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ORCIDLorenzo Torresani
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- affiliation: Facebook AI Research, Meta, USA
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2020 – today
- 2024
[c97]Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran:
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CVPR Workshops 2024: 2693-2703- [c96]Yuhan Shen, Huiyu Wang, Xitong Yang, Matt Feiszli, Ehsan Elhamifar, Lorenzo Torresani, Effrosyni Mavroudi:
Learning to Segment Referred Objects from Narrated Egocentric Videos. CVPR 2024: 14510-14520 - [c95]Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius:
Video ReCap: Recursive Captioning of Hour-Long Videos. CVPR 2024: 18198-18208 - [c94]Tushar Nagarajan, Lorenzo Torresani:
Step Differences in Instructional Video. CVPR 2024: 18740-18750 - [c93]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 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 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:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400 - [c92]Feng Cheng, Mi Luo, Huiyu Wang, Alex Dimakis, Lorenzo Torresani, Gedas Bertasius, Kristen Grauman:
4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation. ECCV (24) 2024: 409-427 - [c91]Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei:
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP 2024: 12983-12997 - [i66]Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius:
Video ReCap: Recursive Captioning of Hour-Long Videos. CoRR abs/2402.13250 (2024) - [i65]Tushar Nagarajan, Lorenzo Torresani:
Step Differences in Instructional Video. CoRR abs/2404.16222 (2024) - [i64]Maxwell Mbabilla Aladago, Lorenzo Torresani, Soroush Vosoughi:
Semantic Compositions Enhance Vision-Language Contrastive Learning. CoRR abs/2407.01408 (2024) - 2023
- [c90]Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation. CVPR 2023: 2310-2320 - [c89]Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran:
Relational Space-Time Query in Long-Form Videos. CVPR 2023: 6398-6408 - [c88]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CVPR 2023: 23066-23078 - [c87]Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani:
Ego-Only: Egocentric Action Detection without Exocentric Transferring. ICCV 2023: 5227-5238 - [c86]Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani:
Learning to Ground Instructional Articles in Videos through Narrations. ICCV 2023: 15155-15167 - [c85]Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan, Huiyu Wang, Lorenzo Torresani:
HT-Step: Aligning Instructional Articles with How-To Videos. NeurIPS 2023 - [c84]Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani:
Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities. NeurIPS 2023 - [i63]Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani:
Ego-Only: Egocentric Action Detection without Exocentric Pretraining. CoRR abs/2301.01380 (2023) - [i62]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
What You Say Is What You Show: Visual Narration Detection in Instructional Videos. CoRR abs/2301.02307 (2023) - [i61]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CoRR abs/2301.02311 (2023) - [i60]Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation @ Ego4D Challenge 2022. CoRR abs/2302.01891 (2023) - [i59]Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran:
MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR abs/2302.08063 (2023) - [i58]Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran:
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CoRR abs/2303.05503 (2023) - [i57]Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani:
Learning to Ground Instructional Articles in Videos through Narrations. CoRR abs/2306.03802 (2023) - [i56]Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani:
Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR abs/2307.12854 (2023) - [i55]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.:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR abs/2311.18259 (2023) - 2022
- [j10]Yongqin Xian
, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata:
Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8949-8961 (2022) - [c83]Yiren Jian, Lorenzo Torresani:
Label Hallucination for Few-Shot Classification. AAAI 2022: 7005-7014 - [c82]Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Calibrating Histopathology Image Classifiers Using Label Smoothing. AIME 2022: 273-282 - [c81]Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani:
Learning To Recognize Procedural Activities with Distant Supervision. CVPR 2022: 13843-13853 - [c80]Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani:
Long-Short Temporal Contrastive Learning of Video Transformers. CVPR 2022: 13990-14000 - [c79]Jue Wang, Lorenzo Torresani:
Deformable Video Transformer. CVPR 2022: 14033-14042 - [c78]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 - [i54]Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani:
Learning To Recognize Procedural Activities with Distant Supervision. CoRR abs/2201.10990 (2022) - [i53]Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Calibrating Histopathology Image Classifiers using Label Smoothing. CoRR abs/2201.11866 (2022) - [i52]Jue Wang, Lorenzo Torresani:
Deformable Video Transformer. CoRR abs/2203.16795 (2022) - [i51]Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour:
HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations. CoRR abs/2209.06185 (2022) - [i50]Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation. CoRR abs/2212.06301 (2022) - 2021
- [j9]Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour:
Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine 119: 102136 (2021) - [c77]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:
A Petri Dish for Histopathology Image Analysis. AIME 2021: 11-24 - [c76]Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani:
Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. CVPR 2021: 7005-7015 - [c75]Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories. CVPR 2021: 7567-7576 - [c74]Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf:
A Multi-View Approach to Audio-Visual Speaker Verification. ICASSP 2021: 6194-6198 - [c73]Maxwell Mbabilla Aladago, Lorenzo Torresani:
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks. ICML 2021: 163-174 - [c72]Gedas Bertasius, Heng Wang, Lorenzo Torresani:
Is Space-Time Attention All You Need for Video Understanding? ICML 2021: 813-824 - [c71]Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani:
Supervoxel Attention Graphs for Long-Range Video Modeling. WACV 2021: 155-166 - [c70]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. WACV 2021: 535-544 - [c69]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:
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. WACV 2021: 2472-2482 - [i49]Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour:
Resolution-Based Distillation for Efficient Histology Image Classification. CoRR abs/2101.04170 (2021) - [i48]Maxwell Mbabilla Aladago, Lorenzo Torresani:
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks. CoRR abs/2101.06475 (2021) - [i47]Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani:
VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. CoRR abs/2101.12059 (2021) - [i46]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:
A Petri Dish for Histopathology Image Analysis. CoRR abs/2101.12355 (2021) - [i45]Gedas Bertasius, Heng Wang, Lorenzo Torresani:
Is Space-Time Attention All You Need for Video Understanding? CoRR abs/2102.05095 (2021) - [i44]Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf:
A Multi-View Approach To Audio-Visual Speaker Verification. CoRR abs/2102.06291 (2021) - [i43]Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. CoRR abs/2104.01198 (2021) - [i42]Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani:
Long-Short Temporal Contrastive Learning of Video Transformers. CoRR abs/2106.09212 (2021) - [i41]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) - [i40]Yiren Jian, Lorenzo Torresani:
Label Hallucination for Few-Shot Classification. CoRR abs/2112.03340 (2021) - 2020
- [c68]Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu:
Stein Variational Inference for Discrete Distributions. AISTATS 2020: 4563-4572 - [c67]Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai Nguyen:
Attentive Action and Context Factorization. BMVC 2020 - [c66]Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli:
Video Modeling With Correlation Networks. CVPR 2020: 349-358 - [c65]Gedas Bertasius, Lorenzo Torresani:
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. CVPR 2020: 9736-9745 - [c64]Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. CVPR 2020: 10454-10464 - [c63]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) 2020: 111-127 - [c62]Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran:
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. NeurIPS 2020 - [c61]Gedas Bertasius, Lorenzo Torresani:
COBE: Contextualized Object Embeddings from Narrated Instructional Video. NeurIPS 2020 - [i39]Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu:
Stein Variational Inference for Discrete Distributions. CoRR abs/2003.00605 (2020) - [i38]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. CoRR abs/2007.04755 (2020) - [i37]Gedas Bertasius, Lorenzo Torresani:
COBE: Contextualized Object Embeddings from Narrated Instructional Video. CoRR abs/2007.07306 (2020) - [i36]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:
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. CoRR abs/2009.13698 (2020)
2010 – 2019
- 2019
- [c60]Maxwell Mbabilla Aladago, Lorenzo Torresani, Elena V. Rosca:
Semantic Segmentation of the Growth Stages of Plasmodium Parasites using Convolutional Neural Networks. AFRICON 2019: 1-7 - [c59]Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran:
Leveraging the Present to Anticipate the Future in Videos. CVPR Workshops 2019: 2915-2922 - [c58]Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan:
DistInit: Learning Video Representations Without a Single Labeled Video. ICCV 2019: 852-861 - [c57]Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani:
Video Classification With Channel-Separated Convolutional Networks. ICCV 2019: 5551-5560 - [c56]Bruno Korbar, Du Tran, Lorenzo Torresani:
SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition. ICCV 2019: 6231-6241 - [c55]Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan:
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. ICCV 2019: 8667-8677 - [c54]Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. NeurIPS 2019: 3021-3032 - [c53]Karim Ahmed, Lorenzo Torresani:
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing. NeurIPS 2019: 9098-9107 - [i35]Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan:
DistInit: Learning Video Representations without a Single Labeled Video. CoRR abs/1901.09244 (2019) - [i34]Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli:
Video Classification with Channel-Separated Convolutional Networks. CoRR abs/1904.02811 (2019) - [i33]Bruno Korbar, Du Tran, Lorenzo Torresani:
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition. CoRR abs/1904.04289 (2019) - [i32]Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai:
Attentive Action and Context Factorization. CoRR abs/1904.05410 (2019) - [i31]Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli:
Video Modeling with Correlation Networks. CoRR abs/1906.03349 (2019) - [i30]Yufei Wang, Du Tran, Lorenzo Torresani:
UniDual: A Unified Model for Image and Video Understanding. CoRR abs/1906.03857 (2019) - [i29]Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. CoRR abs/1906.04016 (2019) - [i28]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR abs/1907.08340 (2019) - [i27]Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran:
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. CoRR abs/1911.12667 (2019) - [i26]Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. CoRR abs/1912.04487 (2019) - [i25]Gedas Bertasius, Lorenzo Torresani:
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. CoRR abs/1912.04573 (2019) - 2018
- [c52]Suriya Singh, Anil Batra, Guan Pang, Lorenzo Torresani, Saikat Basu, Manohar Paluri, C. V. Jawahar:
Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery. BMVC 2018: 102 - [c51]Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. CVPR 2018: 350-359 - [c50]Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri:
A Closer Look at Spatiotemporal Convolutions for Action Recognition. CVPR 2018: 6450-6459 - [c49]De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles:
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR 2018: 7366-7375 - [c48]Lauren Tilton, Taylor B. Arnold, Thomas Smits, Melvin Wevers, Mark Williams, Lorenzo Torresani, Maksim Bolonkin, John Bell, Dimitrios Latsis:
Computer Vision in DH. DH 2018: 129-131 - [c47]Gedas Bertasius, Lorenzo Torresani, Jianbo Shi:
Object Detection in Video with Spatiotemporal Sampling Networks. ECCV (12) 2018: 342-357 - [c46]Karim Ahmed, Lorenzo Torresani:
MaskConnect: Connectivity Learning by Gradient Descent. ECCV (5) 2018: 362-378 - [c45]Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri:
Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset. ECCV (14) 2018: 660-676 - [c44]Bruno Korbar, Du Tran, Lorenzo Torresani:
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. NeurIPS 2018: 7774-7785 - [c43]Karim Ahmed, Lorenzo Torresani:
BranchConnect: Image Categorization with Learned Branch Connections. WACV 2018: 1244-1253 - [i24]Gedas Bertasius, Lorenzo Torresani, Jianbo Shi:
Object Detection in Video with Spatiotemporal Sampling Networks. CoRR abs/1803.05549 (2018) - [i23]Bruno Korbar, Du Tran, Lorenzo Torresani:
Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. CoRR abs/1807.00230 (2018) - [i22]Karim Ahmed, Lorenzo Torresani:
MaskConnect: Connectivity Learning by Gradient Descent. CoRR abs/1807.11473 (2018) - [i21]Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Discriminative Motion Features Through Detection. CoRR abs/1812.04172 (2018) - 2017
- [j8]Mohammad Haris Baig, Lorenzo Torresani:
Multiple hypothesis colorization and its application to image compression. Comput. Vis. Image Underst. 164: 111-123 (2017) - [c42]Gedas Bertasius, Qiang Liu, Lorenzo Torresani, Jianbo Shi:
Local Perturb-and-MAP for Structured Prediction. AISTATS 2017: 585-594 - [c41]Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour:
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. CVPR Workshops 2017: 821-827 - [c40]Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. CVPR 2017: 6137-6145 - [c39]Loris Bazzani, Hugo Larochelle, Lorenzo Torresani:
Recurrent Mixture Density Network for Spatiotemporal Visual Attention. ICLR (Poster) 2017 - [c38]Shruti Agarwal, Du Tran, Lorenzo Torresani, Hany Farid:
Deciphering Severely Degraded License Plates. Media Watermarking, Security, and Forensics 2017: 138-143 - [c37]Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani:
Learning to Inpaint for Image Compression. NIPS 2017: 1246-1255 - [i20]Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour:
Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. CoRR abs/1703.01550 (2017) - [i19]Karim Ahmed, Lorenzo Torresani:
BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections. CoRR abs/1704.06010 (2017) - [i18]Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani:
Learning to Inpaint for Image Compression. CoRR abs/1709.08855 (2017) - [i17]Karim Ahmed, Lorenzo Torresani:
Connectivity Learning in Multi-Branch Networks. CoRR abs/1709.09582 (2017) - [i16]Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri:
A Closer Look at Spatiotemporal Convolutions for Action Recognition. CoRR abs/1711.11248 (2017) - [i15]Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. CoRR abs/1712.09184 (2017) - [i14]Hang Zhao, Zhicheng Yan, Heng Wang, Lorenzo Torresani, Antonio Torralba:
SLAC: A Sparsely Labeled Dataset for Action Classification and Localization. CoRR abs/1712.09374 (2017) - 2016
- [j7]Du Tran, Lorenzo Torresani:
EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis. Int. J. Comput. Vis. 119(3): 239-253 (2016) - [c36]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
Deep End2End Voxel2Voxel Prediction. CVPR Workshops 2016: 402-409 - [c35]Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
Semantic Segmentation with Boundary Neural Fields. CVPR 2016: 3602-3610 - [c34]Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani:
Network of Experts for Large-Scale Image Categorization. ECCV (7) 2016: 516-532 - [c33]Mohammad Haris Baig, Lorenzo Torresani:
Coupled depth learning. WACV 2016: 1-10 - [c32]Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov, Lorenzo Torresani:
Self-taught object localization with deep networks. WACV 2016: 1-9 - [i13]Loris Bazzani, Hugo Larochelle, Lorenzo Torresani:
Recurrent Mixture Density Network for Spatiotemporal Visual Attention. CoRR abs/1603.08199 (2016) - [i12]Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani:
Network of Experts for Large-Scale Image Categorization. CoRR abs/1604.06119 (2016) - [i11]Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. CoRR abs/1605.07681 (2016) - [i10]Gedas Bertasius, Qiang Liu, Lorenzo Torresani, Jianbo Shi:
Local Perturb-and-MAP for Structured Prediction. CoRR abs/1605.07686 (2016) - [i9]Mohammad Haris Baig, Lorenzo Torresani:
Colorization for Image Compression. CoRR abs/1606.06314 (2016) - [i8]Du Tran, Manohar Paluri, Lorenzo Torresani:
ViCom: Benchmark and Methods for Video Comprehension. CoRR abs/1606.07373 (2016) - 2015
- [j6]Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Andrew W. Fitzgibbon:
What Can Pictures Tell Us About Web Pages? Improving Document Search Using Images. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1274-1285 (2015) - [c31]Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
DeepEdge: A multi-scale bifurcated deep network for top-down contour detection. CVPR 2015: 4380-4389 - [c30]Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision. ICCV 2015: 504-512 - [c29]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
Learning Spatiotemporal Features with 3D Convolutional Networks. ICCV 2015: 4489-4497 - [i7]Mohammad Haris Baig, Lorenzo Torresani:
Coarse-to-fine Depth Estimation from a Single Image via Coupled Regression and Dictionary Learning. CoRR abs/1501.04537 (2015) - [i6]Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision. CoRR abs/1504.06201 (2015) - [i5]Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
Semantic Segmentation with Boundary Neural Fields. CoRR abs/1511.02674 (2015) - [i4]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
Deep End2End Voxel2Voxel Prediction. CoRR abs/1511.06681 (2015) - 2014
- [j5]Ashok Chandrashekar, Lorenzo Torresani, Richard Granger:
Learning what is where from unlabeled images: joint localization and clustering of foreground objects. Mach. Learn. 94(2): 261-279 (2014) - [j4]Alessandro Bergamo, Lorenzo Torresani:
Classemes and Other Classifier-Based Features for Efficient Object Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 1988-2001 (2014) - [j3]Minh Hoai Nguyen, Lorenzo Torresani, Fernando De la Torre, Carsten Rother:
Learning discriminative localization from weakly labeled data. Pattern Recognit. 47(3): 1523-1534 (2014) - [c28]Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Koldo Espinosa, Estíbaliz Garrote:
Improving tag transfer for image annotation using visual and semantic information. CBMI 2014: 1-4 - [c27]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:
AutoCaption: Automatic caption generation for personal photos. WACV 2014: 1050-1057 - [c26]Du Tran, Lorenzo Torresani:
EXMOVES: Classifier-based Features for Scalable Action Recognition. ICLR (Poster) 2014 - [p1]Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon:
Classemes: A Compact Image Descriptor for Efficient Novel-Class Recognition and Search. Registration and Recognition in Images and Videos 2014: 95-111 - [r1]Lorenzo Torresani:
Weakly Supervised Learning. Computer Vision, A Reference Guide 2014: 883-885 - [i3]Alessandro Bergamo, Loris Bazzani, Dragomir Anguelov, Lorenzo Torresani:
Self-taught Object Localization with Deep Networks. CoRR abs/1409.3964 (2014) - [i2]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
C3D: Generic Features for Video Analysis. CoRR abs/1412.0767 (2014) - [i1]Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection. CoRR abs/1412.1123 (2014) - 2013
- [j2]Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother:
A Dual Decomposition Approach to Feature Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 259-271 (2013) - [c25]Alessandro Bergamo, Sudipta N. Sinha, Lorenzo Torresani:
Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification. CVPR 2013: 763-770 - [c24]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:
CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys 2013: 13-26 - [c23]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:
CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys 2013: 461-462 - [c22]Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Andrew W. Fitzgibbon:
What can pictures tell us about web pages?: improving document search using images. SIGIR 2013: 849-852 - 2012
- [c21]Alessandro Bergamo, Lorenzo Torresani:
Meta-class features for large-scale object categorization on a budget. CVPR 2012: 3085-3092 - [c20]Chen Fang, Lorenzo Torresani:
Measuring Image Distances via Embedding in a Semantic Manifold. ECCV (4) 2012: 402-415 - [c19]Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell:
CarSafe demo: supporting driver safety using dual-cameras on smartphones. UbiComp 2012: 547 - [c18]Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell:
CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones. UbiComp 2012: 671-672 - [c17]Tianyu Wang, Giuseppe Cardone, Antonio Corradi, Lorenzo Torresani, Andrew T. Campbell:
WalkSafe: a pedestrian safety app for mobile phone users who walk and talk while crossing roads. HotMobile 2012: 5 - 2011
- [c16]Mohammad Rastegari, Chen Fang, Lorenzo Torresani:
Scalable object-class retrieval with approximate and top-k ranking. ICCV 2011: 2659-2666 - [c15]Alessandro Bergamo, Lorenzo Torresani, Andrew W. Fitzgibbon:
PiCoDes: Learning a Compact Code for Novel-Category Recognition. NIPS 2011: 2088-2096 - 2010
- [c14]Appu Shaji, Aydin Varol, Lorenzo Torresani, Pascal Fua:
Simultaneous point matching and 3D deformable surface reconstruction. CVPR 2010: 1221-1228 - [c13]Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon:
Efficient Object Category Recognition Using Classemes. ECCV (1) 2010: 776-789 - [c12]Alessandro Bergamo, Lorenzo Torresani:
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach. NIPS 2010: 181-189
2000 – 2009
- 2009
- [c11]Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon:
Learning query-dependent prefilters for scalable image retrieval. CVPR 2009: 2615-2622 - [c10]Minh Hoai Nguyen, Lorenzo Torresani, Lorenzo de la Torre, Carsten Rother:
Weakly supervised discriminative localization and classification: a joint learning process. ICCV 2009: 1925-1932 - [c9]Wei Pan, Lorenzo Torresani:
Unsupervised hierarchical modeling of locomotion styles. ICML 2009: 785-792 - 2008
- [j1]Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler:
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 878-892 (2008) - [c8]Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother:
Feature Correspondence Via Graph Matching: Models and Global Optimization. ECCV (2) 2008: 596-609 - 2006
- [c7]Lorenzo Torresani, Kuang-chih Lee:
Large Margin Component Analysis. NIPS 2006: 1385-1392 - [c6]Lorenzo Torresani, Peggy Hackney, Christoph Bregler:
Learning Motion Style Synthesis from Perceptual Observations. NIPS 2006: 1393-1400 - 2005
- [b1]Lorenzo Torresani:
Learning models of human movement from video. Stanford University, USA, 2005 - 2004
- [c5]Lorenzo Torresani, Aaron Hertzmann:
Automatic Non-rigid 3D Modeling from Video. ECCV (2) 2004: 299-312 - 2003
- [c4]Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler:
Learning Non-Rigid 3D Shape from 2D Motion. NIPS 2003: 1555-1562 - 2002
- [c3]Lorenzo Torresani, Christoph Bregler:
Space-Time Tracking. ECCV (1) 2002: 801-812 - 2001
- [c2]Lorenzo Torresani, Danny B. Yang, Eugene J. Alexander, Christoph Bregler:
Tracking and Modeling Non-Rigid Objects with Rank Constraints. CVPR (1) 2001: 493-500
1990 – 1999
- 1997
- [c1]Tarcisio Coianiz, Lorenzo Torresani:
Analysis and Encoding of Lip Movements. AVBPA 1997: 53-60
Coauthor Index
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