Lorenzo Torresani

According to our database, Lorenzo Torresani authored at least 129 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Semantic Compositions Enhance Vision-Language Contrastive Learning.

Maxwell Mbabilla Aladago, Lorenzo Torresani, Soroush Vosoughi

CoRR, 2024

UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks.

Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation.

Feng Cheng, Mi Luo, Huiyu Wang, Alex Dimakis, Lorenzo Torresani, Gedas Bertasius, Kristen Grauman

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Segment Referred Objects from Narrated Egocentric Videos.

Yuhan Shen, Huiyu Wang, Xitong Yang, Matt Feiszli, Ehsan Elhamifar, Lorenzo Torresani, Effrosyni Mavroudi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Step Differences in Instructional Video.

Tushar Nagarajan, Lorenzo Torresani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision.

Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Video ReCap: Recursive Captioning of Hour-Long Videos.

Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

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.

CoRR, 2023

Multiscale Video Pretraining for Long-Term Activity Forecasting.

Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani

CoRR, 2023

MINOTAUR: Multi-task Video Grounding From Multimodal Queries.

Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran

CoRR, 2023

Egocentric Video Task Translation @ Ego4D Challenge 2022.

Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani

CoRR, 2023

What You Say Is What You Show: Visual Narration Detection in Instructional Videos.

Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman

CoRR, 2023

Ego-Only: Egocentric Action Detection without Exocentric Pretraining.

Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani

CoRR, 2023

Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities.

Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HT-Step: Aligning Instructional Articles with How-To Videos.

Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan, Huiyu Wang, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Ego-Only: Egocentric Action Detection without Exocentric Transferring.

Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning to Ground Instructional Articles in Videos through Narrations.

Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Relational Space-Time Query in Long-Form Videos.

Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Egocentric Video Task Translation.

Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HierVL: Learning Hierarchical Video-Language Embeddings.

Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation.

Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata

IEEE Trans. Pattern Anal. Mach. Intell., 2022

HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations.

Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour

CoRR, 2022

Deformable Video Transformer.

Jue Wang, Lorenzo Torresani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Long-Short Temporal Contrastive Learning of Video Transformers.

Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Ego4D: Around the World in 3, 000 Hours of Egocentric Video.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning To Recognize Procedural Activities with Distant Supervision.

Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Calibrating Histopathology Image Classifiers Using Label Smoothing.

Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

Proceedings of the Artificial Intelligence in Medicine, 2022

Label Hallucination for Few-Shot Classification.

Yiren Jian, Lorenzo Torresani

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Ego4D: Around the World in 3, 000 Hours of Egocentric Video.

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

CoRR, 2021

Resolution-based distillation for efficient histology image classification.

Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour

Artif. Intell. Medicine, 2021

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Supervoxel Attention Graphs for Long-Range Video Modeling.

Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.

Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Is Space-Time Attention All You Need for Video Understanding?

Gedas Bertasius, Heng Wang, Lorenzo Torresani

Proceedings of the 38th International Conference on Machine Learning, 2021

Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks.

Maxwell Mbabilla Aladago, Lorenzo Torresani

Proceedings of the 38th International Conference on Machine Learning, 2021

A Multi-View Approach to Audio-Visual Speaker Verification.

Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf

Proceedings of the IEEE International Conference on Acoustics, 2021

Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories.

Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs.

Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Petri Dish for Histopathology Image Analysis.

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

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

COBE: Contextualized Object Embeddings from Narrated Instructional Video.

Gedas Bertasius, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Supervised Learning by Cross-Modal Audio-Video Clustering.

Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalized Many-Way Few-Shot Video Classification.

Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Video Modeling With Correlation Networks.

Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Listen to Look: Action Recognition by Previewing Audio.

Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation.

Gedas Bertasius, Lorenzo Torresani

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Attentive Action and Context Factorization.

Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai Nguyen

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Stein Variational Inference for Discrete Distributions.

Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Self-Supervised Learning by Cross-Modal Audio-Video Clustering.

Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran

CoRR, 2019

UniDual: A Unified Model for Image and Video Understanding.

Yufei Wang, Du Tran, Lorenzo Torresani

CoRR, 2019

Learning Temporal Pose Estimation from Sparsely-Labeled Videos.

Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

STAR-Caps: Capsule Networks with Straight-Through Attentive Routing.

Karim Ahmed, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization.

Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Video Classification With Channel-Separated Convolutional Networks.

Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition.

Bruno Korbar, Du Tran, Lorenzo Torresani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DistInit: Learning Video Representations Without a Single Labeled Video.

Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Leveraging the Present to Anticipate the Future in Videos.

Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Semantic Segmentation of the Growth Stages of Plasmodium Parasites using Convolutional Neural Networks.

Maxwell Mbabilla Aladago, Lorenzo Torresani, Elena V. Rosca

Proceedings of the 2019 IEEE AFRICON, Accra, Ghana, September 25-27, 2019, 2019

2018

Learning Discriminative Motion Features Through Detection.

Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani

CoRR, 2018

Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization.

Bruno Korbar, Du Tran, Lorenzo Torresani

CoRR, 2018

BranchConnect: Image Categorization with Learned Branch Connections.

Karim Ahmed, Lorenzo Torresani

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization.

Bruno Korbar, Du Tran, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset.

Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri

Proceedings of the Computer Vision - ECCV 2018, 2018

Object Detection in Video with Spatiotemporal Sampling Networks.

Gedas Bertasius, Lorenzo Torresani, Jianbo Shi

Proceedings of the Computer Vision - ECCV 2018, 2018

MaskConnect: Connectivity Learning by Gradient Descent.

Karim Ahmed, Lorenzo Torresani

Proceedings of the Computer Vision - ECCV 2018, 2018

Computer Vision in DH.

Lauren Tilton, Taylor B. Arnold, Thomas Smits, Melvin Wevers, Mark Williams, Lorenzo Torresani, Maksim Bolonkin, John Bell, Dimitrios Latsis

Proceedings of the 13th Annual International Conference of the Alliance of Digital Humanities Organizations, 2018

A Closer Look at Spatiotemporal Convolutions for Action Recognition.

Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets.

De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detect-and-Track: Efficient Pose Estimation in Videos.

Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery.

Suriya Singh, Anil Batra, Guan Pang, Lorenzo Torresani, Saikat Basu, Manohar Paluri, C. V. Jawahar

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Multiple hypothesis colorization and its application to image compression.

Mohammad Haris Baig, Lorenzo Torresani

Comput. Vis. Image Underst., 2017

SLAC: A Sparsely Labeled Dataset for Action Classification and Localization.

Hang Zhao, Zhicheng Yan, Heng Wang, Lorenzo Torresani, Antonio Torralba

CoRR, 2017

Connectivity Learning in Multi-Branch Networks.

Karim Ahmed, Lorenzo Torresani

CoRR, 2017

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images.

Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour

CoRR, 2017

BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections.

Karim Ahmed, Lorenzo Torresani

CoRR, 2017

Learning to Inpaint for Image Compression.

Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deciphering Severely Degraded License Plates.

Shruti Agarwal, Du Tran, Lorenzo Torresani, Hany Farid

Proceedings of the Media Watermarking, Security, and Forensics 2017, Burlingame, CA, USA, 29 January 2017, 2017

Recurrent Mixture Density Network for Spatiotemporal Visual Attention.

Loris Bazzani, Hugo Larochelle, Lorenzo Torresani

Proceedings of the 5th International Conference on Learning Representations, 2017

Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps.

Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Convolutional Random Walk Networks for Semantic Image Segmentation.

Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Local Perturb-and-MAP for Structured Prediction.

Gedas Bertasius, Qiang Liu, Lorenzo Torresani, Jianbo Shi

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis.

Du Tran, Lorenzo Torresani

Int. J. Comput. Vis., 2016

ViCom: Benchmark and Methods for Video Comprehension.

Du Tran, Manohar Paluri, Lorenzo Torresani

CoRR, 2016

Colorization for Image Compression.

Mohammad Haris Baig, Lorenzo Torresani

CoRR, 2016

Self-taught object localization with deep networks.

Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov, Lorenzo Torresani

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Coupled depth learning.

Mohammad Haris Baig, Lorenzo Torresani

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Network of Experts for Large-Scale Image Categorization.

Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani

Proceedings of the Computer Vision - ECCV 2016, 2016

Deep End2End Voxel2Voxel Prediction.

Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Semantic Segmentation with Boundary Neural Fields.

Gedas Bertasius, Jianbo Shi, Lorenzo Torresani

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

What Can Pictures Tell Us About Web Pages? Improving Document Search Using Images.

Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Andrew W. Fitzgibbon

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Coarse-to-fine Depth Estimation from a Single Image via Coupled Regression and Dictionary Learning.

Mohammad Haris Baig, Lorenzo Torresani

CoRR, 2015

Learning Spatiotemporal Features with 3D Convolutional Networks.

Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision.

Gedas Bertasius, Jianbo Shi, Lorenzo Torresani

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

DeepEdge: A multi-scale bifurcated deep network for top-down contour detection.

Gedas Bertasius, Jianbo Shi, Lorenzo Torresani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Classemes: A Compact Image Descriptor for Efficient Novel-Class Recognition and Search.

Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon

Proceedings of the Registration and Recognition in Images and Videos, 2014

Weakly Supervised Learning.

Lorenzo Torresani

Computer Vision, A Reference Guide, 2014

Learning discriminative localization from weakly labeled data.

Minh Hoai Nguyen, Lorenzo Torresani, Fernando De la Torre, Carsten Rother

Pattern Recognit., 2014

Classemes and Other Classifier-Based Features for Efficient Object Categorization.

Alessandro Bergamo, Lorenzo Torresani

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning what is where from unlabeled images: joint localization and clustering of foreground objects.

Ashok Chandrashekar, Lorenzo Torresani, Richard Granger

Mach. Learn., 2014

EXMOVES: Classifier-based Features for Scalable Action Recognition.

Du Tran, Lorenzo Torresani

Proceedings of the 2nd International Conference on Learning Representations, 2014

C3D: Generic Features for Video Analysis.

Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

CoRR, 2014

AutoCaption: Automatic caption generation for personal photos.

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Improving tag transfer for image annotation using visual and semantic information.

Sergio Rodríguez-Vaamonde, Lorenzo Torresani, Koldo Espinosa, Estíbaliz Garrote

Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

2013

A Dual Decomposition Approach to Feature Correspondence.

Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother

IEEE Trans. Pattern Anal. Mach. Intell., 2013

CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones.

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

Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification.

Alessandro Bergamo, Sudipta N. Sinha, Lorenzo Torresani

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

WalkSafe: a pedestrian safety app for mobile phone users who walk and talk while crossing roads.

Tianyu Wang, Giuseppe Cardone, Antonio Corradi, Lorenzo Torresani, Andrew T. Campbell

Proceedings of the 2012 Workshop on Mobile Computing Systems and Applications, 2012

CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones.

Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

CarSafe demo: supporting driver safety using dual-cameras on smartphones.

Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Measuring Image Distances via Embedding in a Semantic Manifold.

Chen Fang, Lorenzo Torresani

Proceedings of the Computer Vision - ECCV 2012, 2012

Meta-class features for large-scale object categorization on a budget.

Alessandro Bergamo, Lorenzo Torresani

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

PiCoDes: Learning a Compact Code for Novel-Category Recognition.

Alessandro Bergamo, Lorenzo Torresani, Andrew W. Fitzgibbon

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Scalable object-class retrieval with approximate and top-k ranking.

Mohammad Rastegari, Chen Fang, Lorenzo Torresani

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach.

Alessandro Bergamo, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Efficient Object Category Recognition Using Classemes.

Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon

Proceedings of the Computer Vision, 2010

Simultaneous point matching and 3D deformable surface reconstruction.

Appu Shaji, Aydin Varol, Lorenzo Torresani, Pascal Fua

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Unsupervised hierarchical modeling of locomotion styles.

Wei Pan, Lorenzo Torresani

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Weakly supervised discriminative localization and classification: a joint learning process.

Minh Hoai Nguyen, Lorenzo Torresani, Lorenzo de la Torre, Carsten Rother

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Learning query-dependent prefilters for scalable image retrieval.

Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors.

Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Feature Correspondence Via Graph Matching: Models and Global Optimization.

Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother

Proceedings of the Computer Vision, 2008

2006

Large Margin Component Analysis.

Lorenzo Torresani, Kuang-chih Lee

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning Motion Style Synthesis from Perceptual Observations.

Lorenzo Torresani, Peggy Hackney, Christoph Bregler

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Learning models of human movement from video.

Lorenzo Torresani

PhD thesis, 2005

2004

Automatic Non-rigid 3D Modeling from Video.

Lorenzo Torresani, Aaron Hertzmann

Proceedings of the Computer Vision, 2004

2003

Learning Non-Rigid 3D Shape from 2D Motion.

Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Space-Time Tracking.

Lorenzo Torresani, Christoph Bregler

Proceedings of the Computer Vision, 2002

2001

Tracking and Modeling Non-Rigid Objects with Rank Constraints.

Lorenzo Torresani, Danny B. Yang, Eugene J. Alexander, Christoph Bregler

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

1997

Analysis and Encoding of Lip Movements.

Tarcisio Coianiz, Lorenzo Torresani

Proceedings of the Audio- and Video-Based Biometric Person Authentication, 1997