024)
[i185]
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  - journals/corr/abs-2404-01297
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Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CoRR abs/2404.01297 (2024)
[i184]
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  - journals/corr/abs-2404-01491
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Shizhe Chen, Ricardo Garcia, Ivan Laptev, Cordelia Schmid:
SUGAR: Pre-training 3D Visual Representations for Robotics. CoRR abs/2404.01491 (2024)
[i183]
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  - journals/corr/abs-2404-03924
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Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho:
Learning Correlation Structures for Vision Transformers. CoRR abs/2404.03924 (2024)
[i182]
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  - journals/corr/abs-2404-06511
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Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CoRR abs/2404.06511 (2024)
[i181]
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  - journals/corr/abs-2404-15709
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Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev:
ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos. CoRR abs/2404.15709 (2024)
[i180]
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  - journals/corr/abs-2404-17498
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Lucas Ventura, Cordelia Schmid, Gül Varol:
Learning text-to-video retrieval from image captioning. CoRR abs/2404.17498 (2024)
[i179]
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  - journals/corr/abs-2405-17151
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Riccardo Cadei, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello:
Smoke and Mirrors in Causal Downstream Tasks. CoRR abs/2405.17151 (2024)
[i178]
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  - journals/corr/abs-2406-08707
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Matthieu Futeral, Armel Zebaze, Pedro Ortiz Suarez, Julien Abadji, Rémi Lacroix, Cordelia Schmid, Rachel Bawden, Benoît Sagot:
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus. CoRR abs/2406.08707 (2024)
[i177]
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  - journals/corr/abs-2407-10910
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Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata:
DataDream: Few-shot Guided Dataset Generation. CoRR abs/2407.10910 (2024)
[i176]
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  - journals/corr/abs-2407-13579
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Matthieu Futeral, Cordelia Schmid, Benoît Sagot, Rachel Bawden:
Towards Zero-Shot Multimodal Machine Translation. CoRR abs/2407.13579 (2024)
[i175]
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  - journals/corr/abs-2410-01345
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Ricardo Garcia, Shizhe Chen, Cordelia Schmid:
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy. CoRR abs/2410.01345 (2024)
[i174]
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  - journals/corr/abs-2410-23676
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Mathilde Caron, Alireza Fathi, Cordelia Schmid, Ahmet Iscen:
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach. CoRR abs/2410.23676 (2024)
2023
[c259]
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  - conf/acl/SubramanianNKYN23
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Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. ACL (2) 2023: 747-761
[c258]
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  - conf/acl/FuteralSLSB23
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Matthieu Futeral, Cordelia Schmid, Ivan Laptev, Benoît Sagot, Rachel Bawden:
Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation. ACL (1) 2023: 5394-5413
[c257]
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  - conf/corl/ChenPSL23
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Shizhe Chen, Ricardo Garcia, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRL 2023: 1761-1781
[c256]
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  - conf/cvpr/ZhouA0S23
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Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
How can objects help action recognition? CVPR 2023: 2353-2362
[c255]
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  - conf/cvpr/KimKSA23
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Jae-Myung Kim, A. Sophia Koepke, Cordelia Schmid, Zeynep Akata:
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. CVPR Workshops 2023: 2585-2595
[c254]
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  - conf/cvpr/KimKJSA023
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Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee:
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification. CVPR 2023: 3408-3417
[c253]
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  - conf/cvpr/YangNSMPLSS23
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Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. CVPR 2023: 10714-10726
[c252]
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  - conf/cvpr/ChenCSL23
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Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev:
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction. CVPR 2023: 12890-12900
[c251]
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  - conf/cvpr/IscenFS23
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Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. CVPR 2023: 19295-19304
[c250]
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  - conf/cvpr/SeoNS23
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Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR. CVPR 2023: 22922-22931
[c249]
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  - conf/cvpr/HuI0WCSSRF23
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Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR 2023: 23369-23379
[c248]
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  - conf/iccv/YanXNAWGRS23
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Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid:
UnLoc: A Unified Framework for Video Localization Tasks. ICCV 2023: 13577-13587
[c247]
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  - conf/iccv/MomeniCNZS23
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Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid:
Verbs in Action: Improving verb understanding in video-language models. ICCV 2023: 15533-15545
[c246]
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  - conf/iccv/RothKKVSA23
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Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata:
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. ICCV 2023: 15700-15711
[c245]
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  - conf/iccv/GeorgescuFILSA23
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Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. ICCV 2023: 16098-16108
[c244]
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  - conf/iccv/MoingPS23
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Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction. ICCV 2023: 23172-23184
[c243]
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  - conf/icra/ChaneSaneSL23
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Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Learning Video-Conditioned Policies for Unseen Manipulation Tasks. ICRA 2023: 909-916
[c242]
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  - conf/icra/LidecJLSC23
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Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. ICRA 2023: 946-952
[c241]
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  - conf/icra/AlakuijalaDMPS23
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Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Learning Reward Functions for Robotic Manipulation by Observing Humans. ICRA 2023: 5006-5012
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Ricardo Garcia, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. IROS 2023: 992-999
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Shizhe Chen, Thomas Chabal, Ivan Laptev, Cordelia Schmid:
Object Goal Navigation with Recursive Implicit Maps. IROS 2023: 7089-7096
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Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid:
Does Visual Pretraining Help End-to-End Reasoning? NeurIPS 2023
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Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS 2023
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Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. NeurIPS 2023
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Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata:
Posterior Annealing: Fast Calibrated Uncertainty for Regression. CoRR abs/2302.11012 (2023)
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Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. CoRR abs/2302.14115 (2023)
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Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR. CoRR abs/2303.16501 (2023)
[i170]
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Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee:
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification. CoRR abs/2304.01804 (2023)
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Jae-Myung Kim, A. Sophia Koepke, Cordelia Schmid, Zeynep Akata:
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. CoRR abs/2304.03391 (2023)
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Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. CoRR abs/2304.05173 (2023)
[i167]
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Quentin Le Lidec, Wilson Jallet, Louis Montaut, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Contact Models in Robotics: a Comparative Analysis. CoRR abs/2304.06372 (2023)
[i166]
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Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid:
Verbs in Action: Improving verb understanding in video-language models. CoRR abs/2304.06708 (2023)
[i165]
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  - journals/corr/abs-2304-11970
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Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev:
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction. CoRR abs/2304.11970 (2023)
[i164]
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  - journals/corr/abs-2304-12160
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Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab:
End-to-End Spatio-Temporal Action Localisation with Video Transformers. CoRR abs/2304.12160 (2023)
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  - journals/corr/abs-2305-06289
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Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Learning Video-Conditioned Policies for Unseen Manipulation Tasks. CoRR abs/2305.06289 (2023)
[i162]
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  - journals/corr/abs-2306-05392
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Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. CoRR abs/2306.05392 (2023)
[i161]
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  - journals/corr/abs-2306-07196
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Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. CoRR abs/2306.07196 (2023)
[i160]
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Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata:
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. CoRR abs/2306.07282 (2023)
[i159]
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  - journals/corr/abs-2306-08129
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Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR abs/2306.08129 (2023)
[i158]
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  - journals/corr/abs-2306-11726
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Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
How can objects help action recognition? CoRR abs/2306.11726 (2023)
[i157]
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  - journals/corr/abs-2306-11729
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Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
Dense Video Object Captioning from Disjoint Supervision. CoRR abs/2306.11729 (2023)
[i156]
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  - journals/corr/abs-2307-08506
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Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid:
Does Visual Pretraining Help End-to-End Reasoning? CoRR abs/2307.08506 (2023)
[i155]
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  - journals/corr/abs-2307-15320
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Ricardo Garcia, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. CoRR abs/2307.15320 (2023)
[i154]
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  - journals/corr/abs-2308-05602
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Shizhe Chen, Thomas Chabal, Ivan Laptev, Cordelia Schmid:
Object Goal Navigation with Recursive Implicit Maps. CoRR abs/2308.05602 (2023)
[i153]
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  - journals/corr/abs-2308-11062
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Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid:
UnLoc: A Unified Framework for Video Localization Tasks. CoRR abs/2308.11062 (2023)
[i152]
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  - journals/corr/abs-2308-12965
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Sai Kumar Dwivedi, Cordelia Schmid, Hongwei Yi, Michael J. Black, Dimitrios Tzionas:
POCO: 3D Pose and Shape Estimation with Confidence. CoRR abs/2308.12965 (2023)
[i151]
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  - journals/corr/abs-2308-14746
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Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol:
CoVR: Learning Composed Video Retrieval from Web Video Captions. CoRR abs/2308.14746 (2023)
[i150]
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  - journals/corr/abs-2309-13952
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Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. CoRR abs/2309.13952 (2023)
[i149]
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  - journals/corr/abs-2309-15596
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Shizhe Chen, Ricardo Garcia, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRR abs/2309.15596 (2023)
[i148]
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  - journals/corr/abs-2312-00786
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Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
Dense Optical Tracking: Connecting the Dots. CoRR abs/2312.00786 (2023)
[i147]
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  - journals/corr/abs-2312-09237
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Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CoRR abs/2312.09237 (2023)
2022
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Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. BMVC 2022: 388
[c234]
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Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid:
Instruction-driven history-aware policies for robotic manipulations. CoRL 2022: 175-187
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  - conf/cvpr/YanXALZ0S22
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Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CVPR 2022: 3323-3333
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Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CVPR 2022: 4662-4671
[c231]
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Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CVPR 2022: 16421-16432
[c230]
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Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. CVPR 2022: 16516-16526
[c229]
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  - conf/cvpr/SeoNAS22
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Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid:
End-to-end Generative Pretraining for Multimodal Video Captioning. CVPR 2022: 17938-17947
[c228]
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  - conf/eccv/ChenHSL22
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Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev:
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. ECCV (1) 2022: 231-248
[c227]
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Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid:
Learning Audio-Video Modalities from Image Captions. ECCV (14) 2022: 407-426
[c226]
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Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. ECCV (34) 2022: 540-557
[c225]
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Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation. ECCV (39) 2022: 638-655
[c224]
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  - conf/interspeech/GabeurSN0AS22
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Valentin Gabeur, Paul Hongsuck Seo, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
AVATAR: Unconstrained Audiovisual Speech Recognition. INTERSPEECH 2022: 2818-2822
[c223]
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  - conf/iros/ChabalSAPS22
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Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. IROS 2022: 10223-10229
[c222]
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Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding. NeurIPS 2022
[c221]
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Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. NeurIPS 2022
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Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. WACV 2022: 2111-2120
[i146]
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  - journals/corr/abs-2201-04288
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Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CoRR abs/2201.04288 (2022)
[i145]
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Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid:
End-to-end Generative Pretraining for Multimodal Video Captioning. CoRR abs/2201.08264 (2022)
[i144]
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  - journals/corr/abs-2202-02200
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  - https://dblp.org/rec/journals/corr/abs-2202-02200
Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CoRR abs/2202.02200 (2022)
[i143]
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Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. CoRR abs/2202.11742 (2022)
[i142]
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Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. CoRR abs/2203.00115 (2022)
[i141]
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Quentin Le Lidec, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier:
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems. CoRR abs/2203.03986 (2022)
[i140]
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Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CoRR abs/2203.16434 (2022)
[i139]
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Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid:
Learning Audio-Video Modalities from Image Captions. CoRR abs/2204.00679 (2022)
[i138]
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Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. CoRR abs/2204.09616 (2022)
[i137]
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Robin Strudel, Ivan Laptev, Cordelia Schmid:
Weakly-supervised segmentation of referring expressions. CoRR abs/2205.04725 (2022)
[i136]
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Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Learning to Answer Visual Questions from Web Videos. CoRR abs/2205.05019 (2022)
[i135]
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  - journals/corr/abs-2206-07684
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Valentin Gabeur, Paul Hongsuck Seo, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
AVATAR: Unconstrained Audiovisual Speech Recognition. CoRR abs/2206.07684 (2022)
[i134]
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Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. CoRR abs/2206.08155 (2022)
[i133]
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Xuehan Xiong, Anurag Arnab, Arsha Nagrani, Cordelia Schmid:
M&M Mix: A Multimodal Multiview Transformer Ensemble. CoRR abs/2206.09852 (2022)
[i132]
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Quentin Le Lidec, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier:
Augmenting differentiable physics with randomized smoothing. CoRR abs/2206.11884 (2022)
[i131]
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Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid:
Beyond Transfer Learning: Co-finetuning for Action Localisation. CoRR abs/2207.03807 (2022)
[i130]
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Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev:
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. CoRR abs/2207.12909 (2022)
[i129]
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  - journals/corr/abs-2208-06773
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Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. CoRR abs/2208.06773 (2022)
[i128]
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Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation. CoRR abs/2208.11781 (2022)
[i127]
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  - journals/corr/abs-2209-04899
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Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid:
Instruction-driven history-aware policies for robotic manipulations. CoRR abs/2209.04899 (2022)
[i126]
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Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. CoRR abs/2209.09006 (2022)
[i125]
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  - journals/corr/abs-2210-04485
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Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. CoRR abs/2210.04485 (2022)
[i124]
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Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Learning Reward Functions for Robotic Manipulation by Observing Humans. CoRR abs/2211.09019 (2022)
[i123]
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  - journals/corr/abs-2211-09646
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Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding. CoRR abs/2211.09646 (2022)
[i122]
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  - journals/corr/abs-2211-09966
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Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
AVATAR submission to the Ego4D AV Transcription Challenge. CoRR abs/2211.09966 (2022)
[i121]
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  - journals/corr/abs-2211-14308
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Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction. CoRR abs/2211.14308 (2022)
[i120]
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  - journals/corr/abs-2212-02400
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Mathilde Caron, Neil Houlsby, Cordelia Schmid:
Location-Aware Self-Supervised Transformers. CoRR abs/2212.02400 (2022)
[i119]
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  - journals/corr/abs-2212-05221
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Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR abs/2212.05221 (2022)
[i118]
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  - journals/corr/abs-2212-05922
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Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. CoRR abs/2212.05922 (2022)
[i117]
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  - journals/corr/abs-2212-10140
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Matthieu Futeral, Cordelia Schmid, Ivan Laptev, Benoît Sagot, Rachel Bawden:
Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation. CoRR abs/2212.10140 (2022)
2021
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Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. Int. J. Comput. Vis. 129(7): 2264-2287 (2021)
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Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2014-2028 (2021)
[j50]
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Quentin Le Lidec, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable Simulation for Physical System Identification. IEEE Robotics Autom. Lett. 6(2): 3413-3420 (2021)
[c219]
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  - conf/3dim/HassonVSL21
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Yana Hasson, Gül Varol, Cordelia Schmid, Ivan Laptev:
Towards Unconstrained Joint Hand-Object Reconstruction From RGB Videos. 3DV 2021: 659-668
[c218]
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Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. BMVC 2021: 165
[c217]
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  - conf/cvpr/MiZNJG0SSCA21
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Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CVPR 2021: 4227-4236
[c216]
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Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
Look Before You Speak: Visually Contextualized Utterances. CVPR 2021: 16877-16887
[c215]
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  - conf/iccv/Epstein0S021
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Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. ICCV 2021: 1460-1469
[c214]
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  - conf/iccv/GuhurTCLS21
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Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid:
Airbert: In-domain Pretraining for Vision-and-Language Navigation. ICCV 2021: 1614-1623
[c213]
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  - conf/iccv/YangMSLS21
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Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. ICCV 2021: 1666-1677
[c212]
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Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. ICCV 2021: 6816-6826
[c211]
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  - conf/iccv/StrudelPLS21
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Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. ICCV 2021: 7242-7252
[c210]
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Anurag Arnab, Chen Sun, Cordelia Schmid:
Unified Graph Structured Models for Video Understanding. ICCV 2021: 8097-8106
[c209]
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Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. ICCV 2021: 8814-8824
[c208]
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  - conf/iccv/SaikiaSB21
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Tonmoy Saikia, Cordelia Schmid, Thomas Brox:
Improving robustness against common corruptions with frequency biased models. ICCV 2021: 10191-10200
[c207]
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  - conf/iccv/PashevichS021
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Alexander Pashevich, Cordelia Schmid, Chen Sun:
Episodic Transformer for Vision-and-Language Navigation. ICCV 2021: 15922-15932
[c206]
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Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. ICML 2021: 1430-1440
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Cordelia Schmid:
Do you see what I see?: Large-scale Learning from Multimodal Videos. ACM Multimedia 2021: 2643
[c204]
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Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev:
History Aware Multimodal Transformer for Vision-and-Language Navigation. NeurIPS 2021: 5834-5847
[c203]
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Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
CCVS: Context-aware Controllable Video Synthesis. NeurIPS 2021: 14042-14055
[c202]
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Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. NeurIPS 2021: 14200-14213
[c201]
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Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. NeurIPS 2021: 16764-16778
[c200]
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Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable rendering with perturbed optimizers. NeurIPS 2021: 20398-20409
[i116]
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Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. CoRR abs/2101.02337 (2021)
[i115]
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  - journals/corr/abs-2103-15662
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Anurag Arnab, Chen Sun, Cordelia Schmid:
Unified Graph Structured Models for Video Understanding. CoRR abs/2103.15662 (2021)
[i114]
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Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. CoRR abs/2103.15691 (2021)
[i113]
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Tonmoy Saikia, Cordelia Schmid, Thomas Brox:
Improving robustness against common corruptions with frequency biased models. CoRR abs/2103.16241 (2021)
[i112]
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Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. CoRR abs/2104.00616 (2021)
[i111]
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Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid:
Local Metrics for Multi-Object Tracking. CoRR abs/2104.02631 (2021)
[i110]
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Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. CoRR abs/2104.05279 (2021)
[i109]
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Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. CoRR abs/2105.05633 (2021)
[i108]
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Alexander Pashevich, Cordelia Schmid, Chen Sun:
Episodic Transformer for Vision-and-Language Navigation. CoRR abs/2105.06453 (2021)
[i107]
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Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. CoRR abs/2106.06650 (2021)
[i106]
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Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Residual Reinforcement Learning from Demonstrations. CoRR abs/2106.08050 (2021)
[i105]
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Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CoRR abs/2106.14880 (2021)
[i104]
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  - journals/corr/abs-2107-00135
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Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. CoRR abs/2107.00135 (2021)
[i103]
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Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. CoRR abs/2107.00541 (2021)
[i102]
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Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
CCVS: Context-aware Controllable Video Synthesis. CoRR abs/2107.08037 (2021)
[i101]
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Yana Hasson, Gül Varol, Ivan Laptev, Cordelia Schmid:
Towards unconstrained joint hand-object reconstruction from RGB videos. CoRR abs/2108.07044 (2021)
[i100]
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Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid:
Airbert: In-domain Pretraining for Vision-and-Language Navigation. CoRR abs/2108.09105 (2021)
[i99]
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  - journals/corr/abs-2110-09107
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Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable Rendering with Perturbed Optimizers. CoRR abs/2110.09107 (2021)
[i98]
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  - journals/corr/abs-2110-13309
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Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev:
History Aware Multimodal Transformer for Vision-and-Language Navigation. CoRR abs/2110.13309 (2021)
[i97]
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  - journals/corr/abs-2111-01300
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Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. CoRR abs/2111.01300 (2021)
2020
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Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1146-1161 (2020)
[c199]
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Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRL 2020: 355-364
[c198]
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Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov:
TNT: Target-driven Trajectory Prediction. CoRL 2020: 895-904
[c197]
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  - conf/cvpr/HassonTBLPS20
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Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid:
Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction. CVPR 2020: 568-577
[c196]
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  - conf/cvpr/NagraniSRSSZ20
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Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-Modal Supervision for Action Recognition. CVPR 2020: 10314-10323
[c195]
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  - conf/cvpr/GaoSZSALS20
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Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid:
VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. CVPR 2020: 11522-11530
[c194]
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  - conf/eccv/ChenGSS20
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Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu:
Consistency Guided Scene Flow Estimation. ECCV (7) 2020: 125-141
[c193]
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  - conf/eccv/Gabeur0AS20
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Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. ECCV (4) 2020: 214-229
[c192]
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  - conf/eccv/IscenTACS20
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Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. ECCV (10) 2020: 286-302
[c191]
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  - conf/eccv/TokmakovHS20
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Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. ECCV Workshops (2) 2020: 404-421
[c190]
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  - conf/eccv/DaveKTSR20
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Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) 2020: 436-454
[c189]
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  - conf/eccv/IscenZLS20
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Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. ECCV (16) 2020: 699-715
[c188]
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  - conf/eccv/Arnab0NS20
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Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. ECCV (10) 2020: 751-768
[c187]
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  - conf/eccv/DvornikSM20
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Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. ECCV (10) 2020: 769-786
[c186]
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  - conf/icassp/RothCKMGKRSSXP20
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Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
Ava Active Speaker: An Audio-Visual Dataset for Active Speaker Detection. ICASSP 2020: 4492-4496
[c185]
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Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. ICML 2020: 8326-8335
[c184]
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  - conf/icra/StrudelPKLSS20
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Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Learning to combine primitive skills: A step towards versatile robotic manipulation §. ICRA 2020: 4637-4643
[c183]
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  - conf/iros/PashevichKLS20
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Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning visual policies for building 3D shape categories. IROS 2020: 8073-8080
[c182]
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Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What Makes for Good Views for Contrastive Learning? NeurIPS 2020
[i96]
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  - journals/corr/abs-2001-07926
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Tonmoy Saikia, Thomas Brox, Cordelia Schmid:
Optimized Generic Feature Learning for Few-shot Classification across Domains. CoRR abs/2001.07926 (2020)
[i95]
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  - journals/corr/abs-2002-00937
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Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. CoRR abs/2002.00937 (2020)
[i94]
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  - journals/corr/abs-2003-05614
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Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari:
Beyond the Camera: Neural Networks in World Coordinates. CoRR abs/2003.05614 (2020)
[i93]
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Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Universal Representation for Few-shot Classification. CoRR abs/2003.09338 (2020)
[i92]
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  - journals/corr/abs-2003-13594
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Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-modal Supervision for Action Recognition. CoRR abs/2003.13594 (2020)
[i91]
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  - journals/corr/abs-2004-00713
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Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. CoRR abs/2004.00713 (2020)
[i90]
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  - journals/corr/abs-2004-07950
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Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning visual policies for building 3D shape categories. CoRR abs/2004.07950 (2020)
[i89]
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  - journals/corr/abs-2004-13449
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Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid:
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction. CoRR abs/2004.13449 (2020)
[i88]
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  - journals/corr/abs-2005-04259
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Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid:
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation. CoRR abs/2005.04259 (2020)
[i87]
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  - journals/corr/abs-2005-10243
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Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What makes for good views for contrastive learning. CoRR abs/2005.10243 (2020)
[i86]
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  - journals/corr/abs-2005-10356
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Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. CoRR abs/2005.10356 (2020)
[i85]
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  - journals/corr/abs-2006-11242
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Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu:
Consistency Guided Scene Flow Estimation. CoRR abs/2006.11242 (2020)
[i84]
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  - journals/corr/abs-2006-15731
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Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. CoRR abs/2006.15731 (2020)
[i83]
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  - journals/corr/abs-2007-10639
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Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. CoRR abs/2007.10639 (2020)
[i82]
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  - journals/corr/abs-2007-10703
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Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. CoRR abs/2007.10703 (2020)
[i81]
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  - journals/corr/abs-2007-14937
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Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid:
Learning Video Representations from Textual Web Supervision. CoRR abs/2007.14937 (2020)
[i80]
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Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shizhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao:
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). CoRR abs/2008.00744 (2020)
[i79]
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Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov:
TNT: Target-driveN Trajectory Prediction. CoRR abs/2008.08294 (2020)
[i78]
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  - journals/corr/abs-2008-11174
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Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRR abs/2008.11174 (2020)
[i77]
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  - journals/corr/abs-2012-00451
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Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. CoRR abs/2012.00451 (2020)
[i76]
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Yves Dufournaud, Cordelia Schmid, Radu Horaud:
Image Matching with Scale Adjustment. CoRR abs/2012.05582 (2020)
[i75]
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Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
Look Before you Speak: Visually Contextualized Utterances. CoRR abs/2012.05710 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Pavel Tokmakov, Cordelia Schmid, Karteek Alahari:
Learning to Segment Moving Objects. Int. J. Comput. Vis. 127(3): 282-301 (2019)
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Vladyslav Sydorov, Karteek Alahari, Cordelia Schmid:
Focused Attention for Action Recognition. BMVC 2019: 172
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Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CVPR 2019: 273-283
[c179]
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Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari, Cordelia Schmid:
MARS: Motion-Augmented RGB Stream for Action Recognition. CVPR 2019: 7882-7891
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Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Structured Model for Action Detection. CVPR 2019: 9975-9984
[c177]
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Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning Joint Reconstruction of Hands and Manipulated Objects. CVPR 2019: 11807-11816
[c176]
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  - conf/iccv/PeyreSLS19
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Julia Peyre, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Detecting Unseen Visual Relations Using Analogies. ICCV 2019: 1981-1990
[c175]
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  - conf/iccv/GabeurFMSR19
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Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez:
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images. ICCV 2019: 2232-2241
[c174]
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Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. ICCV 2019: 3722-3730
[c173]
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  - conf/iccv/ChenSS19
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Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu:
Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. ICCV 2019: 7062-7071
[c172]
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Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. ICCV 2019: 7463-7472
[c171]
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  - conf/iccvw/RothXPCKMGKRSS19
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Joseph Roth, Zhonghua Xi, Caroline Pantofaru, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid:
Supplementary Material: AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. ICCV Workshops 2019: 3718-3722
[c170]
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Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Spreading vectors for similarity search. ICLR (Poster) 2019
[c169]
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Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Yann Ollivier, Hervé Jégou:
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. ICML 2019: 5558-5567
[c168]
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  - conf/iros/PashevichSKLS19
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Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. IROS 2019: 2651-2657
[c167]
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  - conf/nips/LucasSASV19
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Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Adaptive Density Estimation for Generative Models. NeurIPS 2019: 11993-12003
[c166]
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Cordelia Schmid:
Automatic Understanding of the Visual World. SIGIR 2019: 3-4
[i74]
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Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Coverage and Quality Driven Training of Generative Image Models. CoRR abs/1901.01091 (2019)
[i73]
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Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. CoRR abs/1901.01342 (2019)
[i72]
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Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. CoRR abs/1903.07740 (2019)
[i71]
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Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. CoRR abs/1903.11341 (2019)
[i70]
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  - journals/corr/abs-1904-01766
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Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. CoRR abs/1904.01766 (2019)
[i69]
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  - journals/corr/abs-1904-04231
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Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CoRR abs/1904.04231 (2019)
[i68]
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  - journals/corr/abs-1904-05767
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Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning joint reconstruction of hands and manipulated objects. CoRR abs/1904.05767 (2019)
[i67]
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  - journals/corr/abs-1904-12993
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Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Study on Action Detection in the Wild. CoRR abs/1904.12993 (2019)
[i66]
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  - journals/corr/abs-1906-05743
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Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid:
Contrastive Bidirectional Transformer for Temporal Representation Learning. CoRR abs/1906.05743 (2019)
[i65]
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  - journals/corr/abs-1907-05820
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Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu:
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. CoRR abs/1907.05820 (2019)
[i64]
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  - journals/corr/abs-1908-00439
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Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez:
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images. CoRR abs/1908.00439 (2019)
[i63]
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  - journals/corr/abs-1908-00722
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Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Combining learned skills and reinforcement learning for robotic manipulations. CoRR abs/1908.00722 (2019)
[i62]
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  - journals/corr/abs-1908-11229
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Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou:
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. CoRR abs/1908.11229 (2019)
[i61]
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  - journals/corr/abs-1910-00324
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Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph convolutional networks for learning with few clean and many noisy labels. CoRR abs/1910.00324 (2019)
[i60]
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  - journals/corr/abs-1910-11844
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Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
Learning to Track Any Object. CoRR abs/1910.11844 (2019)
[i59]
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  - journals/corr/abs-1912-04070
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Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. CoRR abs/1912.04070 (2019)
2018
[j47]
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Grégory Rogez, Cordelia Schmid:
Image-Based Synthesis for Deep 3D Human Pose Estimation. Int. J. Comput. Vis. 126(9): 993-1008 (2018)
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Gül Varol, Ivan Laptev, Cordelia Schmid:
Long-Term Temporal Convolutions for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1510-1517 (2018)
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Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow: Semantic Correspondences from Object Proposals. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1711-1725 (2018)
[j44]
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Nicolas Chesneau, Karteek Alahari, Cordelia Schmid:
Learning From Web Videos for Event Classification. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3019-3029 (2018)
[c165]
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  - conf/cvpr/GuSRVPLVTRSSM18
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Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. CVPR 2018: 6047-6056
[c164]
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Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid:
PoTion: Pose MoTion Representation for Action Recognition. CVPR 2018: 7024-7033
[c163]
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  - conf/cvpr/SigurdssonGSFA18
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Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CVPR 2018: 7396-7404
[c162]
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  - conf/eccv/VarolCRYYLS18
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Gül Varol, Duygu Ceylan, Bryan C. Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, Cordelia Schmid:
BodyNet: Volumetric Inference of 3D Human Body Shapes. ECCV (7) 2018: 20-38
[c161]
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  - conf/eccv/ShmelkovSA18
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Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
How Good Is My GAN? ECCV (2) 2018: 218-234
[c160]
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  - conf/eccv/CastroMGSA18
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Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. ECCV (12) 2018: 241-257
[c159]
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  - conf/eccv/SunSVMSS18
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Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. ECCV (11) 2018: 335-351
[c158]
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  - conf/eccv/DvornikMS18
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Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context Is Key to Augmenting Object Detection Datasets. ECCV (12) 2018: 375-391
[c157]
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  - conf/nips/CheronALS18
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Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid:
A flexible model for training action localization with varying levels of supervision. NeurIPS 2018: 950-961
[c156]
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  - conf/nips/WynenSM18
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Daan Wynen, Cordelia Schmid, Julien Mairal:
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. NeurIPS 2018: 6584-6593
[i58]
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  - journals/corr/abs-1802-04216
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Grégory Rogez, Cordelia Schmid:
Image-based Synthesis for Deep 3D Human Pose Estimation. CoRR abs/1802.04216 (2018)
[i57]
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  - journals/corr/abs-1803-00455
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Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images. CoRR abs/1803.00455 (2018)
[i56]
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Gül Varol, Duygu Ceylan, Bryan C. Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, Cordelia Schmid:
BodyNet: Volumetric Inference of 3D Human Body Shapes. CoRR abs/1804.04875 (2018)
[i55]
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Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos. CoRR abs/1804.09626 (2018)
[i54]
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Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CoRR abs/1804.09627 (2018)
[i53]
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Daan Wynen, Cordelia Schmid, Julien Mairal:
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. CoRR abs/1805.11155 (2018)
[i52]
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Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
A neural network catalyzer for multi-dimensional similarity search. CoRR abs/1806.03198 (2018)
[i51]
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Guilhem Chéron, Anton Osokin, Ivan Laptev, Cordelia Schmid:
Modeling Spatio-Temporal Human Track Structure for Action Localization. CoRR abs/1806.11008 (2018)
[i50]
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Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid:
A flexible model for training action localization with varying levels of supervision. CoRR abs/1806.11328 (2018)
[i49]
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Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context is Key to Augmenting Object Detection Datasets. CoRR abs/1807.07428 (2018)
[i48]
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Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
How good is my GAN? CoRR abs/1807.09499 (2018)
[i47]
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Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. CoRR abs/1807.09536 (2018)
[i46]
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  - journals/corr/abs-1807-10982
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Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. CoRR abs/1807.10982 (2018)
[i45]
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  - journals/corr/abs-1809-02492
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Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. CoRR abs/1809.02492 (2018)
[i44]
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  - journals/corr/abs-1809-06396
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Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. CoRR abs/1809.06396 (2018)
[i43]
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Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid:
Modulated Policy Hierarchies. CoRR abs/1812.00025 (2018)
[i42]
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Yubo Zhang, Pavel Tokmakov, Cordelia Schmid, Martial Hebert:
A Structured Model For Action Detection. CoRR abs/1812.03544 (2018)
[i41]
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Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Detecting rare visual relations using analogies. CoRR abs/1812.05736 (2018)
2017
[j43]
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Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid:
Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach. Int. J. Comput. Vis. 121(1): 149-168 (2017)
[j42]
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Gaurav Sharma, Frédéric Jurie, Cordelia Schmid:
Expanded Parts Model for Semantic Description of Humans in Still Images. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 87-101 (2017)
[j41]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 189-203 (2017)
[c155]
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Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid:
Detecting Parts for Action Localization. BMVC 2017
[c154]
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Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. CVPR 2017: 531-539
[c153]
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  - conf/cvpr/RogezWS17
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Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net: Localization-Classification-Regression for Human Pose. CVPR 2017: 1216-1224
[c152]
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Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CVPR 2017: 4627-4635
[c151]
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  - conf/iccv/PedersoliLSV17
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Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek:
Areas of Attention for Image Captioning. ICCV 2017: 1251-1259
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  - conf/iccv/HanRHWCSP17
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Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. ICCV 2017: 1849-1858
[c149]
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  - conf/iccv/KalogeitonWFS17
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Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Joint Learning of Object and Action Detectors. ICCV 2017: 2001-2010
[c148]
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  - conf/iccv/ShmelkovSA17
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Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
Incremental Learning of Object Detectors without Catastrophic Forgetting. ICCV 2017: 3420-3429
[c147]
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Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid:
BlitzNet: A Real-Time Deep Network for Scene Understanding. ICCV 2017: 4174-4182
[c146]
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Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Action Tubelet Detector for Spatio-Temporal Action Localization. ICCV 2017: 4415-4423
[c145]
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Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. ICCV 2017: 4491-4500
[c144]
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  - conf/iccv/PeyreLSS17
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Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-Supervised Learning of Visual Relations. ICCV 2017: 5189-5198
[c143]
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  - conf/wiced/PotapovDRHS17
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Danila Potapov, Matthijs Douze, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid:
Inferring the Structure of Action Movies. WICED@Eurographics 2017: 19-27
[i40]
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Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CoRR abs/1701.01370 (2017)
[i39]
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Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow: Semantic Correspondences from Object Proposals. CoRR abs/1703.07144 (2017)
[i38]
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Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. CoRR abs/1704.05737 (2017)
[i37]
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Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki:
SfM-Net: Learning of Structure and Motion from Video. CoRR abs/1704.07804 (2017)
[i36]
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Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Action Tubelet Detector for Spatio-Temporal Action Localization. CoRR abs/1705.01861 (2017)
[i35]
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Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. CoRR abs/1705.04043 (2017)
[i34]
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Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. CoRR abs/1705.08421 (2017)
[i33]
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Weixin Yang, Terry J. Lyons, Hao Ni, Cordelia Schmid, Lianwen Jin, Jiawei Chang:
Leveraging the Path Signature for Skeleton-based Human Action Recognition. CoRR abs/1707.03993 (2017)
[i32]
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Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid:
Detecting Parts for Action Localization. CoRR abs/1707.06005 (2017)
[i31]
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Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-supervised learning of visual relations. CoRR abs/1707.09472 (2017)
[i30]
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  - journals/corr/abs-1708-02813
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Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid:
BlitzNet: A Real-Time Deep Network for Scene Understanding. CoRR abs/1708.02813 (2017)
[i29]
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  - journals/corr/abs-1708-06977
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Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
Incremental Learning of Object Detectors without Catastrophic Forgetting. CoRR abs/1708.06977 (2017)
[i28]
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  - journals/corr/abs-1712-01127
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Pavel Tokmakov, Cordelia Schmid, Karteek Alahari:
Learning to Segment Moving Objects. CoRR abs/1712.01127 (2017)
2016
[j40]
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Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid:
A Robust and Efficient Video Representation for Action Recognition. Int. J. Comput. Vis. 119(3): 219-238 (2016)
[j39]
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Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid:
Circulant Temporal Encoding for Video Retrieval and Temporal Alignment. Int. J. Comput. Vis. 119(3): 291-306 (2016)
[j38]
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Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid:
DeepMatching: Hierarchical Deformable Dense Matching. Int. J. Comput. Vis. 120(3): 300-323 (2016)
[j37]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Approximate Fisher Kernels of Non-iid Image Models for Image Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1084-1098 (2016)
[j36]
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Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1425-1438 (2016)
[j35]
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Vicky Kalogeiton, Vittorio Ferrari, Cordelia Schmid:
Analysing Domain Shift Factors between Videos and Images for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2327-2334 (2016)
[c142]
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Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow. CVPR 2016: 3475-3484
[c141]
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  - conf/eccv/TokmakovAS16
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Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Weakly-Supervised Semantic Segmentation Using Motion Cues. ECCV (4) 2016: 388-404
[c140]
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  - conf/eccv/PengS16
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Xiaojiang Peng, Cordelia Schmid:
Multi-region Two-Stream R-CNN for Action Detection. ECCV (4) 2016: 744-759
[c139]
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  - conf/nips/RogezS16
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Grégory Rogez, Cordelia Schmid:
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild. NIPS 2016: 3108-3116
[i27]
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Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid:
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach. CoRR abs/1603.00438 (2016)
[i26]
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Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Weakly-Supervised Semantic Segmentation using Motion Cues. CoRR abs/1603.07188 (2016)
[i25]
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Gül Varol, Ivan Laptev, Cordelia Schmid:
Long-term Temporal Convolutions for Action Recognition. CoRR abs/1604.04494 (2016)
[i24]
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Philippe Weinzaepfel, Xavier Martin, Cordelia Schmid:
Towards Weakly-Supervised Action Localization. CoRR abs/1605.05197 (2016)
[i23]
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Grégory Rogez, Cordelia Schmid:
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild. CoRR abs/1607.02046 (2016)
[i22]
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Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek:
Areas of Attention for Image Captioning. CoRR abs/1612.01033 (2016)
[i21]
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Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. CoRR abs/1612.07217 (2016)
2015
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Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid:
EpicFlow: Edge-preserving interpolation of correspondences for optical flow. CVPR 2015: 1164-1172
[c137]
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  - conf/cvpr/ChoKSP15
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Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. CVPR 2015: 1201-1210
[c136]
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Philippe Weinzaepfel, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid:
Learning to detect Motion Boundaries. CVPR 2015: 2578-2586
[c135]
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Mattis Paulin, Matthijs Douze, Zaïd Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid:
Local Convolutional Features with Unsupervised Training for Image Retrieval. ICCV 2015: 91-99
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Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. ICCV 2015: 3092-3100
[c133]
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Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid:
Learning to Track for Spatio-Temporal Action Localization. ICCV 2015: 3164-3172
[c132]
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Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. ICCV 2015: 3173-3181
[c131]
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Guilhem Chéron, Ivan Laptev, Cordelia Schmid:
P-CNN: Pose-Based CNN Features for Action Recognition. ICCV 2015: 3218-3226
[c130]
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Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video with Text. ICCV 2015: 4462-4470
[c129]
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  - conf/urai/ChoKLSP15
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Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in images and videos. URAI 2015: 292-293
[i20]
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Vicky Kalogeiton, Vittorio Ferrari, Cordelia Schmid:
Analysing domain shift factors between videos and images for object detection. CoRR abs/1501.01186 (2015)
[i19]
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Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid:
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow. CoRR abs/1501.02565 (2015)
[i18]
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Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals. CoRR abs/1501.06170 (2015)
[i17]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning. CoRR abs/1503.00949 (2015)
[i16]
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Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Image Classification. CoRR abs/1503.08677 (2015)
[i15]
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Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid:
A robust and efficient video representation for action recognition. CoRR abs/1504.05524 (2015)
[i14]
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Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. CoRR abs/1505.03825 (2015)
[i13]
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Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video With Text. CoRR abs/1505.06027 (2015)
[i12]
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Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid:
Learning to track for spatio-temporal action localization. CoRR abs/1506.01929 (2015)
[i11]
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Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid:
Circulant temporal encoding for video retrieval and temporal alignment. CoRR abs/1506.02588 (2015)
[i10]
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Guilhem Chéron, Ivan Laptev, Cordelia Schmid:
P-CNN: Pose-based CNN Features for Action Recognition. CoRR abs/1506.03607 (2015)
[i9]
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Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid:
Deep Convolutional Matching. CoRR abs/1506.07656 (2015)
[i8]
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Danila Potapov, Matthijs Douze, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid:
Beat-Event Detection in Action Movie Franchises. CoRR abs/1508.03755 (2015)
[i7]
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Gaurav Sharma, Frédéric Jurie, Cordelia Schmid:
Expanded Parts Model for Semantic Description of Humans in Still Images. CoRR abs/1509.04186 (2015)
[i6]
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Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. CoRR abs/1509.09114 (2015)
[i5]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Approximate Fisher Kernels of non-iid Image Models for Image Categorization. CoRR abs/1510.00857 (2015)
[i4]
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Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow. CoRR abs/1511.05065 (2015)
2014
[j34]
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Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid:
Activity representation with motion hierarchies. Int. J. Comput. Vis. 107(3): 219-238 (2014)
[j33]
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  - journals/pami/AkataPHS14
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Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Good Practice in Large-Scale Learning for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 507-520 (2014)
[c128]
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  - conf/cvpr/CherianMAS14
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Anoop Cherian, Julien Mairal, Karteek Alahari, Cordelia Schmid:
Mixing Body-Part Sequences for Human Pose Estimation. CVPR 2014: 2361-2368
[c127]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Multi-fold MIL Training for Weakly Supervised Object Localization. CVPR 2014: 2409-2416
[c126]
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Dan Oneata, Jakob Verbeek, Cordelia Schmid:
Efficient Action Localization with Approximately Normalized Fisher Vectors. CVPR 2014: 2545-2552
[c125]
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Mattis Paulin, Jérôme Revaud, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid:
Transformation Pursuit for Image Classification. CVPR 2014: 3646-3653
[c124]
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Yang Hua, Karteek Alahari, Cordelia Schmid:
Occlusion and Motion Reasoning for Long-Term Tracking. ECCV (6) 2014: 172-187
[c123]
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Danila Potapov, Matthijs Douze, Zaïd Harchaoui, Cordelia Schmid:
Category-Specific Video Summarization. ECCV (6) 2014: 540-555
[c122]
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Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos under Ordering Constraints. ECCV (5) 2014: 628-643
[c121]
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Dan Oneata, Jérôme Revaud, Jakob Verbeek, Cordelia Schmid:
Spatio-temporal Object Detection Proposals. ECCV (3) 2014: 737-752
[c120]
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  - conf/nips/MairalKHS14
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Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid:
Convolutional Kernel Networks. NIPS 2014: 2627-2635
[c119]
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Matthijs Douze, Dan Oneata, Mattis Paulin, Clément Leray, Nicolas Chesneau, Danila Potapov, Jakob Verbeek, Karteek Alahari, Zaïd Harchaoui, Lori Lamel, Jean-Luc Gauvain, Christoph Schmidt, Cordelia Schmid:
The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection. TRECVID 2014
[i3]
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Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid:
Convolutional Kernel Networks. CoRR abs/1406.3332 (2014)
[i2]
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Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos Under Ordering Constraints. CoRR abs/1407.1208 (2014)
2013
[j32]
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Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu:
Dense Trajectories and Motion Boundary Descriptors for Action Recognition. Int. J. Comput. Vis. 103(1): 60-79 (2013)
[j31]
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Alessandro Prest, Vittorio Ferrari, Cordelia Schmid:
Explicit Modeling of Human-Object Interactions in Realistic Videos. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 835-848 (2013)
[j30]
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Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid:
Temporal Localization of Actions with Actoms. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2782-2795 (2013)
[c118]
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Gaurav Sharma, Frédéric Jurie, Cordelia Schmid:
Expanded Parts Model for Human Attribute and Action Recognition in Still Images. CVPR 2013: 652-659
[c117]
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Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Attribute-Based Classification. CVPR 2013: 819-826
[c116]
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Jérôme Revaud, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Event Retrieval in Large Video Collections with Circulant Temporal Encoding. CVPR 2013: 2459-2466
[c115]
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Philippe Weinzaepfel, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid:
DeepFlow: Large Displacement Optical Flow with Deep Matching. ICCV 2013: 1385-1392
[c114]
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Dan Oneata, Jakob Verbeek, Cordelia Schmid:
Action and Event Recognition with Fisher Vectors on a Compact Feature Set. ICCV 2013: 1817-1824
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Matthijs Douze, Jérôme Revaud, Cordelia Schmid, Hervé Jégou:
Stable Hyper-pooling and Query Expansion for Event Detection. ICCV 2013: 1825-1832
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Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Finding Actors and Actions in Movies. ICCV 2013: 2280-2287
[c111]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Segmentation Driven Object Detection with Fisher Vectors. ICCV 2013: 2968-2975
[c110]
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Hueihan Jhuang, Juergen Gall, Silvia Zuffi, Cordelia Schmid, Michael J. Black:
Towards Understanding Action Recognition. ICCV 2013: 3192-3199
[c109]
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Silvia Zuffi, Javier Romero, Cordelia Schmid, Michael J. Black:
Estimating Human Pose with Flowing Puppets. ICCV 2013: 3312-3319
[c108]
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Heng Wang, Cordelia Schmid:
Action Recognition with Improved Trajectories. ICCV 2013: 3551-3558
[c107]
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Kevin McGuinness, Noel E. O'Connor, Robin Aly, Franciska de Jong, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Matthijs Douze, Cordelia Schmid:
The AXES PRO video search system. ICMR 2013: 307-308
[c106]
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Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaïd Harchaoui, Kevin McGuinness, Noel E. O'Connor, Dan Oneata, Omkar M. Parkhi, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman:
The AXES submissions at TRECVID 2013. TRECVID 2013
[i1]
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Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid:
Automatic Recognition of Human Activities in Realistic Videos. ERCIM News 2013(95) (2013)
2012
[j29]
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Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid:
Face Recognition from Caption-Based Supervision. Int. J. Comput. Vis. 96(1): 64-82 (2012)
[j28]
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Marcin Marszalek, Cordelia Schmid:
Accurate Object Recognition with Shape Masks. Int. J. Comput. Vis. 97(2): 191-209 (2012)
[j27]
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Alessandro Prest, Cordelia Schmid, Vittorio Ferrari:
Weakly Supervised Learning of Interactions between Humans and Objects. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 601-614 (2012)
[j26]
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Hervé Jégou, Florent Perronnin, Matthijs Douze, Jorge Sánchez, Patrick Pérez, Cordelia Schmid:
Aggregating Local Image Descriptors into Compact Codes. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1704-1716 (2012)
[c105]
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Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid:
Recognizing activities with cluster-trees of tracklets. BMVC 2012: 1-13
[c104]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Image categorization using Fisher kernels of non-iid image models. CVPR 2012: 2184-2191
[c103]
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Alessandro Prest, Christian Leistner, Javier Civera, Cordelia Schmid, Vittorio Ferrari:
Learning object class detectors from weakly annotated video. CVPR 2012: 3282-3289
[c102]
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Florent Perronnin, Zeynep Akata, Zaïd Harchaoui, Cordelia Schmid:
Towards good practice in large-scale learning for image classification. CVPR 2012: 3482-3489
[c101]
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Gaurav Sharma, Frédéric Jurie, Cordelia Schmid:
Discriminative spatial saliency for image classification. CVPR 2012: 3506-3513
[c100]
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Jérôme Revaud, Matthijs Douze, Cordelia Schmid:
Correlation-based burstiness for logo retrieval. ACM Multimedia 2012: 965-968
[c99]
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Robin Aly, Kevin McGuinness, Shu Chen, Noel E. O'Connor, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Basura Fernando, Tinne Tuytelaars, Dan Oneata, Matthijs Douze, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid:
AXES at TRECVID 2012: KIS, INS, and MED. TRECVID 2012
[e8]
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Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7572, Springer 2012, ISBN 978-3-642-33717-8 [contents]
[e7]
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Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7573, Springer 2012, ISBN 978-3-642-33708-6 [contents]
[e6]
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Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III. Lecture Notes in Computer Science 7574, Springer 2012, ISBN 978-3-642-33711-6 [contents]
[e5]
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Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV. Lecture Notes in Computer Science 7575, Springer 2012, ISBN 978-3-642-33764-2 [contents]
[e4]
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Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V. Lecture Notes in Computer Science 7576, Springer 2012, ISBN 978-3-642-33714-7 [contents]
[e3]
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Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI. Lecture Notes in Computer Science 7577, Springer 2012, ISBN 978-3-642-33782-6 [contents]
[e2]
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Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII. Lecture Notes in Computer Science 7578, Springer 2012, ISBN 978-3-642-33785-7 [contents]
2011
[j25]
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Hervé Jégou, Matthijs Douze, Cordelia Schmid:
Product Quantization for Nearest Neighbor Search. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 117-128 (2011)
[c98]
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Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid:
A time series kernel for action recognition. BMVC 2011: 1-11
[c97]
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Matthijs Douze, Arnau Ramisa, Cordelia Schmid:
Combining attributes and Fisher vectors for efficient image retrieval. CVPR 2011: 745-752
[c96]
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Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu:
Action recognition by dense trajectories. CVPR 2011: 3169-3176
[c95]
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Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid:
Actom sequence models for efficient action detection. CVPR 2011: 3201-3208
[c94]
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Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid:
Unsupervised metric learning for face identification in TV video. ICCV 2011: 1559-1566
[c93]
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Mohamed Ayari, Jonathan Delhumeau, Matthijs Douze, Hervé Jégou, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jiangbo Yuan:
INRIA @TRECVID 2011: Copy Detection & Multimedia Event Detection. TRECVID 2011
2010
[j24]
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Vittorio Ferrari, Frédéric Jurie, Cordelia Schmid:
From Images to Shape Models for Object Detection. Int. J. Comput. Vis. 87(3): 284-303 (2010)
[j23]
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Hervé Jégou, Matthijs Douze, Cordelia Schmid:
Improving Bag-of-Features for Large Scale Image Search. Int. J. Comput. Vis. 87(3): 316-336 (2010)
[j22]
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Hervé Jégou, Cordelia Schmid, Hedi Harzallah, Jakob Verbeek:
Accurate Image Search Using the Contextual Dissimilarity Measure. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 2-11 (2010)
[j21]
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Matthijs Douze, Hervé Jégou, Cordelia Schmid:
An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering. IEEE Trans. Multim. 12(4): 257-266 (2010)
[c92]
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Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid:
Multimodal semi-supervised learning for image classification. CVPR 2010: 902-909
[c91]
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  - conf/cvpr/LiebeltS10
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Joerg Liebelt, Cordelia Schmid:
Multi-view object class detection with a 3D geometric model. CVPR 2010: 1688-1695
[c90]
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Hervé Jégou, Matthijs Douze, Cordelia Schmid, Patrick Pérez:
Aggregating local descriptors into a compact image representation. CVPR 2010: 3304-3311
[c89]
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Alexander Kläser, Marcin Marszalek, Cordelia Schmid, Andrew Zisserman:
Human Focused Action Localization in Video. ECCV Workshops (1) 2010: 219-233
[c88]
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Matthijs Douze, Hervé Jégou, Cordelia Schmid, Patrick Pérez:
Compact Video Description for Copy Detection with Precise Temporal Alignment. ECCV (1) 2010: 522-535
[c87]
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Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid:
Multiple Instance Metric Learning from Automatically Labeled Bags of Faces. ECCV (1) 2010: 634-647
[c86]
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Jakob Verbeek, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid:
Image annotation with tagprop on the MIRFLICKR set. Multimedia Information Retrieval 2010: 537-546
[c85]
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Hervé Jégou, Patrick Gros, Matthijs Douze, Cordelia Schmid, Guillaume Gravier:
INRIA LEAR-TEXMEX: Video Copy Detection Task. TRECVID 2010

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
[j20]
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Marko Heikkilä, Matti Pietikäinen, Cordelia Schmid:
Description of interest regions with local binary patterns. Pattern Recognit. 42(3): 425-436 (2009)
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Joost van de Weijer, Cordelia Schmid, Jakob Verbeek, Diane Larlus:
Learning Color Names for Real-World Applications. IEEE Trans. Image Process. 18(7): 1512-1523 (2009)
[c84]
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Adrien Gaidon, Marcin Marszalek, Cordelia Schmid:
Mining Visual Actions from Movies. BMVC 2009: 1-11
[c83]
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Heng Wang, Muhammad Muneeb Ullah, Alexander Kläser, Ivan Laptev, Cordelia Schmid:
Evaluation of Local Spatio-temporal Features for Action Recognition. BMVC 2009: 1-11
[c82]
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Matthijs Douze, Hervé Jégou, Harsimrat Sandhawalia, Laurent Amsaleg, Cordelia Schmid:
Evaluation of GIST descriptors for web-scale image search. CIVR 2009
[c81]
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Matthijs Douze, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, Jakob Verbeek:
INRIA-LEAR's Participation in ImageCLEF 2009. CLEF (Working Notes) 2009
[c80]
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Tingting Jiang, Frédéric Jurie, Cordelia Schmid:
Learning shape prior models for object matching. CVPR 2009: 848-855
[c79]
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Hervé Jégou, Matthijs Douze, Cordelia Schmid:
On the burstiness of visual elements. CVPR 2009: 1169-1176
[c78]
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Marcin Marszalek, Ivan Laptev, Cordelia Schmid:
Actions in context. CVPR 2009: 2929-2936
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Hedi Harzallah, Frédéric Jurie, Cordelia Schmid:
Combining efficient object localization and image classification. ICCV 2009: 237-244
[c76]
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Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid:
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. ICCV 2009: 309-316
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Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid:
Is that you? Metric learning approaches for face identification. ICCV 2009: 498-505
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Hervé Jégou, Matthijs Douze, Cordelia Schmid:
Packing bag-of-features. ICCV 2009: 2357-2364
[c73]
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Cordelia Schmid:
Large Scale Image Search. MVA 2009: 138-147
2008
[j18]
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Cordelia Schmid, Stefano Soatto, Carlo Tomasi:
Editorial. Int. J. Comput. Vis. 76(2): 105 (2008)
[j17]
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Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas:
Learning to Recognize Objects with Little Supervision. Int. J. Comput. Vis. 77(1-3): 219-237 (2008)
[j16]
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Vittorio Ferrari, L. Fevrier, Frédéric Jurie, Cordelia Schmid:
Groups of Adjacent Contour Segments for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(1): 36-51 (2008)
[c72]
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Alexander Kläser, Marcin Marszalek, Cordelia Schmid:
A Spatio-Temporal Descriptor Based on 3D-Gradients. BMVC 2008: 1-10
[c71]
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Cordelia Schmid:
Large Scale Image Search. BMVC 2008
[c70]
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Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid:
Automatic face naming with caption-based supervision. CVPR 2008
[c69]
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Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Benjamin Rozenfeld:
Learning realistic human actions from movies. CVPR 2008
[c68]
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  - conf/cvpr/LiebeltSS08
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Joerg Liebelt, Cordelia Schmid, Klaus Schertler:
Viewpoint-independent object class detection using 3D Feature Maps. CVPR 2008
[c67]
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Hervé Jégou, Matthijs Douze, Cordelia Schmid:
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search. ECCV (1) 2008: 304-317
[c66]
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Marcin Marszalek, Cordelia Schmid:
Constructing Category Hierarchies for Visual Recognition. ECCV (4) 2008: 479-491
[c65]
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Caroline Pantofaru, Cordelia Schmid, Martial Hebert:
Object Recognition by Integrating Multiple Image Segmentations. ECCV (3) 2008: 481-494
[c64]
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Hervé Jégou, Matthijs Douze, Cordelia Schmid:
Recent Advances in Large Scale Image Search. ETVC 2008: 305-326
[c63]
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Hervé Jégou, Laurent Amsaleg, Cordelia Schmid, Patrick Gros:
Query adaptative locality sensitive hashing. ICASSP 2008: 825-828
[c62]
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Matthijs Douze, Adrien Gaidon, Hervé Jégou, Marcin Marszalek, Cordelia Schmid:
INRIA-LEAR'S Video Copy Detection System. TRECVID 2008
2007
[j15]
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Charles Bouveyron, Stéphane Girard, Cordelia Schmid:
High-dimensional data clustering. Comput. Stat. Data Anal. 52(1): 502-519 (2007)
[j14]
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Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid:
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. Int. J. Comput. Vis. 73(2): 213-238 (2007)
[j13]
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Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 477-491 (2007)
[c61]
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Vittorio Ferrari, Frédéric Jurie, Cordelia Schmid:
Accurate Object Detection with Deformable Shape Models Learnt from Images. CVPR 2007
[c60]
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  - conf/cvpr/JegouHS07
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Hervé Jégou, Hedi Harzallah, Cordelia Schmid:
A contextual dissimilarity measure for accurate and efficient image search. CVPR 2007
[c59]
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  - conf/cvpr/KushalSP07
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Akash Kushal, Cordelia Schmid, Jean Ponce:
Flexible Object Models for Category-Level 3D Object Recognition. CVPR 2007
[c58]
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Marcin Marszalek, Cordelia Schmid:
Accurate Object Localization with Shape Masks. CVPR 2007
[c57]
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  - conf/cvpr/MarszalekS07a
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Marcin Marszalek, Cordelia Schmid:
Semantic Hierarchies for Visual Object Recognition. CVPR 2007
[c56]
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  - conf/cvpr/WeijerSV07
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Joost van de Weijer, Cordelia Schmid, Jakob Verbeek:
Learning Color Names from Real-World Images. CVPR 2007
[c55]
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  - conf/iccv/TuytelaarsS07
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Tinne Tuytelaars, Cordelia Schmid:
Vector Quantizing Feature Space with a Regular Lattice. ICCV 2007: 1-8
[c54]
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Joost van de Weijer, Cordelia Schmid, Jakob Verbeek:
Using High-Level Visual Information for Color Constancy. ICCV 2007: 1-8
[c53]
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  - conf/icip/WeijerS07
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Joost van de Weijer, Cordelia Schmid:
Applying Color Names to Image Description. ICIP (3) 2007: 493-496
2006
[j12]
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Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints. Int. J. Comput. Vis. 66(3): 231-259 (2006)
[c52]
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Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman:
Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48
[c51]
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Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
3D Object Modeling and Recognition from Photographs and Image Sequences. Toward Category-Level Object Recognition 2006: 105-126
[c50]
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  - conf/clor/CarbonettoDSKF06
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Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas:
A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues. Toward Category-Level Object Recognition 2006: 277-300
[c49]
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Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Discriminative Framework for Texture and Object Recognition Using Local Image Features. Toward Category-Level Object Recognition 2006: 423-442
[c48]
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Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid:
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. CVPR Workshops 2006: 13
[c47]
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Caroline Pantofaru, Gyuri Dorkó, Cordelia Schmid, Martial Hebert:
Combining Regions and Patches for Object Class Localization. CVPR Workshops 2006: 23
[c46]
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Marcin Marszalek, Cordelia Schmid:
Spatial Weighting for Bag-of-Features. CVPR (2) 2006: 2118-2125
[c45]
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Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. CVPR (2) 2006: 2169-2178
[c44]
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Joost van de Weijer, Cordelia Schmid:
Coloring Local Feature Extraction. ECCV (2) 2006: 334-348
[c43]
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Navneet Dalal, Bill Triggs, Cordelia Schmid:
Human Detection Using Oriented Histograms of Flow and Appearance. ECCV (2) 2006: 428-441
[c42]
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Gyuri Dorkó, Cordelia Schmid:
Maximally Stable Local Description for Scale Selection. ECCV (4) 2006: 504-516
[c41]
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Joost van de Weijer, Cordelia Schmid:
Blur Robust and Color Constant Image Description. ICIP 2006: 993-996
[c40]
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  - conf/icvgip/HeikkilaPS06
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Marko Heikkilä, Matti Pietikäinen, Cordelia Schmid:
Description of Interest Regions with Center-Symmetric Local Binary Patterns. ICVGIP 2006: 58-69
[c39]
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Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard:
Object Localization by Subspace Clustering of Local Descriptors. ICVGIP 2006: 457-467
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Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman:
Toward Category-Level Object Recognition. Lecture Notes in Computer Science 4170, Springer 2006, ISBN 3-540-68794-7 [contents]
2005
[j11]
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Krystian Mikolajczyk, Tinne Tuytelaars, Cordelia Schmid, Andrew Zisserman, Jiri Matas, Frederik Schaffalitzky, Timor Kadir, Luc Van Gool:
A Comparison of Affine Region Detectors. Int. J. Comput. Vis. 65(1-2): 43-72 (2005)
[j10]
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Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Sparse Texture Representation Using Local Affine Regions. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1265-1278 (2005)
[j9]
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Krystian Mikolajczyk, Cordelia Schmid:
A Performance Evaluation of Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1615-1630 (2005)
[c38]
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  - conf/bmvc/BlanchetFS05
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Juliette Blanchet, Florence Forbes, Cordelia Schmid:
Markov Random Fields for Textures Recognition with Local Invariant Regions and their Geometric Relationships. BMVC 2005
[c37]
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Juliette Blanchet, Florence Forbes, Cordelia Schmid:
Modèles markoviens pour l'organisation spatiale de descripteurs d'images. CAP 2005: 113-126
[c36]
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Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Maximum Entropy Framework for Part-Based Texture and Object Recognition. ICCV 2005: 832-838
[c35]
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  - conf/mlcw/EveringhamZWGABCDDDDEFFGGJKKLLLMNSSSSSSTUVZ05
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Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176
[c34]
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Charles Bouveyron, Stéphane Girard, Cordelia Schmid:
Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS 2005: 139-150
2004
[j8]
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Yves Dufournaud, Cordelia Schmid, Radu Horaud:
Image matching with scale adjustment. Comput. Vis. Image Underst. 93(2): 175-194 (2004)
[j7]
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Cordelia Schmid:
Weakly Supervised Learning of Visual Models and Its Application to Content-Based Retrieval. Int. J. Comput. Vis. 56(1-2): 7-16 (2004)
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Krystian Mikolajczyk, Cordelia Schmid:
Scale & Affine Invariant Interest Point Detectors. Int. J. Comput. Vis. 60(1): 63-86 (2004)
[c33]
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Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Semi-Local Affine Parts for Object Recognition. BMVC 2004: 1-10
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Frédéric Jurie, Cordelia Schmid:
Scale-Invariant Shape Features for Recognition of Object Categories. CVPR (2) 2004: 90-96
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Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. CVPR (2) 2004: 914-921
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Krystian Mikolajczyk, Cordelia Schmid, Andrew Zisserman:
Human Detection Based on a Probabilistic Assembly of Robust Part Detectors. ECCV (1) 2004: 69-82
[c29]
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Krystian Mikolajczyk, Cordelia Schmid:
Comparison of affine-invariant local detectors and descriptors. EUSIPCO 2004: 1729-1732
2003
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Ragini Choudhury, Cordelia Schmid, Krystian Mikolajczyk:
Face Detection and Tracking in a Video by Propagating Detection Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1215-1228 (2003)
[c28]
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Krystian Mikolajczyk, Andrew Zisserman, Cordelia Schmid:
Shape recognition with edge-based features. BMVC 2003: 1-10
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Krystian Mikolajczyk, Cordelia Schmid:
A performance evaluation of local descriptors. CVPR (2) 2003: 257-263
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Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints. CVPR (2) 2003: 272-280
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Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Sparse Texture Representation Using Affine-Invariant Regions. CVPR (2) 2003: 319-326
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Gyuri Dorkó, Cordelia Schmid:
Selection of Scale-Invariant Parts for Object Class Recognition. ICCV 2003: 634-640
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Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition. ICCV 2003: 649-655
2002
[c22]
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Krystian Mikolajczyk, Cordelia Schmid:
An Affine Invariant Interest Point Detector. ECCV (1) 2002: 128-142
[c21]
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Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, David J. Kriegman, Jean Ponce, Martial Hebert:
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes. ECCV (3) 2002: 651-665
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Rémi Ronfard, Cordelia Schmid, Bill Triggs:
Learning to Parse Pictures of People. ECCV (4) 2002: 700-714
2001
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Cordelia Schmid:
Constructing models for content-based image retrieval. CVPR (2) 2001: 39-45
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Krystian Mikolajczyk, Ragini Choudhury, Cordelia Schmid:
Face detection in a video sequence - a temporal approach. CVPR (2) 2001: 96-101
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Krystian Mikolajczyk, Cordelia Schmid:
Indexing Based on Scale Invariant Interest Points. ICCV 2001: 525-531
2000
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Cordelia Schmid, Roger Mohr, Christian Bauckhage:
Evaluation of Interest Point Detectors. Int. J. Comput. Vis. 37(2): 151-172 (2000)
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Cordelia Schmid, Andrew Zisserman:
The Geometry and Matching of Lines and Curves Over Multiple Views. Int. J. Comput. Vis. 40(3): 199-233 (2000)
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Yves Dufournaud, Cordelia Schmid, Radu Horaud:
Matching Images with Different Resolutions. CVPR 2000: 1612-
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Veronika Vogelhuber, Cordelia Schmid:
Face Detection Based on Generic Local Descriptors and Spatial Constraints. ICPR 2000: 5084-5087

1990 – 1999

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1999
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Cordelia Schmid:
A Structured Probabilistic Model for Recognition. CVPR 1999: 2485-2490
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Cordelia Schmid, Andrew Zisserman, Roger Mohr:
Integrating Geometric and Photometric Information for Image Retrieval. Shape, Contour and Grouping in Computer Vision 1999: 217-233
1998
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Cordelia Schmid, Andrew Zisserman:
The Geometry and Matching of Curves in Multiple Views. ECCV (1) 1998: 394-409
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Cordelia Schmid, Roger Mohr, Christian Bauckhage:
Comparing and Evaluating Interest Points. ICCV 1998: 230-235
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Roger Mohr, Patrick Gros, Cordelia Schmid:
Effient Matching with Invariant Local Descriptors. SSPR/SPR 1998: 54-71
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Pascal Bertolino, Roger Mohr, Cordelia Schmid, Patrick Bouthemy, Marc Gelgon, Fabien Spindler, Serge Benayoun, Hélène Bernard:
Building and using hypervideos. WACV 1998: 276-277
1997
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Cordelia Schmid, Roger Mohr:
Local Grayvalue Invariants for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 530-535 (1997)
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Roger Mohr, Sylvaine Picard, Cordelia Schmid:
Bayesian Decision Versus Voting for Image Retrieval. CAIP 1997: 376-383
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Cordelia Schmid, Andrew Zisserman:
Automatic line matching across views. CVPR 1997: 666-671
1996
[b1]
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Cordelia Schmid:
Appariement d'images par invariants locaux de niveaux de gris. Application à l'indexation d'une base d'objets. (Image matching by local greyvalue invariants. Applied to indexing an object database). Grenoble Institute of Technology, France, 1996
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Cordelia Schmid, Roger Mohr:
Combining greyvalue invariants with local constraints for object recognition. CVPR 1996: 872-877
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Cordelia Schmid, Philippe Bobet, Bart Lamiroy, Roger Mohr:
An Image Oriented CAD Approach. Object Representation in Computer Vision 1996: 221-245
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Cordelia Schmid, Roger Mohr:
Image retrieval using local characterization. ICIP (2) 1996: 781-784
1994
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Philippe Bobet, Cordelia Schmid:
Obstacle detection analysis. CVPR 1994: 796-799
1993
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James L. Crowley, Philippe Bobet, Cordelia Schmid:
Auto-calibration by direct observation of objects. Image Vis. Comput. 11(2): 67-81 (1993)
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James L. Crowley, Philippe Bobet, Cordelia Schmid:
Maintaining stereo calibration by tracking image points. CVPR 1993: 483-488
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James L. Crowley, Philippe Bobet, Cordelia Schmid:
Dynamic calibration of an active stereo head. ICCV 1993: 734-739

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