Lorenzo Torresani

186 papers A* 51A 13B 2C 1Misc 4Journal 84Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BIMBA: Selective-Scan Compression for Long-Range Video Question Answering. CVPR Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Gedas Bertasius, Lorenzo Torresani
2025	J	`jnl`	BIMBA: Selective-Scan Compression for Long-Range Video Question Answering. CoRR Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Gedas Bertasius, Lorenzo Torresani
2025	J	`jnl`	Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. Int. J. Comput. Vis. Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, David Crandall, Dima Damen, Jakob Julian Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray
2025	J	`jnl`	Ego4D: Around the World in 3,600 Hours of Egocentric Video. IEEE Trans. Pattern Anal. Mach. Intell. Kristen Grauman, Andrew Westbury, Eugene Byrne, Vincent Cartillier, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Devansh Kukreja, 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, 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 K. 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
2025	J	`jnl`	Enrich and Detect: Video Temporal Grounding with Multimodal LLMs. CoRR Shraman Pramanick, Effrosyni Mavroudi, Yale Song, Rama Chellappa, Lorenzo Torresani, Triantafyllos Afouras
2025	J	`jnl`	Learning Activity View-invariance Under Extreme Viewpoint Changes via Curriculum Knowledge Distillation. CoRR Arjun Somayazulu, Efi Mavroudi, Changan Chen, Lorenzo Torresani, Kristen Grauman
2025	J	`jnl`	PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. CoRR Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Dutt Jain, Miguel Martin, Huiyu Wang, Hanoona Abdul Rasheed, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Shane Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman H. Khan, Philipp Krähenbühl, Piotr Dollár, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer
2025	A*	`conf`	VITED: Video Temporal Evidence Distillation. CVPR Yujie Lu, Yale Song, William Wang, Lorenzo Torresani, Tushar Nagarajan
2025	J	`jnl`	VITED: Video Temporal Evidence Distillation. CoRR Yujie Lu, Yale Song, William Wang, Lorenzo Torresani, Tushar Nagarajan
2024	—	`conf`	4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation. ECCV (24) Feng Cheng, Mi Luo, Huiyu Wang, Alex Dimakis, Lorenzo Torresani, Gedas Bertasius, Kristen Grauman
2024	A*	`conf`	Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob J. Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray
2024	A*	`conf`	Learning to Segment Referred Objects from Narrated Egocentric Videos. CVPR Yuhan Shen, Huiyu Wang, Xitong Yang, Matt Feiszli, Ehsan Elhamifar, Lorenzo Torresani, Effrosyni Mavroudi
2024	—	`conf`	Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CVPR Workshops Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran
2024	J	`jnl`	Semantic Compositions Enhance Vision-Language Contrastive Learning. CoRR Maxwell Mbabilla Aladago, Lorenzo Torresani, Soroush Vosoughi
2024	A*	`conf`	Step Differences in Instructional Video. CVPR Tushar Nagarajan, Lorenzo Torresani
2024	J	`jnl`	Step Differences in Instructional Video. CoRR Tushar Nagarajan, Lorenzo Torresani
2024	J	`jnl`	TimeRefine: Temporal Grounding with Time Refining Video LLM. CoRR Xizi Wang, Feng Cheng, Ziyang Wang, Huiyu Wang, Md Mohaiminul Islam, Lorenzo Torresani, Mohit Bansal, Gedas Bertasius, David J. Crandall
2024	A*	`conf`	UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei
2024	A*	`conf`	Video ReCap: Recursive Captioning of Hour-Long Videos. CVPR Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius
2024	J	`jnl`	Video ReCap: Recursive Captioning of Hour-Long Videos. CoRR Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius
2023	J	`jnl`	Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.
2023	J	`jnl`	Ego-Only: Egocentric Action Detection without Exocentric Pretraining. CoRR Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani
2023	A*	`conf`	Ego-Only: Egocentric Action Detection without Exocentric Transferring. ICCV Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani
2023	A*	`conf`	Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities. NeurIPS Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani
2023	J	`jnl`	Egocentric Video Task Translation @ Ego4D Challenge 2022. CoRR Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani
2023	A*	`conf`	Egocentric Video Task Translation. CVPR Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani
2023	A*	`conf`	HT-Step: Aligning Instructional Articles with How-To Videos. NeurIPS Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan, Huiyu Wang, Lorenzo Torresani
2023	A*	`conf`	HierVL: Learning Hierarchical Video-Language Embeddings. CVPR Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
2023	J	`jnl`	HierVL: Learning Hierarchical Video-Language Embeddings. CoRR Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
2023	A*	`conf`	Learning to Ground Instructional Articles in Videos through Narrations. ICCV Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani
2023	J	`jnl`	Learning to Ground Instructional Articles in Videos through Narrations. CoRR Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani
2023	J	`jnl`	MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran
2023	J	`jnl`	Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani
2023	J	`jnl`	Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CoRR Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran
2023	A*	`conf`	Relational Space-Time Query in Long-Form Videos. CVPR Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran
2023	J	`jnl`	What You Say Is What You Show: Visual Narration Detection in Instructional Videos. CoRR Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
2022	B	`conf`	Calibrating Histopathology Image Classifiers Using Label Smoothing. AIME Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2022	J	`jnl`	Calibrating Histopathology Image Classifiers using Label Smoothing. CoRR Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2022	A*	`conf`	Deformable Video Transformer. CVPR Jue Wang, Lorenzo Torresani
2022	J	`jnl`	Deformable Video Transformer. CoRR Jue Wang, Lorenzo Torresani
2022	A*	`conf`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 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 K. 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
2022	J	`jnl`	Egocentric Video Task Translation. CoRR Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani
2022	J	`jnl`	Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. IEEE Trans. Pattern Anal. Mach. Intell. Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata
2022	J	`jnl`	HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations. CoRR Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
2022	A*	`conf`	Label Hallucination for Few-Shot Classification. AAAI Yiren Jian, Lorenzo Torresani
2022	A*	`conf`	Learning To Recognize Procedural Activities with Distant Supervision. CVPR Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
2022	J	`jnl`	Learning To Recognize Procedural Activities with Distant Supervision. CoRR Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
2022	A*	`conf`	Long-Short Temporal Contrastive Learning of Video Transformers. CVPR Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani
2021	J	`jnl`	A Multi-View Approach To Audio-Visual Speaker Verification. CoRR Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf
2021	Misc	`conf`	A Multi-View Approach to Audio-Visual Speaker Verification. ICASSP Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf
2021	B	`conf`	A Petri Dish for Histopathology Image Analysis. AIME Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021	J	`jnl`	A Petri Dish for Histopathology Image Analysis. CoRR Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021	A*	`conf`	Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories. CVPR Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang
2021	J	`jnl`	Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. CoRR Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang
2021	J	`jnl`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR 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 K. 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
2021	A*	`conf`	Is Space-Time Attention All You Need for Video Understanding? ICML Gedas Bertasius, Heng Wang, Lorenzo Torresani
2021	J	`jnl`	Is Space-Time Attention All You Need for Video Understanding? CoRR Gedas Bertasius, Heng Wang, Lorenzo Torresani
2021	J	`jnl`	Label Hallucination for Few-Shot Classification. CoRR Yiren Jian, Lorenzo Torresani
2021	A	`conf`	Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. WACV Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021	J	`jnl`	Long-Short Temporal Contrastive Learning of Video Transformers. CoRR Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani
2021	A	`conf`	Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. WACV Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
2021	J	`jnl`	Resolution-Based Distillation for Efficient Histology Image Classification. CoRR Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
2021	J	`jnl`	Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
2021	A*	`conf`	Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks. ICML Maxwell Mbabilla Aladago, Lorenzo Torresani
2021	J	`jnl`	Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks. CoRR Maxwell Mbabilla Aladago, Lorenzo Torresani
2021	A	`conf`	Supervoxel Attention Graphs for Long-Range Video Modeling. WACV Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani
2021	J	`jnl`	VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. CoRR Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani
2021	A*	`conf`	Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. CVPR Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani
2020	A	`conf`	Attentive Action and Context Factorization. BMVC Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai Nguyen
2020	A*	`conf`	COBE: Contextualized Object Embeddings from Narrated Instructional Video. NeurIPS Gedas Bertasius, Lorenzo Torresani
2020	J	`jnl`	COBE: Contextualized Object Embeddings from Narrated Instructional Video. CoRR Gedas Bertasius, Lorenzo Torresani
2020	A*	`conf`	Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. CVPR Gedas Bertasius, Lorenzo Torresani
2020	—	`conf`	Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
2020	J	`jnl`	Generalized Many-Way Few-Shot Video Classification. CoRR Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
2020	J	`jnl`	Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. CoRR Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2020	A*	`conf`	Listen to Look: Action Recognition by Previewing Audio. CVPR Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
2020	A*	`conf`	Self-Supervised Learning by Cross-Modal Audio-Video Clustering. NeurIPS Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran
2020	A	`conf`	Stein Variational Inference for Discrete Distributions. AISTATS Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
2020	J	`jnl`	Stein Variational Inference for Discrete Distributions. CoRR Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
2020	A*	`conf`	Video Modeling With Correlation Networks. CVPR Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
2019	J	`jnl`	Attentive Action and Context Factorization. CoRR Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai
2019	J	`jnl`	Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. CoRR Gedas Bertasius, Lorenzo Torresani
2019	A*	`conf`	DistInit: Learning Video Representations Without a Single Labeled Video. ICCV Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan
2019	J	`jnl`	DistInit: Learning Video Representations without a Single Labeled Video. CoRR Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan
2019	A*	`conf`	HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. ICCV Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan
2019	A*	`conf`	Learning Temporal Pose Estimation from Sparsely-Labeled Videos. NeurIPS Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
2019	J	`jnl`	Learning Temporal Pose Estimation from Sparsely-Labeled Videos. CoRR Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
2019	—	`conf`	Leveraging the Present to Anticipate the Future in Videos. CVPR Workshops Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran
2019	J	`jnl`	Listen to Look: Action Recognition by Previewing Audio. CoRR Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
2019	J	`jnl`	Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
2019	A*	`conf`	SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition. ICCV Bruno Korbar, Du Tran, Lorenzo Torresani
2019	J	`jnl`	SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition. CoRR Bruno Korbar, Du Tran, Lorenzo Torresani
2019	A*	`conf`	STAR-Caps: Capsule Networks with Straight-Through Attentive Routing. NeurIPS Karim Ahmed, Lorenzo Torresani
2019	J	`jnl`	Self-Supervised Learning by Cross-Modal Audio-Video Clustering. CoRR Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran
2019	—	`conf`	Semantic Segmentation of the Growth Stages of Plasmodium Parasites using Convolutional Neural Networks. AFRICON Maxwell Mbabilla Aladago, Lorenzo Torresani, Elena V. Rosca
2019	J	`jnl`	UniDual: A Unified Model for Image and Video Understanding. CoRR Yufei Wang, Du Tran, Lorenzo Torresani
2019	A*	`conf`	Video Classification With Channel-Separated Convolutional Networks. ICCV Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani
2019	J	`jnl`	Video Classification with Channel-Separated Convolutional Networks. CoRR Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli
2019	J	`jnl`	Video Modeling with Correlation Networks. CoRR Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
2018	A*	`conf`	A Closer Look at Spatiotemporal Convolutions for Action Recognition. CVPR Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
2018	A	`conf`	BranchConnect: Image Categorization with Learned Branch Connections. WACV Karim Ahmed, Lorenzo Torresani
2018	J	`jnl`	Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. CoRR Bruno Korbar, Du Tran, Lorenzo Torresani
2018	—	`conf`	Computer Vision in DH. DH Lauren Tilton, Taylor B. Arnold, Thomas Smits, Melvin Wevers, Mark Williams, Lorenzo Torresani, Maksim Bolonkin, John Bell, Dimitrios Latsis
2018	A*	`conf`	Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. NeurIPS Bruno Korbar, Du Tran, Lorenzo Torresani
2018	A*	`conf`	Detect-and-Track: Efficient Pose Estimation in Videos. CVPR Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran
2018	J	`jnl`	Learning Discriminative Motion Features Through Detection. CoRR Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
2018	—	`conf`	MaskConnect: Connectivity Learning by Gradient Descent. ECCV (5) Karim Ahmed, Lorenzo Torresani
2018	J	`jnl`	MaskConnect: Connectivity Learning by Gradient Descent. CoRR Karim Ahmed, Lorenzo Torresani
2018	—	`conf`	Object Detection in Video with Spatiotemporal Sampling Networks. ECCV (12) Gedas Bertasius, Lorenzo Torresani, Jianbo Shi
2018	J	`jnl`	Object Detection in Video with Spatiotemporal Sampling Networks. CoRR Gedas Bertasius, Lorenzo Torresani, Jianbo Shi
2018	—	`conf`	Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset. ECCV (14) Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri
2018	A	`conf`	Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery. BMVC Suriya Singh, Anil Batra, Guan Pang, Lorenzo Torresani, Saikat Basu, Manohar Paluri, C. V. Jawahar
2018	A*	`conf`	What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles
2017	J	`jnl`	A Closer Look at Spatiotemporal Convolutions for Action Recognition. CoRR Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
2017	J	`jnl`	BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections. CoRR Karim Ahmed, Lorenzo Torresani
2017	J	`jnl`	Connectivity Learning in Multi-Branch Networks. CoRR Karim Ahmed, Lorenzo Torresani
2017	A*	`conf`	Convolutional Random Walk Networks for Semantic Image Segmentation. CVPR Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi
2017	—	`conf`	Deciphering Severely Degraded License Plates. Media Watermarking, Security, and Forensics Shruti Agarwal, Du Tran, Lorenzo Torresani, Hany Farid
2017	J	`jnl`	Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. CoRR Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour
2017	J	`jnl`	Detect-and-Track: Efficient Pose Estimation in Videos. CoRR Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran
2017	—	`conf`	Learning to Inpaint for Image Compression. NIPS Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
2017	J	`jnl`	Learning to Inpaint for Image Compression. CoRR Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
2017	A	`conf`	Local Perturb-and-MAP for Structured Prediction. AISTATS Gedas Bertasius, Qiang Liu, Lorenzo Torresani, Jianbo Shi
2017	—	`conf`	Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. CVPR Workshops Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour
2017	J	`jnl`	Multiple hypothesis colorization and its application to image compression. Comput. Vis. Image Underst. Mohammad Haris Baig, Lorenzo Torresani
2017	—	`conf`	Recurrent Mixture Density Network for Spatiotemporal Visual Attention. ICLR (Poster) Loris Bazzani, Hugo Larochelle, Lorenzo Torresani
2017	J	`jnl`	SLAC: A Sparsely Labeled Dataset for Action Classification and Localization. CoRR Hang Zhao, Zhicheng Yan, Heng Wang, Lorenzo Torresani, Antonio Torralba
2016	J	`jnl`	Colorization for Image Compression. CoRR Mohammad Haris Baig, Lorenzo Torresani
2016	J	`jnl`	Convolutional Random Walk Networks for Semantic Image Segmentation. CoRR Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi
2016	A	`conf`	Coupled depth learning. WACV Mohammad Haris Baig, Lorenzo Torresani
2016	—	`conf`	Deep End2End Voxel2Voxel Prediction. CVPR Workshops Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2016	J	`jnl`	EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis. Int. J. Comput. Vis. Du Tran, Lorenzo Torresani
2016	J	`jnl`	Local Perturb-and-MAP for Structured Prediction. CoRR Gedas Bertasius, Qiang Liu, Lorenzo Torresani, Jianbo Shi
2016	—	`conf`	Network of Experts for Large-Scale Image Categorization. ECCV (7) Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani
2016	J	`jnl`	Network of Experts for Large-Scale Image Categorization. CoRR Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani
2016	J	`jnl`	Recurrent Mixture Density Network for Spatiotemporal Visual Attention. CoRR Loris Bazzani, Hugo Larochelle, Lorenzo Torresani
2016	A	`conf`	Self-taught object localization with deep networks. WACV Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov, Lorenzo Torresani
2016	A*	`conf`	Semantic Segmentation with Boundary Neural Fields. CVPR Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2016	J	`jnl`	ViCom: Benchmark and Methods for Video Comprehension. CoRR Du Tran, Manohar Paluri, Lorenzo Torresani
2015	J	`jnl`	Coarse-to-fine Depth Estimation from a Single Image via Coupled Regression and Dictionary Learning. CoRR Mohammad Haris Baig, Lorenzo Torresani
2015	J	`jnl`	Deep End2End Voxel2Voxel Prediction. CoRR Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2015	A*	`conf`	DeepEdge: A multi-scale bifurcated deep network for top-down contour detection. CVPR Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2015	A*	`conf`	High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision. ICCV Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2015	J	`jnl`	High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision. CoRR Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2015	A*	`conf`	Learning Spatiotemporal Features with 3D Convolutional Networks. ICCV Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2015	J	`jnl`	Semantic Segmentation with Boundary Neural Fields. CoRR Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2015	J	`jnl`	What Can Pictures Tell Us About Web Pages? Improving Document Search Using Images. IEEE Trans. Pattern Anal. Mach. Intell. Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Andrew W. Fitzgibbon
2014	A	`conf`	AutoCaption: Automatic caption generation for personal photos. WACV Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz Ahmad El-Saban, Sudipta N. Sinha, Anitha Kannan, Noran Hassan, Michel Galley, Yi Yang, Deva Ramanan, Alessandro Bergamo, Lorenzo Torresani
2014	J	`jnl`	C3D: Generic Features for Video Analysis. CoRR Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2014	J	`jnl`	Classemes and Other Classifier-Based Features for Efficient Object Categorization. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Bergamo, Lorenzo Torresani
2014	—	`ch.`	Classemes: A Compact Image Descriptor for Efficient Novel-Class Recognition and Search. Registration and Recognition in Images and Videos Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon
2014	J	`jnl`	DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection. CoRR Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2014	—	`conf`	EXMOVES: Classifier-based Features for Scalable Action Recognition. ICLR (Poster) Du Tran, Lorenzo Torresani
2014	C	`conf`	Improving tag transfer for image annotation using visual and semantic information. CBMI Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Koldo Espinosa, Estíbaliz Garrote
2014	J	`jnl`	Learning discriminative localization from weakly labeled data. Pattern Recognit. Minh Hoai Nguyen, Lorenzo Torresani, Fernando De la Torre, Carsten Rother
2014	J	`jnl`	Learning what is where from unlabeled images: joint localization and clustering of foreground objects. Mach. Learn. Ashok Chandrashekar, Lorenzo Torresani, Richard Granger
2014	J	`jnl`	Self-taught Object Localization with Deep Networks. CoRR Alessandro Bergamo, Loris Bazzani, Dragomir Anguelov, Lorenzo Torresani
2014	—	`ch.`	Weakly Supervised Learning. Computer Vision, A Reference Guide Lorenzo Torresani
2013	J	`jnl`	A Dual Decomposition Approach to Feature Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother
2013	A	`conf`	CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Martha Montes-de-Oca, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell
2013	A	`conf`	CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Martha Montes-de-Oca, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell
2013	A*	`conf`	Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification. CVPR Alessandro Bergamo, Sudipta N. Sinha, Lorenzo Torresani
2013	A*	`conf`	What can pictures tell us about web pages?: improving document search using images. SIGIR Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Andrew W. Fitzgibbon
2012	Misc	`conf`	CarSafe demo: supporting driver safety using dual-cameras on smartphones. UbiComp Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell
2012	Misc	`conf`	CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones. UbiComp Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell
2012	—	`conf`	Measuring Image Distances via Embedding in a Semantic Manifold. ECCV (4) Chen Fang, Lorenzo Torresani
2012	A*	`conf`	Meta-class features for large-scale object categorization on a budget. CVPR Alessandro Bergamo, Lorenzo Torresani
2012	Misc	`conf`	WalkSafe: a pedestrian safety app for mobile phone users who walk and talk while crossing roads. HotMobile Tianyu Wang, Giuseppe Cardone, Antonio Corradi, Lorenzo Torresani, Andrew T. Campbell
2011	—	`conf`	PiCoDes: Learning a Compact Code for Novel-Category Recognition. NIPS Alessandro Bergamo, Lorenzo Torresani, Andrew W. Fitzgibbon
2011	A*	`conf`	Scalable object-class retrieval with approximate and top-k ranking. ICCV Mohammad Rastegari, Chen Fang, Lorenzo Torresani
2010	—	`conf`	Efficient Object Category Recognition Using Classemes. ECCV (1) Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon
2010	—	`conf`	Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach. NIPS Alessandro Bergamo, Lorenzo Torresani
2010	A*	`conf`	Simultaneous point matching and 3D deformable surface reconstruction. CVPR Appu Shaji, Aydin Varol, Lorenzo Torresani, Pascal Fua
2009	A*	`conf`	Learning query-dependent prefilters for scalable image retrieval. CVPR Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon
2009	A*	`conf`	Unsupervised hierarchical modeling of locomotion styles. ICML Wei Pan, Lorenzo Torresani
2009	A*	`conf`	Weakly supervised discriminative localization and classification: a joint learning process. ICCV Minh Hoai Nguyen, Lorenzo Torresani, Lorenzo de la Torre, Carsten Rother
2008	—	`conf`	Feature Correspondence Via Graph Matching: Models and Global Optimization. ECCV (2) Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother
2008	J	`jnl`	Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors. IEEE Trans. Pattern Anal. Mach. Intell. Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler
2006	—	`conf`	Large Margin Component Analysis. NIPS Lorenzo Torresani, Kuang-Chih Lee
2006	—	`conf`	Learning Motion Style Synthesis from Perceptual Observations. NIPS Lorenzo Torresani, Peggy Hackney, Christoph Bregler
2005	—	`—`	Learning models of human movement from video. Lorenzo Torresani
2004	—	`conf`	Automatic Non-rigid 3D Modeling from Video. ECCV (2) Lorenzo Torresani, Aaron Hertzmann
2003	—	`conf`	Learning Non-Rigid 3D Shape from 2D Motion. NIPS Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler
2002	—	`conf`	Space-Time Tracking. ECCV (1) Lorenzo Torresani, Christoph Bregler
2001	—	`conf`	Tracking and Modeling Non-Rigid Objects with Rank Constraints. CVPR (1) Lorenzo Torresani, Danny B. Yang, Eugene J. Alexander, Christoph Bregler
1997	—	`conf`	Analysis and Encoding of Lip Movements. AVBPA Tarcisio Coianiz, Lorenzo Torresani