Judy Hoffman

153 papers A* 43A 7B 1C 1Misc 2Journal 81Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Resolving Interference (RI): Disentangling Models for Improved Model Merging.
CoRR
Pratik Ramesh, George Stoica, Arun Iyer, Leshem Choshen, Judy Hoffman
2025 J jnl
Contrastive Flow Matching.
CoRR
George Stoica, Vivek Ramanujan, Xiang Fan, Ali Farhadi, Ranjay Krishna, Judy Hoffman
2025 J jnl
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.
Int. J. Comput. Vis.
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, David Crandall, Dima Damen, Jakob Julian Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray
2025 J jnl
EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data.
CoRR
Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa, Pranav Kuppili, Lawrence Y. Zhu, Simar Kareer, Judy Hoffman, Danfei Xu
2025 A* conf
EgoMimic: Scaling Imitation Learning via Egocentric Video.
ICRA
Simar Kareer, Dhruv Patel, Ryan Punamiya, Pranay Mathur, Shuo Cheng, Chen Wang, Judy Hoffman, Danfei Xu
2025 J jnl
Emergence of Human to Robot Transfer in Vision-Language-Action Models.
CoRR
Simar Kareer, Karl Pertsch, James Darpinian, Judy Hoffman, Danfei Xu, Sergey Levine, Chelsea Finn, Suraj Nair
2025 A* conf
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders.
CVPR
Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman, James M. Rehg
2025 A* conf
Improving Personalized Search with Regularized Low-Rank Parameter Updates.
CVPR
Fiona Ryan, Josef Sivic, Fabian Caba Heilbron, Judy Hoffman, James M. Rehg, Bryan C. Russell
2025 J jnl
Improving Personalized Search with Regularized Low-Rank Parameter Updates.
CoRR
Fiona Ryan, Josef Sivic, Fabian Caba Heilbron, Judy Hoffman, James M. Rehg, Bryan C. Russell
2025 A* conf
Model merging with SVD to tie the Knots.
ICLR
George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman
2024 A* conf
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images.
ICLR
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman
2024 A* conf
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.
CVPR
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob J. Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray
2024 J jnl
EgoMimic: Scaling Imitation Learning via Egocentric Video.
CoRR
Simar Kareer, Dhruv Patel, Ryan Punamiya, Pranay Mathur, Shuo Cheng, Chen Wang, Judy Hoffman, Danfei Xu
2024 J jnl
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders.
CoRR
Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman, James M. Rehg
2024 J jnl
Model merging with SVD to tie the Knots.
CoRR
George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman
2024 — conf
SKYSCENES: A Synthetic Dataset for Aerial Scene Understanding.
ECCV (79)
Sahil Khose, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay
2024 A* conf
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors.
NeurIPS
Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman
2024 J jnl
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors.
CoRR
Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman
2024 J jnl
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline.
CoRR
Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu
2024 J jnl
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline.
Trans. Mach. Learn. Res.
Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Prabhu
2024 A* conf
Window Attention is Bugged: How not to Interpolate Position Embeddings.
ICLR
Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
2024 A* conf
ZipIt! Merging Models from Different Tasks without Training.
ICLR
George Stoica, Daniel Bolya, Jakob Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman
2023 J jnl
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images.
CoRR
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman
2023 A* conf
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.
NeurIPS
Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
2023 J jnl
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.
CoRR
Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
2023 A* conf
Benchmarking Low-Shot Robustness to Natural Distribution Shifts.
ICCV
Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman
2023 J jnl
Benchmarking Low-Shot Robustness to Natural Distribution Shifts.
CoRR
Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman
2023 J jnl
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.
CoRR
Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas
2023 J jnl
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.
Trans. Mach. Learn. Res.
Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas
2023 A conf
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.
CIKM
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
2023 A* conf
FACTS: First Amplify Correlations and Then Slice to Discover Bias.
ICCV
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
2023 J jnl
FACTS: First Amplify Correlations and Then Slice to Discover Bias.
CoRR
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
2023 A* conf
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.
ICML
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
2023 J jnl
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.
CoRR
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
2023 J jnl
ICON
CoRR
Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman
2023 A* conf
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images.
NeurIPS
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
2023 J jnl
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images.
CoRR
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
2023 J jnl
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories.
CoRR
Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
2023 J jnl
Mitigating Bias in Visual Transformers via Targeted Alignment.
CoRR
Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman
2023 A* conf
Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization.
ICCV
Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman
2023 J jnl
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding.
CoRR
Sahil Khose, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay
2023 A conf
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation.
WACV
Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira
2023 A* conf
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances.
ICRA
Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa
2023 J jnl
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances.
CoRR
Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa
2023 — conf
Token Merging for Fast Stable Diffusion.
CVPR Workshops
Daniel Bolya, Judy Hoffman
2023 J jnl
Token Merging for Fast Stable Diffusion.
CoRR
Daniel Bolya, Judy Hoffman
2023 A* conf
Token Merging: Your ViT But Faster.
ICLR
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
2023 J jnl
Window Attention is Bugged: How not to Interpolate Position Embeddings.
CoRR
Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
2023 J jnl
ZipIt! Merging Models from Different Tasks without Training.
CoRR
George Stoica, Daniel Bolya, Jakob Bjorner, Taylor Hearn, Judy Hoffman
2022 A* conf
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency.
NeurIPS
Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
2022 J jnl
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency.
CoRR
Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
2022 — conf
Can domain adaptation make object recognition work for everyone?
CVPR Workshops
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
2022 J jnl
Can domain adaptation make object recognition work for everyone?
CoRR
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
2022 J jnl
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.
CoRR
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
2022 — conf
Hydra Attention: Efficient Attention with Many Heads.
ECCV Workshops (7)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
2022 J jnl
Hydra Attention: Efficient Attention with Many Heads.
CoRR
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
2022 J jnl
Multiple-source adaptation theory and algorithms - addendum.
Ann. Math. Artif. Intell.
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2022 J jnl
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization.
CoRR
Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman
2022 J jnl
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation.
CoRR
Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira
2022 J jnl
Token Merging: Your ViT But Faster.
CoRR
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
2022 A* conf
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier.
CVPR
Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau
2022 J jnl
VisCUIT: Visual Auditor for Bias in CNN Image Classifier.
CoRR
Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng Chau
2022 A* conf
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings.
NeurIPS
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra
2022 J jnl
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings.
CoRR
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra
2021 A* conf
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings.
ICCV
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
2021 A conf
Mitigating Bias in Visual Transformers via Targeted Alignment.
BMVC
Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman
2021 J jnl
Multiple-source adaptation theory and algorithms.
Ann. Math. Artif. Intell.
Ningshan Zhang, Mehryar Mohri, Judy Hoffman
2021 A conf
Representation Learning Through Latent Canonicalizations.
WACV
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
2021 A* conf
RobustNav: Towards Benchmarking Robustness in Embodied Navigation.
ICCV
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 J jnl
RobustNav: Towards Benchmarking Robustness in Embodied Navigation.
CoRR
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 J jnl
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training.
CoRR
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
2021 A* conf
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation.
ICCV
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
2021 A* conf
Scalable Diverse Model Selection for Accessible Transfer Learning.
NeurIPS
Daniel Bolya, Rohit Mittapalli, Judy Hoffman
2021 J jnl
Scalable Diverse Model Selection for Accessible Transfer Learning.
CoRR
Daniel Bolya, Rohit Mittapalli, Judy Hoffman
2021 A* conf
Temporal Action Detection with Multi-level Supervision.
ICCV
Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2021 A conf
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models.
BMVC
Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
2021 J jnl
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models.
CoRR
Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
2020 J jnl
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings.
CoRR
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
2020 J jnl
Analyzing Visual Representations in Embodied Navigation Tasks.
CoRR
Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos
2020 A* conf
Auxiliary Task Reweighting for Minimum-data Learning.
NeurIPS
Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2020 J jnl
Auxiliary Task Reweighting for Minimum-data Learning.
CoRR
Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2020 Misc conf
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents.
CoRL
Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh
2020 J jnl
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents.
CoRR
Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh
2020 — conf
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization.
ECCV (9)
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
2020 J jnl
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization.
CoRR
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
2020 — conf
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses.
ECCV Workshops (1)
Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman
2020 J jnl
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses.
CoRR
Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman
2020 Misc conf
Masked reconstruction based self-supervision for human activity recognition.
ISWC
Harish Haresamudram, Apoorva Beedu, Varun Agrawal, Patrick L. Grady, Irfan A. Essa, Judy Hoffman, Thomas Plötz
2020 J jnl
Representation Learning Through Latent Canonicalizations.
CoRR
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
2020 J jnl
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation.
CoRR
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
2020 — conf
TIDE: A General Toolbox for Identifying Object Detection Errors.
ECCV (3)
Daniel Bolya, Sean Foley, James Hays, Judy Hoffman
2020 J jnl
TIDE: A General Toolbox for Identifying Object Detection Errors.
CoRR
Daniel Bolya, Sean Foley, James Hays, Judy Hoffman
2020 J jnl
Temporal Action Detection with Multi-level Supervision.
CoRR
Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2019 J jnl
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets.
CoRR
Yogesh Balaji, Tom Goldstein, Judy Hoffman
2019 J jnl
Predictive Inequity in Object Detection.
CoRR
Benjamin Wilson, Judy Hoffman, Jamie Morgenstern
2019 J jnl
Robust Learning with Jacobian Regularization.
CoRR
Judy Hoffman, Daniel A. Roberts, Sho Yaida
2019 A* conf
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation.
ICCV
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
2019 J jnl
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation.
CoRR
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
2018 — conf
Adapting to Continuously Shifting Domains.
ICLR (Workshop)
Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell
2018 A* conf
Algorithms and Theory for Multiple-Source Adaptation.
NeurIPS
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2018 J jnl
Algorithms and Theory for Multiple-Source Adaptation.
CoRR
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2018 A* conf
CyCADA: Cycle-Consistent Adversarial Domain Adaptation.
ICML
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2018 A conf
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning.
WACV
Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei
2018 J jnl
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation.
CoRR
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko
2018 — conf
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation.
CVPR Workshops
Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko
2017 — conf
Adversarial Discriminative Domain Adaptation (workshop extended abstract).
ICLR (Workshop)
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
2017 A* conf
Adversarial Discriminative Domain Adaptation.
CVPR
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
2017 J jnl
Adversarial Discriminative Domain Adaptation.
CoRR
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
2017 J jnl
CyCADA: Cycle-Consistent Adversarial Domain Adaptation.
CoRR
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2017 A* conf
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach.
ICCV
Timnit Gebru, Judy Hoffman, Li Fei-Fei
2017 J jnl
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach.
CoRR
Timnit Gebru, Judy Hoffman, Li Fei-Fei
2017 A* conf
Inferring and Executing Programs for Visual Reasoning.
ICCV
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017 J jnl
Inferring and Executing Programs for Visual Reasoning.
CoRR
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017 J jnl
Label Efficient Learning of Transferable Representations across Domains and Tasks.
CoRR
Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei
2017 — conf
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks.
NIPS
Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei
2017 J jnl
Multiple-Source Adaptation for Regression Problems.
CoRR
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2017 — ch.
Simultaneous Deep Transfer Across Domains and Tasks.
Domain Adaptation in Computer Vision Applications
Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko
2017 J jnl
VisDA: The Visual Domain Adaptation Challenge.
CoRR
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
2016 C conf
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints.
WAFR
Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell
2016 — conf
Best Practices for Fine-Tuning Visual Classifiers to New Domains.
ECCV Workshops (3)
Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell
2016 — conf
Clockwork Convnets for Video Semantic Segmentation.
ECCV Workshops (3)
Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell
2016 J jnl
Clockwork Convnets for Video Semantic Segmentation.
CoRR
Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell
2016 A* conf
Cross Modal Distillation for Supervision Transfer.
CVPR
Saurabh Gupta, Judy Hoffman, Jitendra Malik
2016 A* conf
Cross-modal adaptation for RGB-D detection.
ICRA
Judy Hoffman, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell
2016 J jnl
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.
CoRR
Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell
2016 J jnl
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification.
CoRR
Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
2016 B conf
Fine-to-coarse knowledge transfer for low-res image classification.
ICIP
Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
2016 J jnl
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning.
J. Mach. Learn. Res.
Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko
2016 A* conf
Learning with Side Information through Modality Hallucination.
CVPR
Judy Hoffman, Saurabh Gupta, Trevor Darrell
2015 J jnl
Cross Modal Distillation for Supervision Transfer.
CoRR
Saurabh Gupta, Judy Hoffman, Jitendra Malik
2015 A* conf
Detector discovery in the wild: Joint multiple instance and representation learning.
CVPR
Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko
2015 J jnl
Quantification in-the-wild: data-sets and baselines.
CoRR
Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel González-Rivero, Ove Hoegh-Guldberg
2015 A* conf
Simultaneous Deep Transfer Across Domains and Tasks.
ICCV
Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko
2015 J jnl
Simultaneous Deep Transfer Across Domains and Tasks.
CoRR
Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko
2015 A* conf
Spatial Semantic Regularisation for Large Scale Object Detection.
ICCV
Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell
2015 J jnl
Spatial Semantic Regularisation for Large Scale Object Detection.
CoRR
Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell
2015 J jnl
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments.
CoRR
Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell
2014 J jnl
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.
Int. J. Comput. Vis.
Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko
2014 A* conf
Continuous Manifold Based Adaptation for Evolving Visual Domains.
CVPR
Judy Hoffman, Trevor Darrell, Kate Saenko
2014 A* conf
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
ICML
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
2014 J jnl
Deep Domain Confusion: Maximizing for Domain Invariance.
CoRR
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell
2014 J jnl
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning.
CoRR
Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko
2014 A* conf
Interactive adaptation of real-time object detectors.
ICRA
Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
2014 J jnl
LSDA: Large Scale Detection Through Adaptation.
CoRR
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
2014 — conf
LSDA: Large Scale Detection through Adaptation.
NIPS
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
2014 — conf
One-Shot Adaptation of Supervised Deep Convolutional Models.
ICLR (Workshop Poster)
Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell
2013 J jnl
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
CoRR
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
2013 A* conf
Efficient Learning of Domain-invariant Image Representations
ICLR (Poster)
Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell
2013 A* conf
Semi-supervised Domain Adaptation with Instance Constraints.
CVPR
Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
2013 J jnl
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations.
CoRR
Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko
2012 — conf
Discovering Latent Domains for Multisource Domain Adaptation.
ECCV (2)
Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko
2012 — conf
Weakly Supervised Learning of Object Segmentations from Web-Scale Video.
ECCV Workshops (1)
Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar
2011 A conf
EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles.
IROS
Leonard Jaillet, Judy Hoffman, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Kenneth Y. Goldberg