Lorenzo Torresani

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 123

Top Venues

CoRR

CVPR

ICCV

NeurIPS

Publications

Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius
Video ReCap: Recursive Captioning of Hour-Long Videos. CoRR (2024)
Maxwell Mbabilla Aladago, Lorenzo Torresani, Soroush Vosoughi
Semantic Compositions Enhance Vision-Language Contrastive Learning. CoRR (2024)
Tushar Nagarajan, Lorenzo Torresani
Step Differences in Instructional Video. CoRR (2024)
Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran
Relational Space-Time Query in Long-Form Videos. CVPR (2023)
Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani
Egocentric Video Task Translation. CVPR (2023)
Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani
Learning to Ground Instructional Articles in Videos through Narrations. ICCV (2023)
Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani
Egocentric Video Task Translation @ Ego4D Challenge 2022. CoRR (2023)
Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani
Ego-Only: Egocentric Action Detection without Exocentric Transferring. ICCV (2023)
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 (2023)
Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani
Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities. NeurIPS (2023)
Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CoRR (2023)
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
HierVL: Learning Hierarchical Video-Language Embeddings. CoRR (2023)
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
What You Say Is What You Show: Visual Narration Detection in Instructional Videos. CoRR (2023)
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 (2023)
Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan, Huiyu Wang, Lorenzo Torresani
HT-Step: Aligning Instructional Articles with How-To Videos. NeurIPS (2023)
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
HierVL: Learning Hierarchical Video-Language Embeddings. CVPR (2023)
Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani
Learning to Ground Instructional Articles in Videos through Narrations. CoRR (2023)
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 (2023)
Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani
Ego-Only: Egocentric Action Detection without Exocentric Pretraining. CoRR (2023)
Jue Wang, Lorenzo Torresani
Deformable Video Transformer. CoRR (2022)
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) (2022)
Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
Calibrating Histopathology Image Classifiers using Label Smoothing. CoRR (2022)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CoRR (2022)
Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani
Egocentric Video Task Translation. CoRR (2022)
Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
Calibrating Histopathology Image Classifiers Using Label Smoothing. AIME (2022)
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)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CVPR (2022)
Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations. CoRR (2022)
Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani
Long-Short Temporal Contrastive Learning of Video Transformers. CVPR (2022)
Yiren Jian, Lorenzo Torresani
Label Hallucination for Few-Shot Classification. AAAI (2022)
Jue Wang, Lorenzo Torresani
Deformable Video Transformer. CVPR (2022)
Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. CoRR (2021)
Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf
A Multi-View Approach To Audio-Visual Speaker Verification. CoRR (2021)
Yiren Jian, Lorenzo Torresani
Label Hallucination for Few-Shot Classification. CoRR (2021)
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)
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 (2021)
Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani
Supervoxel Attention Graphs for Long-Range Video Modeling. WACV (2021)
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)
Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine 119 (2021)
Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani
Long-Short Temporal Contrastive Learning of Video Transformers. CoRR (2021)
Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
Resolution-Based Distillation for Efficient Histology Image Classification. CoRR (2021)
Gedas Bertasius, Heng Wang, Lorenzo Torresani
Is Space-Time Attention All You Need for Video Understanding? ICML (2021)
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 Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, 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 Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard 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 (2021)
Maxwell Mbabilla Aladago, Lorenzo Torresani
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks. CoRR (2021)
Maxwell Mbabilla Aladago, Lorenzo Torresani
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks. ICML (2021)
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 (2021)
Gedas Bertasius, Heng Wang, Lorenzo Torresani
Is Space-Time Attention All You Need for Video Understanding? CoRR (2021)
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)
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)
Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf
A Multi-View Approach to Audio-Visual Speaker Verification. ICASSP (2021)
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)
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
Video Modeling With Correlation Networks. CVPR (2020)
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 (2020)
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
Stein Variational Inference for Discrete Distributions. CoRR (2020)
Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
Generalized Many-Way Few-Shot Video Classification. CoRR (2020)
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
Listen to Look: Action Recognition by Previewing Audio. CVPR (2020)
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
Stein Variational Inference for Discrete Distributions. AISTATS (2020)
Gedas Bertasius, Lorenzo Torresani
COBE: Contextualized Object Embeddings from Narrated Instructional Video. NeurIPS (2020)
Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. NeurIPS (2020)
Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) (2020)
Bruno Korbar, Fabio Petroni, Rohit Girdhar, Lorenzo Torresani
Video Understanding as Machine Translation. CoRR (2020)
Gedas Bertasius, Lorenzo Torresani
COBE: Contextualized Object Embeddings from Narrated Instructional Video. CoRR (2020)
Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai Nguyen
Attentive Action and Context Factorization. BMVC (2020)
Gedas Bertasius, Lorenzo Torresani
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. CVPR (2020)
Yufei Wang, Du Tran, Lorenzo Torresani
UniDual: A Unified Model for Image and Video Understanding. CoRR (2019)
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR (2019)
Karim Ahmed, Lorenzo Torresani
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing. NeurIPS (2019)
Bruno Korbar, Du Tran, Lorenzo Torresani
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition. CoRR (2019)
Gedas Bertasius, Lorenzo Torresani
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. CoRR (2019)
Bruno Korbar, Du Tran, Lorenzo Torresani
SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition. ICCV (2019)
Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan
DistInit: Learning Video Representations Without a Single Labeled Video. ICCV (2019)
Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani
Video Classification With Channel-Separated Convolutional Networks. ICCV (2019)
Maxwell Mbabilla Aladago, Lorenzo Torresani, Elena V. Rosca
Semantic Segmentation of the Growth Stages of Plasmodium Parasites using Convolutional Neural Networks. AFRICON (2019)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. CoRR (2019)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. NeurIPS (2019)
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
Listen to Look: Action Recognition by Previewing Audio. CoRR (2019)
Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai
Attentive Action and Context Factorization. CoRR (2019)
Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran
Leveraging the Present to Anticipate the Future in Videos. CVPR Workshops (2019)
Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan
DistInit: Learning Video Representations without a Single Labeled Video. CoRR (2019)
Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. ICCV (2019)
Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. CoRR (2019)
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
Video Modeling with Correlation Networks. CoRR (2019)
Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli
Video Classification with Channel-Separated Convolutional Networks. CoRR (2019)
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)
Karim Ahmed, Lorenzo Torresani
MaskConnect: Connectivity Learning by Gradient Descent. ECCV (5) (2018)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Discriminative Motion Features Through Detection. CoRR (2018)
Karim Ahmed, Lorenzo Torresani
MaskConnect: Connectivity Learning by Gradient Descent. CoRR (2018)
Karim Ahmed, Lorenzo Torresani
BranchConnect: Image Categorization with Learned Branch Connections. WACV (2018)
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)
Gedas Bertasius, Lorenzo Torresani, Jianbo Shi
Object Detection in Video with Spatiotemporal Sampling Networks. ECCV (12) (2018)
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)
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
A Closer Look at Spatiotemporal Convolutions for Action Recognition. CVPR (2018)
Bruno Korbar, Du Tran, Lorenzo Torresani
Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. CoRR (2018)
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)
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran
Detect-and-Track: Efficient Pose Estimation in Videos. CVPR (2018)
Gedas Bertasius, Lorenzo Torresani, Jianbo Shi
Object Detection in Video with Spatiotemporal Sampling Networks. CoRR (2018)
Bruno Korbar, Du Tran, Lorenzo Torresani
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. NeurIPS (2018)
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 (2017)
Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
Learning to Inpaint for Image Compression. CoRR (2017)
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)

Lorenzo Torresani.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lorenzo Torresani