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ORCIDAude Oliva
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- affiliation: MIT, Cambridge, MA, USA
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2020 – today
- 2024
[c55]Camilo Fosco, Benjamin Lahner, Bowen Pan, Alex Andonian, Emilie Josephs, Alex Lascelles, Aude Oliva:
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals. ECCV (26) 2024: 457-474- [c54]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) 2024: 950-974 - [c53]Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko:
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV 2024: 946-956 - [i41]Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda:
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR abs/2404.05567 (2024) - [i40]Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky:
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR abs/2405.17258 (2024) - [i39]Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky:
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR abs/2406.08164 (2024) - 2023
- [c52]Camilo Luciano Fosco, SouYoung Jin, Emilie Josephs, Aude Oliva:
Leveraging Temporal Context in Low Representational Power Regimes. CVPR 2023: 10693-10703 - [c51]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV 2023: 20098-20108 - [c50]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. NeurIPS 2023 - [i38]Alessandro T. Gifford
, Benjamin Lahner, Sari Saba-Sadiya, Martina G. Vilas, Alex Lascelles, Aude Oliva, K. Kay, Gemma Roig, Radoslaw Martin Cichy:
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes. CoRR abs/2301.03198 (2023) - [i37]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR abs/2303.17590 (2023) - [i36]Emilie Josephs, Camilo Fosco, Aude Oliva:
Artifact magnification on deepfake videos increases human detection and subjective confidence. CoRR abs/2304.04733 (2023) - [i35]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. CoRR abs/2310.07889 (2023) - [i34]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. CoRR abs/2311.06231 (2023) - 2022
- [j20]Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9434-9445 (2022) - [c49]Alexander H. Liu, SouYoung Jin, Cheng-I Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass:
Cross-Modal Discrete Representation Learning. ACL (1) 2022: 3013-3035 - [c48]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c47]Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris:
How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 - [i33]Camilo Fosco, Emilie Josephs, Alex Andonian, Allen Lee, Xi Wang, Aude Oliva:
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines. CoRR abs/2206.00535 (2022) - 2021
- [c46]Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister:
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. PacificVis 2021: 31-40 - [c45]Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR 2021: 6165-6175 - [c44]Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva:
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. CVPR 2021: 14871-14881 - [c43]Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. ICCV 2021: 7355-7365 - [c42]Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV 2021: 7556-7565 - [c41]Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR 2021 - [c40]Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. ICLR 2021 - [c39]Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva:
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS 2021: 24898-24911 - [i32]Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR abs/2102.05775 (2021) - [i31]Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. CoRR abs/2102.07887 (2021) - [i30]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko:
All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR abs/2103.01435 (2021) - [i29]David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba:
Paint by Word. CoRR abs/2103.10951 (2021) - [i28]Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva:
Memorability: An image-computable measure of information utility. CoRR abs/2104.00805 (2021) - [i27]Radoslaw Martin Cichy, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, P. Iamshchinina, Monika Graumann, Alex Andonian, N. A. R. Murty, K. Kay, Gemma Roig, Aude Oliva:
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. CoRR abs/2104.13714 (2021) - [i26]Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva:
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. CoRR abs/2105.04489 (2021) - [i25]Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR abs/2105.05165 (2021) - [i24]Alexander H. Liu, SouYoung Jin, Cheng-I Jeff Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass:
Cross-Modal Discrete Representation Learning. CoRR abs/2106.05438 (2021) - [i23]Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva:
IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers. CoRR abs/2106.12620 (2021) - [i22]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. CoRR abs/2108.10394 (2021) - [i21]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - 2020
- [j19]Lisa Amini, Ching-Hua Chen, David D. Cox, Aude Oliva, Antonio Torralba:
Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. AI Mag. 41(1): 70-81 (2020) - [j18]Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund:
Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 502-508 (2020) - [c38]Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris:
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops 2020: 1009-1018 - [c37]Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii:
How Much Time Do You Have? Modeling Multi-Duration Saliency. CVPR 2020: 4472-4481 - [c36]Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva:
We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. ECCV (18) 2020: 18-34 - [c35]Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris:
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) 2020: 86-104 - [c34]Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva:
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. ECCV (16) 2020: 223-240 - [i20]Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris:
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR abs/2007.15796 (2020) - [i19]Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva:
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. CoRR abs/2008.05596 (2020) - [i18]Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva:
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. CoRR abs/2009.02568 (2020) - [i17]Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR abs/2010.11757 (2020)
2010 – 2019
- 2019
- [j17]Radoslaw Martin Cichy, Gemma Roig, Aude Oliva:
The Algonauts Project. Nat. Mach. Intell. 1(12): 613 (2019) - [j16]Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand:
What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 740-757 (2019) - [j15]Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Interpreting Deep Visual Representations via Network Dissection. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2131-2145 (2019) - [c33]Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Identifying Interpretable Action Concepts in Deep Networks. CVPR Workshops 2019: 12-15 - [c32]Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. ICCV 2019: 3918-3927 - [c31]Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola:
GANalyze: Toward Visual Definitions of Cognitive Image Properties. ICCV 2019: 5743-5752 - [p1]Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Comparing the Interpretability of Deep Networks via Network Dissection. Explainable AI 2019: 243-252 - [i16]Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva:
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. CoRR abs/1905.05675 (2019) - [i15]Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, Bolei Zhou:
Cross-view Semantic Segmentation for Sensing Surroundings. CoRR abs/1906.03560 (2019) - [i14]Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola:
Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties. CoRR abs/1906.10112 (2019) - [i13]Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. CoRR abs/1909.04743 (2019) - [i12]Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR abs/1911.00232 (2019) - 2018
- [j14]Seyed-Mahdi Khaligh-Razavi, Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva:
Tracking the Spatiotemporal Neural Dynamics of Real-world Object Size and Animacy in the Human Brain. J. Cogn. Neurosci. 30(11) (2018) - [j13]Bolei Zhou, Àgata Lapedriza, Aditya Khosla, Aude Oliva, Antonio Torralba:
Places: A 10 Million Image Database for Scene Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1452-1464 (2018) - [c30]Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba:
Temporal Relational Reasoning in Videos. ECCV (1) 2018: 831-846 - [i11]Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva:
Moments in Time Dataset: one million videos for event understanding. CoRR abs/1801.03150 (2018) - [i10]Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand:
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. CoRR abs/1807.10441 (2018) - 2017
- [j12]Wilma A. Bainbridge, Daniel D. Dilks, Aude Oliva:
Memorability: A stimulus-driven perceptual neural signature distinctive from memory. NeuroImage 149: 141-152 (2017) - [j11]Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Aude Oliva:
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks. NeuroImage 153: 346-358 (2017) - [j10]Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister:
BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. ACM Trans. Comput. Hum. Interact. 24(5): 36:1-36:40 (2017) - [c29]Seyed-Mahdi Khaligh-Razavi, Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva:
Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size. AAAI Spring Symposia 2017 - [c28]Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann:
Asynchronous Data Aggregation for Training End to End Visual Control Networks. AAMAS 2017: 530-537 - [c27]David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CVPR 2017: 3319-3327 - [i9]Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister:
BubbleView: an alternative to eye-tracking for crowdsourcing image importance. CoRR abs/1702.05150 (2017) - [i8]David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CoRR abs/1704.05796 (2017) - [i7]Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva:
Understanding Infographics through Textual and Visual Tag Prediction. CoRR abs/1709.09215 (2017) - [i6]Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Interpreting Deep Visual Representations via Network Dissection. CoRR abs/1711.05611 (2017) - 2016
- [j9]Jianxiong Xiao, Krista A. Ehinger, James Hays, Antonio Torralba, Aude Oliva:
SUN Database: Exploring a Large Collection of Scene Categories. Int. J. Comput. Vis. 119(1): 3-22 (2016) - [j8]Michelle A. Borkin, Zoya Bylinskii, Nam Wook Kim, Constance May Bainbridge, Chelsea S. Yeh, Daniel Borkin, Hanspeter Pfister, Aude Oliva:
Beyond Memorability: Visualization Recognition and Recall. IEEE Trans. Vis. Comput. Graph. 22(1): 519-528 (2016) - [c26]Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba:
Learning Deep Features for Discriminative Localization. CVPR 2016: 2921-2929 - [c25]Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand:
Where Should Saliency Models Look Next? ECCV (5) 2016: 809-824 - [r1]Aude Oliva, Santani Teng:
Cognitive Society. Handbook of Science and Technology Convergence 2016: 743-754 - [i5]Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva:
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition. CoRR abs/1601.02970 (2016) - [i4]Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand:
What do different evaluation metrics tell us about saliency models? CoRR abs/1604.03605 (2016) - [i3]Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Antonio Torralba, Aude Oliva:
Places: An Image Database for Deep Scene Understanding. CoRR abs/1610.02055 (2016) - 2015
- [j7]Wilma Alice Bainbridge, Aude Oliva:
Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions. NeuroImage 122: 408-416 (2015) - [c24]Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Aude Oliva, Krzysztof Z. Gajos, Hanspeter Pfister:
A Crowdsourced Alternative to Eye-tracking for Visualization Understanding. CHI Extended Abstracts 2015: 1349-1354 - [c23]Zoya Bylinskii, Michelle A. Borkin, Nam Wook Kim, Hanspeter Pfister, Aude Oliva:
Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information Visualizations. ETVIS 2015: 235-255 - [c22]Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva:
Understanding and Predicting Image Memorability at a Large Scale. ICCV 2015: 2390-2398 - [c21]Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Learning visual biases from human imagination. NIPS 2015: 289-297 - [c20]Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba:
Object Detectors Emerge in Deep Scene CNNs. ICLR 2015 - [i2]Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba:
Learning Deep Features for Discriminative Localization. CoRR abs/1512.04150 (2015) - 2014
- [j6]Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva:
What Makes a Photograph Memorable? IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1469-1482 (2014) - [c19]Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic:
Predicting Actions from Static Scenes. ECCV (5) 2014: 421-436 - [c18]Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba:
Recognizing City Identity via Attribute Analysis of Geo-tagged Images. ECCV (3) 2014: 519-534 - [c17]Bolei Zhou, Àgata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
Learning Deep Features for Scene Recognition using Places Database. NIPS 2014: 487-495 - [i1]Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Acquiring Visual Classifiers from Human Imagination. CoRR abs/1410.4627 (2014) - 2013
- [j5]Michelle Borkin, Azalea A. Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister:
What Makes a Visualization Memorable? IEEE Trans. Vis. Comput. Graph. 19(12): 2306-2315 (2013) - [c16]Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba, Aude Oliva:
Modifying the Memorability of Face Photographs. ICCV 2013: 3200-3207 - 2012
- [c15]Wilma A. Bainbridge, Phillip Isola, Idan Blank, Aude Oliva:
Establishing a Database for Studying Human Face Photograph Memory. CogSci 2012 - [c14]Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
Recognizing scene viewpoint using panoramic place representation. CVPR 2012: 2695-2702 - [c13]Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
Memorability of Image Regions. NIPS 2012: 305-313 - [c12]Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva:
Image memorability and visual inception. SIGGRAPH Asia Technical Briefs 2012: 35:1-35:4 - [c11]Jianxiong Xiao, Bryan C. Russell, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
Basic level scene understanding: from labels to structure and beyond. SIGGRAPH Asia Technical Briefs 2012: 36:1-36:4 - 2011
- [c10]Krista A. Ehinger, Aude Oliva:
Canonical views of scenes depend on the shape of the space. CogSci 2011 - [c9]Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
Estimating scene typicality from human ratings and image features. CogSci 2011 - [c8]Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
What makes an image memorable? CVPR 2011: 145-152 - [c7]Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva:
Understanding the Intrinsic Memorability of Images. NIPS 2011: 2429-2437 - 2010
- [c6]Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
SUN database: Large-scale scene recognition from abbey to zoo. CVPR 2010: 3485-3492
2000 – 2009
- 2006
- [j4]Aude Oliva, Antonio Torralba, Philippe G. Schyns:
Hybrid images. ACM Trans. Graph. 25(3): 527-532 (2006) - [c5]Kathryn Carlson, Brian DeLevie, Aude Oliva:
Ethics in image manipulation Video presentations from this panel session are available on the citation page. SIGGRAPH Panels 2006: 4 - 2005
- [c4]Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba:
Human Learning of Contextual Priors for Object Search: Where does the time go? CVPR Workshops 2005: 86 - 2003
- [c3]Aude Oliva, Antonio Torralba, Monica S. Castelhano, John M. Henderson:
Top-down control of visual attention in object detection. ICIP (1) 2003: 253-256 - 2002
- [j3]Antonio Torralba, Aude Oliva:
Depth Estimation from Image Structure. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1226-1238 (2002) - [c2]Aude Oliva, Antonio Torralba:
Scene-Centered Description from Spatial Envelope Properties. Biologically Motivated Computer Vision 2002: 263-272 - 2001
- [j2]Aude Oliva, Antonio Torralba:
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. Int. J. Comput. Vis. 42(3): 145-175 (2001) - 2000
- [j1]Anne Guérin-Dugué, Aude Oliva:
Classification of scene photographs from local orientations features. Pattern Recognit. Lett. 21(13-14): 1135-1140 (2000)
1990 – 1999
- 1999
- [c1]Antonio Torralba, Aude Oliva:
Semantic Organization of Scenes using Discriminant Structural Templates. ICCV 1999: 1253
Coauthor Index
Alex Andonian
aka: Alex J. Andonian
aka: Alex J. Andonian
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
Camilo Fosco
aka: Camilo Luciano Fosco
aka: Camilo Luciano Fosco
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