Hoffman, Judy

71 publications

ICCV 2025 Contrastive Flow Matching George Stoica, Vivek Ramanujan, Xiang Fan, Ali Farhadi, Ranjay Krishna, Judy Hoffman

NeurIPS 2025 EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa, Pranav Kuppili, Lawrence Y. Zhu, Simar Kareer, Judy Hoffman, Danfei Xu

CVPR 2025 Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman, James M. Rehg

CVPR 2025 Improving Personalized Search with Regularized Low-Rank Parameter Updates Fiona Ryan, Josef Sivic, Fabian Caba Heilbron, Judy Hoffman, James M. Rehg, Bryan Russell

ICLR 2025 Model Merging with SVD to Tie the Knots George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman

ICLR 2024 AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Uday Prabhu, Judy Hoffman

CVPR 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, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog 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 Gonzalez, 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 Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray

NeurIPS 2024 Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image Detectors Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman

ECCV 2024 SkyScenes: A Synthetic Dataset for Aerial Scene Understanding Sahil S Khose, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay

TMLR 2024 We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Uday Prabhu

ICLR 2024 Window Attention Is Bugged: How Not to Interpolate Position Embeddings Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer

ICLR 2024 ZipIt! Merging Models from Different Tasks Without Training George Stoica, Daniel Bolya, Jakob Brandt Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman

NeurIPS 2023 Battle of the Backbones: A Large-Scale Comparison of Pretrained Models Across Computer Vision Tasks Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew G Wilson, Tom Goldstein

ICCV 2023 Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman

TMLR 2023 Bridging the Sim2Real Gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting Viraj Uday Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas

ICCV 2023 FACTS: First Amplify Correlations and Then Slice to Discover Bias Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman

ICML 2023 Hiera: A Hierarchical Vision Transformer Without the Bells-and-Whistles Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer

NeurIPS 2023 LANCE: Stress-Testing Visual Models by Generating Language-Guided Counterfactual Images Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman

NeurIPSW 2023 Memory in Plain Sight: A Survey of the Uncanny Resemblances Between Diffusion Models and Associative Memories Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau

ICCV 2023 PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman

WACV 2023 Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira

CVPRW 2023 Token Merging for Fast Stable Diffusion Daniel Bolya, Judy Hoffman

ICLR 2023 Token Merging: Your ViT but Faster Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman

NeurIPSW 2023 ZipIt!: Multitask Model Merging Without Training George Stoica, Daniel Bolya, Jakob Brandt Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman

NeurIPS 2022 Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman

NeurIPSW 2022 Augmentation Consistency-Guided Self-Training for Source-Free Domain Adaptive Semantic Segmentation Viraj Uday Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman

CVPRW 2022 Can Domain Adaptation Make Object Recognition Work for Everyone? Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik

ECCVW 2022 Hydra Attention: Efficient Attention with Many Heads Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman

CVPR 2022 VisCUIT: Visual Auditor for Bias in CNN Image Classifier Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng Chau

NeurIPS 2022 ZSON: Zero-Shot Object-Goal Navigation Using Multimodal Goal Embeddings Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra

ICCV 2021 Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman

WACV 2021 Representation Learning Through Latent Canonicalizations Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman

ICCV 2021 RobustNav: Towards Benchmarking Robustness in Embodied Navigation Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi

ICCV 2021 SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman

NeurIPS 2021 Scalable Diverse Model Selection for Accessible Transfer Learning Daniel Bolya, Rohit Mittapalli, Judy Hoffman

ICCV 2021 Temporal Action Detection with Multi-Level Supervision Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

NeurIPS 2020 Auxiliary Task Reweighting for Minimum-Data Learning Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

ICLR 2020 Insights on Visual Representations for Embodied Navigation Tasks Erik Wijmans, Julian Straub, Irfan Essa, Dhruv Batra, Judy Hoffman, Ari Morcos

CoRL 2020 Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh

ECCV 2020 Learning to Balance Specificity and Invariance for in and Out of Domain Generalization Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman

ECCVW 2020 Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman

ICLR 2020 Robust Learning with Jacobian Regularization Judy Hoffman, Daniel A. Roberts, Sho Yaida

ECCV 2020 TIDE: A General Toolbox for Identifying Object Detection Errors Daniel Bolya, Sean Foley, James Hays, Judy Hoffman

NeurIPS 2018 Algorithms and Theory for Multiple-Source Adaptation Judy Hoffman, Mehryar Mohri, Ningshan Zhang

ICML 2018 CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell

WACV 2018 Scaling Human-Object Interaction Recognition Through Zero-Shot Learning Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

CVPRW 2018 VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko

CVPR 2017 Adversarial Discriminative Domain Adaptation Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

ICLR 2017 Adversarial Discriminative Domain Adaptation (workshop Extended Abstract) Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

ICCV 2017 Fine-Grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach Timnit Gebru, Judy Hoffman, Li Fei-Fei

ICCV 2017 Inferring and Executing Programs for Visual Reasoning Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

NeurIPS 2017 Label Efficient Learning of Transferable Representations Acrosss Domains and Tasks Zelun Luo, Yuliang Zou, Judy Hoffman, Li F Fei-Fei

ECCV 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

ECCVW 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

ECCV 2016 Clockwork Convnets for Video Semantic Segmentation Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell

ECCVW 2016 Clockwork Convnets for Video Semantic Segmentation Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell

CVPR 2016 Cross Modal Distillation for Supervision Transfer Saurabh Gupta, Judy Hoffman, Jitendra Malik

JMLR 2016 Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko

CVPR 2016 Learning with Side Information Through Modality Hallucination Judy Hoffman, Saurabh Gupta, Trevor Darrell

CVPR 2015 Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko

ICCV 2015 Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko

ICCV 2015 Spatial Semantic Regularisation for Large Scale Object Detection Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

CVPR 2014 Continuous Manifold Based Adaptation for Evolving Visual Domains Judy Hoffman, Trevor Darrell, Kate Saenko

ICML 2014 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

NeurIPS 2014 LSDA: Large Scale Detection Through Adaptation Judy Hoffman, Sergio Guadarrama, Eric S Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

ICLR 2014 One-Shot Adaptation of Supervised Deep Convolutional Models Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

ICLR 2013 Efficient Learning of Domain-Invariant Image Representations Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell

CVPR 2013 Semi-Supervised Domain Adaptation with Instance Constraints Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell

ECCV 2012 Discovering Latent Domains for Multisource Domain Adaptation Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko

ECCV 2012 Weakly Supervised Learning of Object Segmentations from Web-Scale Video Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar

ECCVW 2012 Weakly Supervised Learning of Object Segmentations from Web-Scale Video Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar