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2020 – today
- 2024
[c29]Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani:
iEdit: Localised Text-guided Image Editing with Weak Supervision. CVPR Workshops 2024: 7426-7435- [c28]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CVPR 2024: 9870-9880 - [i11]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR abs/2402.18842 (2024) - [i10]Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de Charette, Loris Bazzani:
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts. CoRR abs/2410.08211 (2024) - [i9]Ziwei Wang, Sameera Ramasinghe, Chenchen Xu, Julien Monteil, Loris Bazzani, Thalaiyasingam Ajanthan:
Learning Visual Hierarchies with Hyperbolic Embeddings. CoRR abs/2411.17490 (2024) - 2023
- [i8]Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim
, Michael Donoser, Loris Bazzani:
iEdit: Localised Text-guided Image Editing with Weak Supervision. CoRR abs/2305.05947 (2023) - 2022
- [i7]Mengmeng Xu, Erhan Gundogdu, Maksim Lapin, Bernard Ghanem, Michael Donoser, Loris Bazzani:
Contrastive Language-Action Pre-training for Temporal Localization. CoRR abs/2204.12293 (2022) - 2021
- [c27]Antonio D'Innocente, Nikhil Garg, Yuan Zhang, Loris Bazzani, Michael Donoser:
Localized Triplet Loss for Fine-Grained Fashion Image Retrieval. CVPR Workshops 2021: 3910-3915 - [c26]Amaia Salvador, Erhan Gundogdu, Loris Bazzani, Michael Donoser:
Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning. CVPR 2021: 15475-15484 - [c25]Yuxin Hou, Eleonora Vig, Michael Donoser, Loris Bazzani:
Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval. ICCV 2021: 12127-12137 - [i6]Amaia Salvador, Erhan Gundogdu, Loris Bazzani, Michael Donoser:
Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning. CoRR abs/2103.13061 (2021) - 2020
- [c24]Yanbei Chen, Shaogang Gong, Loris Bazzani:
Image Search With Text Feedback by Visiolinguistic Attention Learning. CVPR 2020: 2998-3008 - [c23]Yanbei Chen, Loris Bazzani:
Learning Joint Visual Semantic Matching Embeddings for Language-Guided Retrieval. ECCV (22) 2020: 136-152
2010 – 2019
- 2018
- [i5]Loris Bazzani, Tobias Domhan, Felix Hieber:
Image Captioning as Neural Machine Translation Task in SOCKEYE. CoRR abs/1810.04101 (2018) - 2017
- [j7]Vittorio Murino, Shaogang Gong, Chen Change Loy, Loris Bazzani:
Image and Video Understanding in Big Data. Comput. Vis. Image Underst. 156: 1-3 (2017) - [c22]Loris Bazzani, Hugo Larochelle, Lorenzo Torresani:
Recurrent Mixture Density Network for Spatiotemporal Visual Attention. ICLR (Poster) 2017 - [p3]Sebastiano Vascon, Loris Bazzani:
Group Detection and Tracking Using Sociological Features. Group and Crowd Behavior for Computer Vision 2017: 29-66 - 2016
- [j6]Ha Quang Minh, Loris Bazzani, Vittorio Murino:
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning. J. Mach. Learn. Res. 17: 25:1-25:72 (2016) - [c21]Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino:
Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification. CVPR 2016: 5195-5203 - [c20]Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov, Lorenzo Torresani:
Self-taught object localization with deep networks. WACV 2016: 1-9 - [i4]Loris Bazzani, Hugo Larochelle, Lorenzo Torresani:
Recurrent Mixture Density Network for Spatiotemporal Visual Attention. CoRR abs/1603.08199 (2016) - [i3]Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino:
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification. CoRR abs/1609.09251 (2016) - 2015
- [j5]Loris Bazzani, Matteo Zanotto, Marco Cristani, Vittorio Murino:
Joint Individual-Group Modeling for Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 746-759 (2015) - 2014
- [c19]Marco San-Biagio, Loris Bazzani, Marco Cristani, Vittorio Murino:
Weighted bag of visual words for object recognition. ICIP 2014: 2734-2738 - [p2]Loris Bazzani, Marco Cristani, Vittorio Murino:
SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features. Person Re-Identification 2014: 43-69 - [i2]Alessandro Bergamo, Loris Bazzani, Dragomir Anguelov, Lorenzo Torresani:
Self-taught Object Localization with Deep Networks. CoRR abs/1409.3964 (2014) - 2013
- [j4]Loris Bazzani, Marco Cristani, Vittorio Murino:
Symmetry-driven accumulation of local features for human characterization and re-identification. Comput. Vis. Image Underst. 117(2): 130-144 (2013) - [j3]Loris Bazzani, Marco Cristani, Diego Tosato, Michela Farenzena, Giulia Paggetti, Gloria Menegaz, Vittorio Murino:
Social interactions by visual focus of attention in a three-dimensional environment. Expert Syst. J. Knowl. Eng. 30(2): 115-127 (2013) - [c18]Dario Figueira, Loris Bazzani, Ha Quang Minh, Marco Cristani, Alexandre Bernardino, Vittorio Murino:
Semi-supervised multi-feature learning for person re-identification. AVSS 2013: 111-116 - [c17]Giorgio Roffo, Marco Cristani, Loris Bazzani, Ha Quang Minh, Vittorio Murino:
Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification. ICCV Workshops 2013: 748-754 - [c16]Pietro Salvagnini, Loris Bazzani, Marco Cristani, Vittorio Murino:
Person re-identification with a PTZ camera: An introductory study. ICIP 2013: 3552-3556 - [c15]Ha Quang Minh, Loris Bazzani, Vittorio Murino:
A unifying framework for vector-valued manifold regularization and multi-view learning. ICML (2) 2013: 100-108 - 2012
- [j2]Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas:
Learning Where to Attend with Deep Architectures for Image Tracking. Neural Comput. 24(8): 2151-2184 (2012) - [j1]Loris Bazzani, Marco Cristani, Alessandro Perina, Vittorio Murino:
Multiple-shot person re-identification by chromatic and epitomic analyses. Pattern Recognit. Lett. 33(7): 898-903 (2012) - [c14]Matteo Zanotto, Loris Bazzani, Marco Cristani, Vittorio Murino:
Online Bayesian Non-parametrics for Social Group Detection. BMVC 2012: 1-12 - [c13]Loris Bazzani, Marco Cristani, Vittorio Murino:
Decentralized particle filter for joint individual-group tracking. CVPR 2012: 1886-1893 - [c12]Igor Barros Barbosa, Marco Cristani, Alessio Del Bue, Loris Bazzani, Vittorio Murino:
Re-identification with RGB-D Sensors. ECCV Workshops (1) 2012: 433-442 - [c11]Samuele Martelli, Marco Cristani, Loris Bazzani, Diego Tosato, Vittorio Murino:
Joining feature-based and similarity-based pattern description paradigms for object detection. ICPR 2012: 2702-2705 - [c10]Marco Cristani, Giorgio Roffo, Cristina Segalin, Loris Bazzani, Alessandro Vinciarelli, Vittorio Murino:
Conversationally-inspired stylometric features for authorship attribution in instant messaging. ACM Multimedia 2012: 1121-1124 - [p1]Loris Bazzani, Marco Cristani, Giulia Paggetti, Diego Tosato, Gloria Menegaz, Vittorio Murino:
Analyzing Groups: A Social Signaling Perspective. Video Analytics for Business Intelligence 2012: 271-305 - 2011
- [c9]Dong Seon Cheng, Marco Cristani, Michele Stoppa, Loris Bazzani, Vittorio Murino:
Custom Pictorial Structures for Re-identification. BMVC 2011: 1-11 - [c8]Marco Cristani, Loris Bazzani, Giulia Paggetti, Andrea Fossati, Diego Tosato, Alessio Del Bue, Gloria Menegaz, Vittorio Murino:
Social interaction discovery by statistical analysis of F-formations. BMVC 2011: 1-12 - [c7]Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting:
Learning attentional policies for tracking and recognition in video with deep networks. ICML 2011: 937-944 - [c6]Marco Cristani, Giulia Paggetti, Alessandro Vinciarelli, Loris Bazzani, Gloria Menegaz, Vittorio Murino:
Towards Computational Proxemics: Inferring Social Relations from Interpersonal Distances. SocialCom/PASSAT 2011: 290-297 - [i1]Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas:
Learning where to Attend with Deep Architectures for Image Tracking. CoRR abs/1109.3737 (2011) - 2010
- [c5]Michela Farenzena, Loris Bazzani, Alessandro Perina, Vittorio Murino, Marco Cristani:
Person re-identification by symmetry-driven accumulation of local features. CVPR 2010: 2360-2367 - [c4]Loris Bazzani, Marco Cristani, Vittorio Murino:
Collaborative particle filters for group tracking. ICIP 2010: 837-840 - [c3]Loris Bazzani, Marco Cristani, Alessandro Perina, Michela Farenzena, Vittorio Murino:
Multiple-Shot Person Re-identification by HPE Signature. ICPR 2010: 1413-1416
2000 – 2009
- 2009
- [c2]Michela Farenzena, Loris Bazzani, Vittorio Murino, Marco Cristani:
Towards a Subject-Centered Analysis for Automated Video Surveillance. ICIAP 2009: 481-489 - [c1]Loris Bazzani, Marco Cristani, Manuele Bicego, Vittorio Murino:
Online subjective feature selection for occlusion management in tracking applications. ICIP 2009: 3617-3620
Coauthor Index
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last updated on 2025-01-09 12:53 CET by the dblp team
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