Publications

2025

New Contrastive Flow Matching

George Stoica, Vivek Ramanujan*, Xiang Fan*, Ranjay Krishna and Judy Hoffman. IEEE/CVF International Conference in Computer Vision (ICCV), 2025.

PDF

					@inproceedings{ 2025_iccv_Stoica },
					  title={ Contrastive Flow Matching },
					  author={ George Stoica and Vivek Ramanujan* and Xiang Fan* and Ranjay Krishna and Judy Hoffman },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2025 }
					}

Improving Personalized Search with Regularized Low-Rank Parameter Updates preview

New Improving Personalized Search with Regularized Low-Rank Parameter Updates

Fiona Ryan, Josef Sivic, Fabian Caba Heilbron, Judy Hoffman, James M. Rehg, Bryan Russell. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2025.

Highlight Award

PDF Code

					@inproceedings{ 2025_cvpr_Ryan },
					  title={ Improving Personalized Search with Regularized Low-Rank Parameter Updates },
					  author={ Fiona Ryan and Josef Sivic and Fabian Caba Heilbron and Judy Hoffman and James M. Rehg and Bryan Russell },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2025 }
					}

Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders preview

New Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders

Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman*, James M. Rehg*. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2025.

Highlight Award

PDF Code

					@inproceedings{ 2025_cvpr_Ryan },
					  title={ Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders },
					  author={ Fiona Ryan and Ajay Bati and Sangmin Lee and Daniel Bolya and Judy Hoffman* and James M. Rehg* },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2025 }
					}

EgoMimic | Scaling Imitation Learning through Egocentric Video preview

New EgoMimic | Scaling Imitation Learning through Egocentric Video

Simar Kareer, Dhruv Patel*, Ryan Punamiya*, Pranay Mathur*, Shuo Cheng, Chen Wang, Judy Hoffman*, Danfei Xu*. International Conference in Robotics and Automation (ICRA), 2025.

PDF Code Project Video

					@inproceedings{ 2025_icra_Kareer },
					  title={ EgoMimic | Scaling Imitation Learning through Egocentric Video },
					  author={ Simar Kareer and Dhruv Patel* and Ryan Punamiya* and Pranay Mathur* and Shuo Cheng and Chen Wang and Judy Hoffman* and Danfei Xu* },
					  booktitle={ International Conference in Robotics and Automation (ICRA) },
					  year={ 2025 }
					}

Press: Meta News, Computer World

Model Merging with SVD to tie the KnOTS preview

New Model Merging with SVD to tie the KnOTS

George Stoica*, Pratik Ramesh*, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman. International Conference on Learning Representations (ICLR), 2025.

PDF Code

					@inproceedings{ 2025_iclr_Stoica* },
					  title={ Model Merging with SVD to tie the KnOTS },
					  author={ George Stoica* and Pratik Ramesh* and Boglarka Ecsedi and Leshem Choshen and Judy Hoffman },
					  booktitle={ International Conference on Learning Representations (ICLR) },
					  year={ 2025 }
					}

Press: GT CoC

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. Neural Information Processing Systems (NeurIPS), 2024.

PDF Code

					@inproceedings{ 2024_neurips_Pal* },
					  title={ Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors },
					  author={ Anisha Pal* and Julia Kruk* and Mansi Phute and Manognya Bhattaram and Diyi Yang and Duen Horng Chau and Judy Hoffman },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2024 }
					}

We're Not Using Videos Effectively: An Updated Video Domain Adaptation Baseline

Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu. Transactions on Machine Learning Research (TMLR), 2024.

PDF Code Project

					@inproceedings{ 2024_tmlr_Kareer },
					  title={ We're Not Using Videos Effectively: An Updated Video Domain Adaptation Baseline },
					  author={ Simar Kareer and Vivek Vijaykumar and Harsh Maheshwari and Prithvijit Chattopadhyay and Judy Hoffman and Viraj Prabhu },
					  booktitle={ Transactions on Machine Learning Research (TMLR) },
					  year={ 2024 }
					}

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding

Sahil Khose*, Anisha Pal*, Aayushi Agarwal*, Deepanshi*, Judy Hoffman, Prithvijit Chattopadhyay. European Conference in Computer Vision (ECCV), 2024.

PDF Code Project

					@inproceedings{ 2024_eccv_Khose* },
					  title={ SkyScenes: A Synthetic Dataset for Aerial Scene Understanding },
					  author={ Sahil Khose* and Anisha Pal* and Aayushi Agarwal* and Deepanshi* and Judy Hoffman and Prithvijit Chattopadhyay },
					  booktitle={ European Conference in Computer Vision (ECCV) },
					  year={ 2024 }
					}

Press: GT Article

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, David Crandall, 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. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2024.

Oral Presentation

PDF

					@inproceedings{ 2024_cvpr_Grauman },
					  title={ Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives },
					  author={ Kristen Grauman and Andrew Westbury and Lorenzo Torresani and Kris Kitani and Jitendra Malik and Triantafyllos Afouras and Kumar Ashutosh and Vijay Baiyya and Siddhant Bansal and Bikram Boote and Eugene Byrne and Zach Chavis and Joya Chen and Feng Cheng and Fu-Jen Chu and Sean Crane and Avijit Dasgupta and Jing Dong and Maria Escobar and Cristhian Forigua and Abrham Gebreselasie and Sanjay Haresh and Jing Huang and Md Mohaiminul Islam and Suyog Jain and Rawal Khirodkar and Devansh Kukreja and Kevin J Liang and Jia-Wei Liu and Sagnik Majumder and Yongsen Mao and Miguel Martin and Effrosyni Mavroudi and Tushar Nagarajan and Francesco Ragusa and Santhosh Kumar Ramakrishnan and Luigi Seminara and Arjun Somayazulu and Yale Song and Shan Su and Zihui Xue and Edward Zhang and Jinxu Zhang and Angela Castillo and Changan Chen and Xinzhu Fu and Ryosuke Furuta and Cristina Gonzalez and Prince Gupta and Jiabo Hu and Yifei Huang and Yiming Huang and Weslie Khoo and Anush Kumar and Robert Kuo and Sach Lakhavani and Miao Liu and Mi Luo and Zhengyi Luo and Brighid Meredith and Austin Miller and Oluwatumininu Oguntola and Xiaqing Pan and Penny Peng and Shraman Pramanick and Merey Ramazanova and Fiona Ryan and Wei Shan and Kiran Somasundaram and Chenan Song and Audrey Southerland and Masatoshi Tateno and Huiyu Wang and Yuchen Wang and Takuma Yagi and Mingfei Yan and Xitong Yang and Zecheng Yu and Shengxin Cindy Zha and Chen Zhao and Ziwei Zhao and Zhifan Zhu and Jeff Zhuo and Pablo Arbelaez and Gedas Bertasius and David Crandall and Dima Damen and Jakob Engel and Giovanni Maria Farinella and Antonino Furnari and Bernard Ghanem and Judy Hoffman and C. V. Jawahar and Richard Newcombe and Hyun Soo Park and James M. Rehg and Yoichi Sato and Manolis Savva and Jianbo Shi and Mike Zheng Shou and Michael Wray },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2024 }
					}

ZipIt! Merging Models from Different Tasks without Training

George Stoica, Daniel Bolya, Jakob Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman. International Conference on Learning Representations (ICLR), 2024.

PDF Code

					@inproceedings{ 2024_iclr_Stoica },
					  title={ ZipIt! Merging Models from Different Tasks without Training },
					  author={ George Stoica and Daniel Bolya and Jakob Bjorner and Pratik Ramesh and Taylor Hearn and Judy Hoffman },
					  booktitle={ International Conference on Learning Representations (ICLR) },
					  year={ 2024 }
					}

Window Attention is Bugged: How not to Interpolate Position Embeddings

Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer. International Conference on Learning Representations (ICLR), 2024.

PDF

					@inproceedings{ 2024_iclr_Bolya },
					  title={ Window Attention is Bugged: How not to Interpolate Position Embeddings },
					  author={ Daniel Bolya and Chaitanya Ryali and Judy Hoffman and Christoph Feichtenhofer },
					  booktitle={ International Conference on Learning Representations (ICLR) },
					  year={ 2024 }
					}

AUGCAL: Sim-to-Real Adaptation by Improving Uncertainty Calibration on Augmented Synthetic Images

Prithvijit Chattopadhyay, Bharat Goyal, Bogi Ecsedi, Viraj Prabhu, Judy Hoffman. International Conference on Learning Representations (ICLR), 2024.

PDF

					@inproceedings{ 2024_iclr_Chattopadhyay },
					  title={ AUGCAL: Sim-to-Real Adaptation by Improving Uncertainty Calibration on Augmented Synthetic Images },
					  author={ Prithvijit Chattopadhyay and Bharat Goyal and Bogi Ecsedi and Viraj Prabhu and Judy Hoffman },
					  booktitle={ International Conference on Learning Representations (ICLR) },
					  year={ 2024 }
					}

2023

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman. Neural Information Processing Systems (NeurIPS), 2023.

PDF Code Project

					@inproceedings{ 2023_neurips_Prabhu },
					  title={ LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images },
					  author={ Viraj Prabhu and Sriram Yenamandra and Prithvijit Chattopadhyay and Judy Hoffman },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2023 }
					}

Press: GT Article, TechXplore

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Vision Tasks

Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithivijit Chattopadhyay, Adrien Bardes, Mark Ibrahim, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein. Neural Information Processing Systems (NeurIPS), 2023.

PDF Code

					@inproceedings{ 2023_neurips_Goldblum },
					  title={ Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Vision Tasks },
					  author={ Micah Goldblum and Hossein Souri and Renkun Ni and Manli Shu and Viraj Prabhu and Gowthami Somepalli and Prithivijit Chattopadhyay and Adrien Bardes and Mark Ibrahim and Judy Hoffman and Rama Chellappa and Andrew Gordon Wilson and Tom Goldstein },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2023 }
					}

Benchmarking Low-Shot Robustness to Natural Distribution Shifts

Aaditya Singh*, Kartik Sarangmath*, Prithvijit Chattopadhyay, Judy Hoffman. IEEE/CVF International Conference in Computer Vision (ICCV), 2023.

PDF Code

					@inproceedings{ 2023_iccv_Singh* },
					  title={ Benchmarking Low-Shot Robustness to Natural Distribution Shifts },
					  author={ Aaditya Singh* and Kartik Sarangmath* and Prithvijit Chattopadhyay and Judy Hoffman },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2023 }
					}

PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

Prithvijit Chattopadhyay*, Kartik Sarangmath*, Vivek Vijaykumar, Judy Hoffman. IEEE/CVF International Conference in Computer Vision (ICCV), 2023.

PDF Code

					@inproceedings{ 2023_iccv_Chattopadhyay* },
					  title={ PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization },
					  author={ Prithvijit Chattopadhyay* and Kartik Sarangmath* and Vivek Vijaykumar and Judy Hoffman },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2023 }
					}

FACTS: First Amplify Correlations and Then Slice to Discover Bias

Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman. IEEE/CVF International Conference in Computer Vision (ICCV), 2023.

PDF Code

					@inproceedings{ 2023_iccv_Yenamandra },
					  title={ FACTS: First Amplify Correlations and Then Slice to Discover Bias },
					  author={ Sriram Yenamandra and Pratik Ramesh and Viraj Prabhu and Judy Hoffman },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2023 }
					}

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau. ACM International Conference on Information and Knowledge Management (CIKM), 2023.

PDF Code

					@inproceedings{ 2023_cikm_Park },
					  title={ Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries },
					  author={ Haekyu Park and Seongmin Lee and Benjamin Hoover and Austin P. Wright and Omar Shaikh and Rahul Duggal and Nilaksh Das and Kevin Li and Judy Hoffman and Duen Horng Chau },
					  booktitle={ ACM International Conference on Information and Knowledge Management (CIKM) },
					  year={ 2023 }
					}

Token Merging for Fast Stable Diffusion

Daniel Bolya, Judy Hoffman. CVPR Workshop on Efficient Deep Learning for Computer Vision, 2023.

Oral Presentation

PDF Code

					@inproceedings{ 2023_cvprw-ecv_Bolya },
					  title={ Token Merging for Fast Stable Diffusion },
					  author={ Daniel Bolya and Judy Hoffman },
					  booktitle={ CVPR Workshop on Efficient Deep Learning for Computer Vision },
					  year={ 2023 }
					}

ICON2: Reliably Benchmarking Predictive Inequity in Object Detection

Sruthi Sudhakar, Viraj Uday Prabhu, Olga Russakovsky, Judy Hoffman. CVPR Workshop on Secure and Safe Autonomous Driving (SSAD), 2023.

PDF

					@inproceedings{ 2023_cvprw-ssad_Sudhakar },
					  title={ ICON2: Reliably Benchmarking Predictive Inequity in Object Detection },
					  author={ Sruthi Sudhakar and Viraj Uday Prabhu and Olga Russakovsky and Judy Hoffman },
					  booktitle={ CVPR Workshop on Secure and Safe Autonomous Driving (SSAD) },
					  year={ 2023 }
					}

New Signed Binary Weight Networks

Sachit Kuhar, Alexey Tumanov, Judy Hoffman. 3rd On-Device Intelligence Workshop at MLSys, 2023.

					@inproceedings{ 2023_mlsysw-ondevice_Kuhar },
					  title={ Signed Binary Weight Networks },
					  author={ Sachit Kuhar and Alexey Tumanov and Judy Hoffman },
					  booktitle={ 3rd On-Device Intelligence Workshop at MLSys },
					  year={ 2023 }
					}

Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances

Arun Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil Katyal, Dinesh Manocha, Celso de Melo, Rama Chellappa. International Conference in Robotics and Automation (ICRA), 2023.

PDF Code

					@inproceedings{ 2023_icra_Reddy },
					  title={ Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances },
					  author={ Arun Reddy and Ketul Shah and William Paul and Rohita Mocharla and Judy Hoffman and Kapil Katyal and Dinesh Manocha and Celso de Melo and Rama Chellappa },
					  booktitle={ International Conference in Robotics and Automation (ICRA) },
					  year={ 2023 }
					}

Token Merging: Your ViT But Faster

Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman. International Conference on Learning Representations (ICLR), 2023.

Notable Top 5%

PDF Code

					@inproceedings{ 2023_iclr_Bolya },
					  title={ Token Merging: Your ViT But Faster },
					  author={ Daniel Bolya and Cheng-Yang Fu and Xiaoliang Dai and Peizhao Zhang and Christoph Feichtenhofer and Judy Hoffman },
					  booktitle={ International Conference on Learning Representations (ICLR) },
					  year={ 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. International Conference in Machine Learning (ICML), 2023.

Oral Presentation

PDF Code

					@inproceedings{ 2023_icml_Ryali* },
					  title={ Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles },
					  author={ Chaitanya Ryali* and Yuan-Ting Hu* and Daniel Bolya* and Chen Wei and Haoqi Fan and Po-Yao Huang and Vaibhav Aggarwal and Arkabandhu Chowdhury and Omid Poursaeed and Judy Hoffman and Jitendra Malik and Yanghao Li and Christoph Feichtenhofer },
					  booktitle={ International Conference in Machine Learning (ICML) },
					  year={ 2023 }
					}

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation

Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira. IEEE/CVF Winter Conference on Applications in Computer Vision (WACV), 2023.

PDF

					@inproceedings{ 2023_wacv_Kuo },
					  title={ Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation },
					  author={ Chia-Wen Kuo and Chih-Yao Ma and Judy Hoffman and Zsolt Kira },
					  booktitle={ IEEE/CVF Winter Conference on Applications in Computer Vision (WACV) },
					  year={ 2023 }
					}

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting

Viraj Prabhu, David Acuna, Yuan-Hong Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas. Transactions on Machine Learning Research (TMLR), 2023.

PDF

					@inproceedings{ 2023_tmlr_Prabhu },
					  title={ Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting },
					  author={ Viraj Prabhu and David Acuna and Yuan-Hong Liao and Rafid Mahmood and Marc T. Law and Judy Hoffman and Sanja Fidler and James Lucas },
					  booktitle={ Transactions on Machine Learning Research (TMLR) },
					  year={ 2023 }
					}

2022

Bi-Directional Self-Attention for Vision Transformers

George Stoica, Taylor Hearn, Bhavika Devnani, Judy Hoffman. NeurIPS Workshop on Vision Transformers Theory and Applications, 2022.

Best Paper Award

PDF

					@inproceedings{ 2022_neurips-vtta-workshop_Stoica },
					  title={ Bi-Directional Self-Attention for Vision Transformers },
					  author={ George Stoica and Taylor Hearn and Bhavika Devnani and Judy Hoffman },
					  booktitle={ NeurIPS Workshop on Vision Transformers Theory and Applications },
					  year={ 2022 }
					}

ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings

Arjun Majumdar*, Gunjan Aggarwal*, Bhavika Devnani, Judy Hoffman, Dhruv Batra. Neural Information Processing Systems (NeurIPS), 2022.

PDF

					@inproceedings{ 2022_neurips_Majumdar* },
					  title={ ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings },
					  author={ Arjun Majumdar* and Gunjan Aggarwal* and Bhavika Devnani and Judy Hoffman and Dhruv Batra },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2022 }
					}

Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency

Viraj Prabhu*, Sriram Yenamandra*, Aaditya Singh, Judy Hoffman. Neural Information Processing Systems (NeurIPS), 2022.

PDF Code

					@inproceedings{ 2022_neurips_Prabhu* },
					  title={ Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency },
					  author={ Viraj Prabhu* and Sriram Yenamandra* and Aaditya Singh and Judy Hoffman },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2022 }
					}

Press: GT CoC

AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation

Viraj Prabhu*, Shivam Khare*, Deeksha Kartik, Judy Hoffman. Workshop on Computer Vision in the Wild, ECCV, 2022.

PDF

					@inproceedings{ 2022_eccvw-cviw_Prabhu* },
					  title={ AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation },
					  author={ Viraj Prabhu* and Shivam Khare* and Deeksha Kartik and Judy Hoffman },
					  booktitle={ Workshop on Computer Vision in the Wild, ECCV },
					  year={ 2022 }
					}

Hydra Attention: Efficient Attention with Many Heads

Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman. ECCV Workshop on Computational Aspects of Deep Learning, 2022.

Best Paper Award

PDF

					@inproceedings{ 2022_eccv-cadl-workshop_Bolya },
					  title={ Hydra Attention: Efficient Attention with Many Heads },
					  author={ Daniel Bolya and Cheng-Yang Fu and Xiaoliang Dai and Peizhao Zhang and Judy Hoffman },
					  booktitle={ ECCV Workshop on Computational Aspects of Deep Learning },
					  year={ 2022 }
					}

Can domain adaptation make object recognition work for everyone?

Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik. Computer Vision and Pattern Recognition (CVPR) L3D Workshop, 2022.

PDF

					@inproceedings{ 2022_cvpr-l3d-workshop_Prabhu },
					  title={ Can domain adaptation make object recognition work for everyone? },
					  author={ Viraj Prabhu and Ramprasaath R. Selvaraju and Judy Hoffman and Nikhil Naik },
					  booktitle={ Computer Vision and Pattern Recognition (CVPR) L3D Workshop },
					  year={ 2022 }
					}

VISCUIT: Visual Auditor for Bias in CNN Image Classifier

Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng (Polo) Chau. Computer Vision and Pattern Recognition (CVPR) Demo Track, 2022.

PDF Project

					@inproceedings{ 2022_cvpr-demo_Lee },
					  title={ VISCUIT: Visual Auditor for Bias in CNN Image Classifier },
					  author={ Seongmin Lee and Zijie J. Wang and Judy Hoffman and Duen Horng (Polo) Chau },
					  booktitle={ Computer Vision and Pattern Recognition (CVPR) Demo Track },
					  year={ 2022 }
					}

2021

Scalable Diverse Model Selection for Accessible Transfer Learning

Daniel Bolya*, Rohit Mittapali*, Judy Hoffman. Neural Information Processing Systems (NeurIPS), 2021.

PDF Code Project Video

					@inproceedings{ 2021_neurips_Bolya* },
					  title={ Scalable Diverse Model Selection for Accessible Transfer Learning },
					  author={ Daniel Bolya* and Rohit Mittapali* and Judy Hoffman },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2021 }
					}

UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models

Arvind Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman. British Machine Vision Conference (BMVC), 2021.

PDF Code Project

					@inproceedings{ 2021_bmvc_Krishnakumar },
					  title={ UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models },
					  author={ Arvind Krishnakumar and Viraj Prabhu and Sruthi Sudhakar and Judy Hoffman },
					  booktitle={ British Machine Vision Conference (BMVC) },
					  year={ 2021 }
					}

Mitigating Bias in Visual Transformers via Targeted Alignment

Sruthi Sudhakar, Viraj Prabhu, Arvind Krishnakumar, Judy Hoffman. British Machine Vision Conference (BMVC), 2021.

PDF Project

					@inproceedings{ 2021_bmvc_Sudhakar },
					  title={ Mitigating Bias in Visual Transformers via Targeted Alignment },
					  author={ Sruthi Sudhakar and Viraj Prabhu and Arvind Krishnakumar and Judy Hoffman },
					  booktitle={ British Machine Vision Conference (BMVC) },
					  year={ 2021 }
					}

Temporal Action Detection with Multi-level Supervision

Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu. IEEE/CVF International Conference in Computer Vision (ICCV), 2021.

					@inproceedings{ 2021_iccv_Shi },
					  title={ Temporal Action Detection with Multi-level Supervision },
					  author={ Baifeng Shi and Qi Dai and Judy Hoffman and Kate Saenko and Trevor Darrell and Huijuan Xu },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2021 }
					}

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman. IEEE/CVF International Conference in Computer Vision (ICCV), 2021.

PDF Project Video

					@inproceedings{ 2021_iccv_Prabhu },
					  title={ Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings },
					  author={ Viraj Prabhu and Arjun Chandrasekaran and Kate Saenko and Judy Hoffman },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2021 }
					}

RobustNav: Towards Benchmarking Robustness in Embodied Navigation

Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Ani Kembhavi. IEEE/CVF International Conference in Computer Vision (ICCV), 2021.

Oral Presentation

PDF Code Project

					@inproceedings{ 2021_iccv_Chattopadhyay },
					  title={ RobustNav: Towards Benchmarking Robustness in Embodied Navigation },
					  author={ Prithvijit Chattopadhyay and Judy Hoffman and Roozbeh Mottaghi and Ani Kembhavi },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2021 }
					}

Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation

Viraj Prabhu, Shivam Khare, Deeksha Karthik, Judy Hoffman. IEEE/CVF International Conference in Computer Vision (ICCV), 2021.

PDF Code Project

					@inproceedings{ 2021_iccv_Prabhu },
					  title={ Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation },
					  author={ Viraj Prabhu and Shivam Khare and Deeksha Karthik and Judy Hoffman },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2021 }
					}

Representation Learning Through Latent Canonicalizations

Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman. IEEE/CVF Winter Conference on Applications in Computer Vision (WACV), 2021.

PDF

					@inproceedings{ 2021_wacv_Litany },
					  title={ Representation Learning Through Latent Canonicalizations },
					  author={ Or Litany and Ari Morcos and Srinath Sridhar and Leonidas Guibas and Judy Hoffman },
					  booktitle={ IEEE/CVF Winter Conference on Applications in Computer Vision (WACV) },
					  year={ 2021 }
					}

2020

Auxiliary Task Reweighting for Minimum-data Learning

Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu. Neural Information Processing Systems (NeurIPS), 2020.

Code Project Video

					@inproceedings{ 2020_neurips_Shi },
					  title={ Auxiliary Task Reweighting for Minimum-data Learning },
					  author={ Baifeng Shi and Judy Hoffman and Kate Saenko and Trevor Darrell and Huijuan Xu },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2020 }
					}

Masked Reconstruction based Self-Supervision for Human Activity Recognition

Harish Haresamudram, Apoorva Beedu, Varun Agrawal, Patrick L Grady, Irfan Essa, Judy Hoffman, Thomas Ploetz. International Symposium on Wearable Computers (ISWC), 2020.

PDF

					@inproceedings{ 2020_iswc_Haresamudram },
					  title={ Masked Reconstruction based Self-Supervision for Human Activity Recognition },
					  author={ Harish Haresamudram and Apoorva Beedu and Varun Agrawal and Patrick L Grady and Irfan Essa and Judy Hoffman and Thomas Ploetz },
					  booktitle={ International Symposium on Wearable Computers (ISWC) },
					  year={ 2020 }
					}

TIDE: A General Toolbox for Identifying Object Detection Errors

Daniel Bolya, Sean Foley, James Hays, Judy Hoffman. European Conference in Computer Vision (ECCV), 2020.

Spotlight Presentation

PDF Code Project Video

					@inproceedings{ 2020_eccv_Bolya },
					  title={ TIDE: A General Toolbox for Identifying Object Detection Errors },
					  author={ Daniel Bolya and Sean Foley and James Hays and Judy Hoffman },
					  booktitle={ European Conference in Computer Vision (ECCV) },
					  year={ 2020 }
					}

Learning to Balance Specificity and Invariance for In and Out of Domain Generalization

Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman. European Conference in Computer Vision (ECCV), 2020.

PDF Code Video

					@inproceedings{ 2020_eccv_Chattopadhyay },
					  title={ Learning to Balance Specificity and Invariance for In and Out of Domain Generalization },
					  author={ Prithvijit Chattopadhyay and Yogesh Balaji and Judy Hoffman },
					  booktitle={ European Conference in Computer Vision (ECCV) },
					  year={ 2020 }
					}

Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses

Fu Lin, Rohit Mittapali, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman. Adversarial Robustness in the Real World (AROW), ECCV, 2020.

Best paper runner up

PDF

					@inproceedings{ 2020_eccv-arow_Lin },
					  title={ Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses },
					  author={ Fu Lin and Rohit Mittapali and Prithvijit Chattopadhyay and Daniel Bolya and Judy Hoffman },
					  booktitle={ Adversarial Robustness in the Real World (AROW), ECCV },
					  year={ 2020 }
					}

Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents

Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh. Conference on Robot Learning (CoRL), 2020.

					@inproceedings{ 2020_corl_Datta },
					  title={ Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents },
					  author={ Samyak Datta and Oleksandr Maksymets and Judy Hoffman and Stefan Lee and Dhruv Batra and Devi Parikh },
					  booktitle={ Conference on Robot Learning (CoRL) },
					  year={ 2020 }
					}

Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets

Yogesh Balaji, Tom Goldstein, Judy Hoffman. arXiv, 2020.

PDF Code

					@inproceedings{ 2020_arXiv_Balaji },
					  title={ Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets },
					  author={ Yogesh Balaji and Tom Goldstein and Judy Hoffman },
					  booktitle={ arXiv },
					  year={ 2020 }
					}

Multiple-Source Adaptation Theory and Algorithms

Ningshan Zhang, Mehryar Mohri, Judy Hoffman. Annals of Mathematics and Artificial Intelligence, 2020.

PDF

					@inproceedings{ 2020_amai_Zhang },
					  title={ Multiple-Source Adaptation Theory and Algorithms },
					  author={ Ningshan Zhang and Mehryar Mohri and Judy Hoffman },
					  booktitle={ Annals of Mathematics and Artificial Intelligence },
					  year={ 2020 }
					}

2019

Robust Learning with Jacobian Regularization

Judy Hoffman, Daniel A. Roberts, Sho Yaida. , 2019.

PDF Code

					@inproceedings{ 2019_Conference on the Mathematical Theory of Deep Learning (DeepMath)_Hoffman },
					  title={ Robust Learning with Jacobian Regularization },
					  author={ Judy Hoffman and Daniel A. Roberts and Sho Yaida },
					  booktitle={  },
					  year={ 2019 }
					}

SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation

Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra. IEEE/CVF International Conference in Computer Vision (ICCV), 2019.

PDF Code

					@inproceedings{ 2019_iccv_Gordon },
					  title={ SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation },
					  author={ Daniel Gordon and Abhishek Kadian and Devi Parikh and Judy Hoffman and Dhruv Batra },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2019 }
					}

Predictive Inequity in Object Detection

Benjamin Wilson, Judy Hoffman, Jamie Morgenstern. , 2019.

PDF Code

					@inproceedings{ 2019_Workshop on Fairness Accountability Transparency and Ethics in Computer Vision at CVPR_Wilson },
					  title={ Predictive Inequity in Object Detection },
					  author={ Benjamin Wilson and Judy Hoffman and Jamie Morgenstern },
					  booktitle={  },
					  year={ 2019 }
					}

Press: Vox, Business Insider, The Guardian, NBC News

2018

Algorithms and Theory for Multiple-Source Adaptation

Judy Hoffman, Mehryar Mohri, Ningshan Zhang. Neural Information Processing Systems (NeurIPS), 2018.

PDF

					@inproceedings{ 2018_nips_Hoffman },
					  title={ Algorithms and Theory for Multiple-Source Adaptation },
					  author={ Judy Hoffman and Mehryar Mohri and Ningshan Zhang },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2018 }
					}

Adapting to Continuously Shifting Domains

Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell. International Conference on Learning Representations (ICLR) Workshop Track, 2018.

PDF

					@inproceedings{ 2018_iclrw_Bobu },
					  title={ Adapting to Continuously Shifting Domains },
					  author={ Andreea Bobu and Eric Tzeng and Judy Hoffman and Trevor Darrell },
					  booktitle={ International Conference on Learning Representations (ICLR) Workshop Track },
					  year={ 2018 }
					}

CyCADA: Cycle Consistent Adversarial Domain Adaptation

Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alyosha Efros, Trevor Darrell. International Conference in Machine Learning (ICML), 2018.

PDF Slides Code

					@inproceedings{ 2018_icml_Hoffman },
					  title={ CyCADA: Cycle Consistent Adversarial Domain Adaptation },
					  author={ Judy Hoffman and Eric Tzeng and Taesung Park and Jun-Yan Zhu and Phillip Isola and Kate Saenko and Alyosha Efros and Trevor Darrell },
					  booktitle={ International Conference in Machine Learning (ICML) },
					  year={ 2018 }
					}

Scaling Human-Object Interaction Recognition through Zero-Shot Learning

Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei. IEEE/CVF Winter Conference on Applications in Computer Vision (WACV), 2018.

PDF

					@inproceedings{ 2018_wacv_Shen },
					  title={ Scaling Human-Object Interaction Recognition through Zero-Shot Learning },
					  author={ Liyue Shen and  Serena Yeung and Judy Hoffman and  Greg Mori and  Li Fei-Fei },
					  booktitle={ IEEE/CVF Winter Conference on Applications in Computer Vision (WACV) },
					  year={ 2018 }
					}

2017

Label Efficient Learning of Transferable Representations across Domains and Tasks

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei. Neural Information Processing Systems (NeurIPS), 2017.

PDF Project

					@inproceedings{ 2017_neurips_Luo },
					  title={ Label Efficient Learning of Transferable Representations across Domains and Tasks },
					  author={ Zelun Luo and  Yuliang Zou and Judy Hoffman and  Li Fei-Fei },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 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. IEEE/CVF International Conference in Computer Vision (ICCV), 2017.

Oral Presentation

PDF Code Project

					@inproceedings{ 2017_iccv_Johnson },
					  title={ Inferring and Executing Programs for Visual Reasoning },
					  author={ Justin Johnson and  Bharath Hariharan and  Laurens van der Maaten and Judy Hoffman and  Li Fei-Fei and  C. Lawrence Zitnick and  Ross Girshick },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2017 }
					}

Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach

Timnit Gebru, Judy Hoffman, Li Fei-Fei. IEEE/CVF International Conference in Computer Vision (ICCV), 2017.

PDF

					@inproceedings{ 2017_iccv_Gebru },
					  title={ Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach },
					  author={ Timnit Gebru and Judy Hoffman and  Li Fei-Fei },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2017 }
					}

Adversarial Discriminative Domain Adaptation

Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2017.

PDF Code

					@inproceedings{ 2017_cvpr_Tzeng },
					  title={ Adversarial Discriminative Domain Adaptation },
					  author={ Eric Tzeng and Judy Hoffman and  Trevor Darrell and  Kate Saenko },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2017 }
					}

2016

Adapting deep visuomotor representations with weak pairwise constraints

Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell. Workshop on Algorithmic Foundations in Robotics (WAFR), 2016.

PDF

					@inproceedings{ 2016_wafr_Tzeng },
					  title={ Adapting deep visuomotor representations with weak pairwise constraints },
					  author={ Eric Tzeng and  Coline Devin and Judy Hoffman and  Chelsea Finn and  Pieter Abbeel and  Sergey Levine and  Kate Saenko and  Trevor Darrell },
					  booktitle={ Workshop on Algorithmic Foundations in Robotics (WAFR) },
					  year={ 2016 }
					}

Clockwork Convnets for Video Semantic Segmentation

Evan Shelhamer*, Kate Rakelly*, Judy Hoffman*, Trevor Darrell. Video Semantic Segmentation Workshop at European Conference in Computer Vision, 2016.

PDF

					@inproceedings{ 2016_eccv-workshop-ss_Shelhamer* },
					  title={ Clockwork Convnets for Video Semantic Segmentation },
					  author={ Evan Shelhamer* and  Kate Rakelly* and Judy Hoffman* and  Trevor Darrell },
					  booktitle={ Video Semantic Segmentation Workshop at European Conference in Computer Vision },
					  year={ 2016 }
					}

Fine-To-Coarse Knowledge Transfer For Low-Res Image Classification

Xingchao Peng, Judy Hoffman, Stella Yu, Kate Saenko. International Conference on Image Processing (ICIP), 2016.

PDF

					@inproceedings{ 2016_icip_Peng },
					  title={ Fine-To-Coarse Knowledge Transfer For Low-Res Image Classification },
					  author={ Xingchao Peng and Judy Hoffman and  Stella Yu and  Kate Saenko },
					  booktitle={ International Conference on Image Processing (ICIP) },
					  year={ 2016 }
					}

Learning with Side Information through Modality Hallucination

Judy Hoffman, Saurabh Gupta, Trevor Darrell. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2016.

Spotlight Presentation

PDF Slides

					@inproceedings{ 2016_cvpr_Hoffman },
					  title={ Learning with Side Information through Modality Hallucination },
					  author={ Judy Hoffman and  Saurabh Gupta and  Trevor Darrell },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2016 }
					}

Cross Modal Distillation for Supervision Transfer

Saurabh Gupta, Judy Hoffman, Jitendra Malik. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2016.

PDF Code

					@inproceedings{ 2016_cvpr_Gupta },
					  title={ Cross Modal Distillation for Supervision Transfer },
					  author={ Saurabh Gupta and Judy Hoffman and  Jitendra Malik },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2016 }
					}

Cross-Modal Adaptation for RGB-D Detection

Judy Hoffman, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell. International Conference in Robotics and Automation (ICRA), 2016.

PDF Slides

					@inproceedings{ 2016_icra_Hoffman },
					  title={ Cross-Modal Adaptation for RGB-D Detection },
					  author={ Judy Hoffman and  Saurabh Gupta and Jian Leong and  Sergio Guadarrama and  Trevor Darrell },
					  booktitle={ International Conference in Robotics and Automation (ICRA) },
					  year={ 2016 }
					}

2015

Quantification in-the-wild: data-sets and baselines

Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel Gonzlez-Rivero, Ove Hoegh-Guldberg. Transfer and Multi-Task Learning: Trends and New Perspectives, Workshop at NeurIPS, 2015.

PDF

					@inproceedings{ 2015_nipsw-multitask_Beijbom },
					  title={ Quantification in-the-wild: data-sets and baselines },
					  author={ Oscar Beijbom and Judy Hoffman and Evan Yao and  Trevor Darrell and Alberto Rodriguez-Ramirez and Manuel Gonzlez-Rivero and Ove Hoegh-Guldberg },
					  booktitle={ Transfer and Multi-Task Learning: Trends and New Perspectives, Workshop at NeurIPS },
					  year={ 2015 }
					}

Simultaneous Deep Transfer Across Domains and Tasks

Eric Tzeng*, Judy Hoffman*, Trevor Darrell, Kate Saenko . IEEE/CVF International Conference in Computer Vision (ICCV), 2015.

PDF Code

					@inproceedings{ 2015_iccv_Tzeng* },
					  title={ Simultaneous Deep Transfer Across Domains and Tasks },
					  author={ Eric Tzeng* and Judy Hoffman* and  Trevor Darrell and  Kate Saenko  },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2015 }
					}

Spatial Semantic Regularisation for Large Scale Object Detection

Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell. IEEE/CVF International Conference in Computer Vision (ICCV), 2015.

PDF

					@inproceedings{ 2015_iccv_Mrowca },
					  title={ Spatial Semantic Regularisation for Large Scale Object Detection },
					  author={ Damian Mrowca and  Marcus Rohrbach and Judy Hoffman and Ronghang Hu and  Kate Saenko and  Trevor Darrell },
					  booktitle={ IEEE/CVF International Conference in Computer Vision (ICCV) },
					  year={ 2015 }
					}

Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning

Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2015.

PDF

					@inproceedings{ 2015_cvpr_Hoffman },
					  title={ Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning },
					  author={ Judy Hoffman and  Deepak Pathak and  Trevor Darrell and  Kate Saenko },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2015 }
					}

2014

LSDA: Large Scale Detection through Adaptation

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko. Neural Information Processing Systems (NeurIPS), 2014.

PDF Slides Project

					@inproceedings{ 2014_nips_Hoffman },
					  title={ LSDA: Large Scale Detection through Adaptation },
					  author={ Judy Hoffman and  Sergio Guadarrama and  Eric Tzeng and  Ronghang Hu and  Jeff Donahue and  Ross Girshick and  Trevor Darrell and  Kate Saenko },
					  booktitle={ Neural Information Processing Systems (NeurIPS) },
					  year={ 2014 }
					}

Continuous Manifold Based Adaptation for Evolving Visual Domains

Judy Hoffman, Trevor Darrell, Kate Saenko. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2014.

PDF Project Video

					@inproceedings{ 2014_cvpr_Hoffman },
					  title={ Continuous Manifold Based Adaptation for Evolving Visual Domains },
					  author={ Judy Hoffman and  Trevor Darrell and  Kate Saenko },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2014 }
					}

Interactive Adaptation of Real-Time Object Detectors

Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell. International Conference in Robotics and Automation (ICRA), 2014.

PDF Project

					@inproceedings{ 2014_icra_Goehring },
					  title={ Interactive Adaptation of Real-Time Object Detectors },
					  author={ Daniel Goehring and Judy Hoffman and  Erik Rodner and  Kate Saenko and  Trevor Darrell },
					  booktitle={ International Conference in Robotics and Automation (ICRA) },
					  year={ 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. International Conference in Machine Learning (ICML), 2014.

PDF Code

					@inproceedings{ 2014_icml_Donahue },
					  title={ DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition },
					  author={ Jeff Donahue and Yangqing Jia and Oriol Vinyals and Judy Hoffman and Ning Zhang and Eric Tzeng and Trevor Darrell },
					  booktitle={ International Conference in Machine Learning (ICML) },
					  year={ 2014 }
					}

2013

Semi-Supervised Domain Adaptation with Instance Constraints

Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2013.

PDF

					@inproceedings{ 2013_cvpr_Donahue },
					  title={ Semi-Supervised Domain Adaptation with Instance Constraints },
					  author={ Jeff Donahue and Judy Hoffman and  Erik Rodner and  Kate Saenko and  Trevor Darrell },
					  booktitle={ IEEE/CVF Computer Vision and Pattern Recognition (CVPR) },
					  year={ 2013 }
					}

Efficient Learning of Domain-invariant Image Representations

Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell. International Conference on Learning Representations (ICLR), 2013.

Oral Presentation

PDF Slides Code

					@inproceedings{ 2013_iclr_Hoffman },
					  title={ Efficient Learning of Domain-invariant Image Representations },
					  author={ Judy Hoffman and  Erik Rodner and  Jeff Donahue and  Kate Saenko and  Trevor Darrell },
					  booktitle={ International Conference on Learning Representations (ICLR) },
					  year={ 2013 }
					}

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation

Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko. International Journal in Computer Vision (IJCV), 2013.

PDF

					@inproceedings{ 2013_ijcv_Hoffman },
					  title={ Asymmetric and Category Invariant Feature Transformations for Domain Adaptation },
					  author={ Judy Hoffman and  Erik Rodner and  Jeff Donahue and  Brian Kulis and  Kate Saenko },
					  booktitle={ International Journal in Computer Vision (IJCV) },
					  year={ 2013 }
					}

2012

Weakly Supervised Learning of Object Segmentations from Web-Scale Video

Glen Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan Essa, James Rehg, Rahul Sukthankar. , 2012.

Best Paper Award

PDF

					@inproceedings{ 2012_eccvw-webscale_Hartmann },
					  title={ Weakly Supervised Learning of Object Segmentations from Web-Scale Video },
					  author={ Glen Hartmann and Matthias Grundmann and Judy Hoffman and David Tsai and Vivek Kwatra and Omid Madani and Sudheendra Vijayanarasimhan and Irfan Essa and James Rehg and Rahul Sukthankar },
					  booktitle={  },
					  year={ 2012 }
					}

Discovering Latent Domains For Multisource Domain Adaptation

Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko. European Conference in Computer Vision (ECCV), 2012.

PDF Slides Code Video

					@inproceedings{ 2012_eccv_Hoffman },
					  title={ Discovering Latent Domains For Multisource Domain Adaptation },
					  author={ Judy Hoffman and  Brian Kulis and Trevor Darrell and Kate Saenko },
					  booktitle={ European Conference in Computer Vision (ECCV) },
					  year={ 2012 }
					}

2011

Domain Adaptation with Multiple Latent Domains

Judy Hoffman, Kate Saenko, Brian Kulis, Trevor Darrell. Domain Adaptation Workshop at Neural Information Processing Symposium (NeurIps), 2011.

Best Student Paper Award

					@inproceedings{ 2011_nipsw-da_Hoffman },
					  title={ Domain Adaptation with Multiple Latent Domains },
					  author={ Judy Hoffman and Kate Saenko and Brian Kulis and Trevor Darrell },
					  booktitle={ Domain Adaptation Workshop at Neural Information Processing Symposium (NeurIps) },
					  year={ 2011 }
					}

EG-RRT: Environment-Guided Random Trees for Kinodynamic Motion Planning with Uncertainty and Obstacles

Leonard Jaillet, Judy Hoffman, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Ken Goldberg. International Conference on Intelligent Robotics and Systems (IROS), 2011.

PDF

					@inproceedings{ 2011_iros_Jaillet },
					  title={ EG-RRT: Environment-Guided Random Trees for Kinodynamic Motion Planning with Uncertainty and Obstacles },
					  author={ Leonard Jaillet and Judy Hoffman and Jur van den Berg and Pieter Abbeel and Josep M. Porta and Ken Goldberg },
					  booktitle={ International Conference on Intelligent Robotics and Systems (IROS) },
					  year={ 2011 }
					}