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2020 – today
- 2024
[j6]Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Prabhu:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. Trans. Mach. Learn. Res. 2024 (2024)- [c66]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:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400 - [c65]Sahil Khose
, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay:
SKYSCENES: A Synthetic Dataset for Aerial Scene Understanding. ECCV (79) 2024: 19-35 - [c64]Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer:
Window Attention is Bugged: How not to Interpolate Position Embeddings. ICLR 2024 - [c63]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. ICLR 2024 - [c62]George Stoica, Daniel Bolya, Jakob Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman:
ZipIt! Merging Models from Different Tasks without Training. ICLR 2024 - [i67]Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. CoRR abs/2402.00868 (2024) - [i66]George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman:
Model merging with SVD to tie the Knots. CoRR abs/2410.19735 (2024) - [i65]Simar Kareer, Dhruv Patel, Ryan Punamiya, Pranay Mathur, Shuo Cheng, Chen Wang, Judy Hoffman, Danfei Xu:
EgoMimic: Scaling Imitation Learning via Egocentric Video. CoRR abs/2410.24221 (2024) - 2023
- [j5]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - [c61]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau:
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM 2023: 2044-2054 - [c60]Daniel Bolya, Judy Hoffman:
Token Merging for Fast Stable Diffusion. CVPR Workshops 2023: 4599-4603 - [c59]Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman:
FACTS: First Amplify Correlations and Then Slice to Discover Bias. ICCV 2023: 4771-4781 - [c58]Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman:
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. ICCV 2023: 16186-16196 - [c57]Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. ICCV 2023: 19231-19243 - [c56]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman:
Token Merging: Your ViT But Faster. ICLR 2023 - [c55]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:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML 2023: 29441-29454 - [c54]Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. ICRA 2023: 11374-11381 - [c53]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:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS 2023 - [c52]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. NeurIPS 2023 - [c51]Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira:
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. WACV 2023: 1104-1113 - [i64]Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman:
Mitigating Bias in Visual Transformers via Targeted Alignment. CoRR abs/2302.04358 (2023) - [i63]Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - [i62]Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. CoRR abs/2303.10280 (2023) - [i61]Daniel Bolya, Judy Hoffman:
Token Merging for Fast Stable Diffusion. CoRR abs/2303.17604 (2023) - [i60]Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman:
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. CoRR abs/2304.11263 (2023) - [i59]George Stoica, Daniel Bolya, Jakob Bjorner, Taylor Hearn, Judy Hoffman:
ZipIt! Merging Models from Different Tasks without Training. CoRR abs/2305.03053 (2023) - [i58]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. CoRR abs/2305.19164 (2023) - [i57]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:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR abs/2306.00989 (2023) - [i56]Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman:
ICON2: Reliably Benchmarking Predictive Inequity in Object Detection. CoRR abs/2306.04482 (2023) - [i55]Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau:
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR abs/2309.16750 (2023) - [i54]Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman:
FACTS: First Amplify Correlations and Then Slice to Discover Bias. CoRR abs/2309.17430 (2023) - [i53]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:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR abs/2310.19909 (2023) - [i52]Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer:
Window Attention is Bugged: How not to Interpolate Position Embeddings. CoRR abs/2311.05613 (2023) - [i51]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. CoRR abs/2312.06106 (2023) - [i50]Sahil Khose, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay:
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding. CoRR abs/2312.06719 (2023) - 2022
- [j4]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Multiple-source adaptation theory and algorithms - addendum. Ann. Math. Artif. Intell. 90(6): 569-572 (2022) - [c50]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CVPR Workshops 2022: 3980-3987 - [c49]Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau:
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR 2022: 21443-21451 - [c48]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman:
Hydra Attention: Efficient Attention with Many Heads. ECCV Workshops (7) 2022: 35-49 - [c47]Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra:
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS 2022 - [c46]Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman:
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. NeurIPS 2022 - [i49]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau:
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR abs/2203.16475 (2022) - [i48]Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng Chau:
VisCUIT: Visual Auditor for Bias in CNN Image Classifier. CoRR abs/2204.05899 (2022) - [i47]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CoRR abs/2204.11122 (2022) - [i46]Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman:
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. CoRR abs/2206.08222 (2022) - [i45]Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra:
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. CoRR abs/2206.12403 (2022) - [i44]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman:
Hydra Attention: Efficient Attention with Many Heads. CoRR abs/2209.07484 (2022) - [i43]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman:
Token Merging: Your ViT But Faster. CoRR abs/2210.09461 (2022) - [i42]Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira:
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. CoRR abs/2211.11116 (2022) - [i41]Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. CoRR abs/2212.00979 (2022) - 2021
- [j3]Ningshan Zhang, Mehryar Mohri, Judy Hoffman:
Multiple-source adaptation theory and algorithms. Ann. Math. Artif. Intell. 89(3-4): 237-270 (2021) - [c45]Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman:
Mitigating Bias in Visual Transformers via Targeted Alignment. BMVC 2021: 138 - [c44]Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman:
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. BMVC 2021: 143 - [c43]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. ICCV 2021: 8002-8012 - [c42]Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman:
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. ICCV 2021: 8485-8494 - [c41]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. ICCV 2021: 8538-8547 - [c40]Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi:
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. ICCV 2021: 15671-15680 - [c39]Daniel Bolya, Rohit Mittapalli, Judy Hoffman:
Scalable Diverse Model Selection for Accessible Transfer Learning. NeurIPS 2021: 19301-19312 - [c38]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. WACV 2021: 645-654 - [i40]Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi:
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. CoRR abs/2106.04531 (2021) - [i39]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training. CoRR abs/2107.10140 (2021) - [i38]Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman:
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. CoRR abs/2110.15499 (2021) - [i37]Daniel Bolya, Rohit Mittapalli, Judy Hoffman:
Scalable Diverse Model Selection for Accessible Transfer Learning. CoRR abs/2111.06977 (2021) - 2020
- [c37]Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh:
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. CoRL 2020: 313-328 - [c36]Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. ECCV Workshops (1) 2020: 39-54 - [c35]Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman:
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. ECCV (9) 2020: 301-318 - [c34]Daniel Bolya, Sean Foley, James Hays, Judy Hoffman:
TIDE: A General Toolbox for Identifying Object Detection Errors. ECCV (3) 2020: 558-573 - [c33]Harish Haresamudram, Apoorva Beedu, Varun Agrawal, Patrick L. Grady, Irfan A. Essa, Judy Hoffman, Thomas Plötz:
Masked reconstruction based self-supervision for human activity recognition. ISWC 2020: 45-49 - [c32]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS 2020 - [i36]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. CoRR abs/2002.11829 (2020) - [i35]Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos:
Analyzing Visual Representations in Embodied Navigation Tasks. CoRR abs/2003.05993 (2020) - [i34]Daniel Bolya, Sean Foley, James Hays, Judy Hoffman:
TIDE: A General Toolbox for Identifying Object Detection Errors. CoRR abs/2008.08115 (2020) - [i33]Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. CoRR abs/2008.11300 (2020) - [i32]Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman:
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. CoRR abs/2008.12839 (2020) - [i31]Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh:
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. CoRR abs/2009.03231 (2020) - [i30]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. CoRR abs/2010.08244 (2020) - [i29]Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman:
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. CoRR abs/2010.08666 (2020) - [i28]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. CoRR abs/2011.11893 (2020) - [i27]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. CoRR abs/2012.11460 (2020)
2010 – 2019
- 2019
- [c31]Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra:
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. ICCV 2019: 1022-1031 - [i26]Benjamin Wilson, Judy Hoffman, Jamie Morgenstern:
Predictive Inequity in Object Detection. CoRR abs/1902.11097 (2019) - [i25]Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra:
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. CoRR abs/1905.07512 (2019) - [i24]Judy Hoffman, Daniel A. Roberts, Sho Yaida:
Robust Learning with Jacobian Regularization. CoRR abs/1908.02729 (2019) - [i23]Yogesh Balaji, Tom Goldstein, Judy Hoffman:
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets. CoRR abs/1910.08051 (2019) - 2018
- [c30]Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko:
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops 2018: 2021-2026 - [c29]Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell:
Adapting to Continuously Shifting Domains. ICLR (Workshop) 2018 - [c28]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML 2018: 1994-2003 - [c27]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Algorithms and Theory for Multiple-Source Adaptation. NeurIPS 2018: 8256-8266 - [c26]Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei:
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV 2018: 1568-1576 - [i22]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Algorithms and Theory for Multiple-Source Adaptation. CoRR abs/1805.08727 (2018) - [i21]Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko:
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR abs/1806.09755 (2018) - 2017
- [c25]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CVPR 2017: 2962-2971 - [c24]Timnit Gebru, Judy Hoffman, Li Fei-Fei:
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. ICCV 2017: 1358-1367 - [c23]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. ICCV 2017: 3008-3017 - [c22]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation (workshop extended abstract). ICLR (Workshop) 2017 - [c21]Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei:
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks. NIPS 2017: 165-177 - [p1]Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. Domain Adaptation in Computer Vision Applications 2017: 173-187 - [i20]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CoRR abs/1702.05464 (2017) - [i19]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. CoRR abs/1705.03633 (2017) - [i18]Timnit Gebru, Judy Hoffman, Li Fei-Fei:
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach. CoRR abs/1709.02476 (2017) - [i17]Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko:
VisDA: The Visual Domain Adaptation Challenge. CoRR abs/1710.06924 (2017) - [i16]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR abs/1711.03213 (2017) - [i15]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Multiple-Source Adaptation for Regression Problems. CoRR abs/1711.05037 (2017) - [i14]Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei:
Label Efficient Learning of Transferable Representations across Domains and Tasks. CoRR abs/1712.00123 (2017) - 2016
- [j2]Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko:
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17: 142:1-142:31 (2016) - [c20]Judy Hoffman, Saurabh Gupta, Trevor Darrell:
Learning with Side Information through Modality Hallucination. CVPR 2016: 826-834 - [c19]Saurabh Gupta, Judy Hoffman, Jitendra Malik:
Cross Modal Distillation for Supervision Transfer. CVPR 2016: 2827-2836 - [c18]Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell:
Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) 2016: 435-442 - [c17]Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell:
Clockwork Convnets for Video Semantic Segmentation. ECCV Workshops (3) 2016: 852-868 - [c16]Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse knowledge transfer for low-res image classification. ICIP 2016: 3683-3687 - [c15]Judy Hoffman, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell:
Cross-modal adaptation for RGB-D detection. ICRA 2016: 5032-5039 - [c14]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell:
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. WAFR 2016: 688-703 - [i13]Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification. CoRR abs/1605.06695 (2016) - [i12]Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell:
Clockwork Convnets for Video Semantic Segmentation. CoRR abs/1608.03609 (2016) - [i11]Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell:
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. CoRR abs/1612.02649 (2016) - 2015
- [c13]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector discovery in the wild: Joint multiple instance and representation learning. CVPR 2015: 2883-2891 - [c12]Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. ICCV 2015: 2003-2011 - [c11]Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. ICCV 2015: 4068-4076 - [i10]Saurabh Gupta, Judy Hoffman, Jitendra Malik:
Cross Modal Distillation for Supervision Transfer. CoRR abs/1507.00448 (2015) - [i9]Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. CoRR abs/1510.02192 (2015) - [i8]Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. CoRR abs/1510.02949 (2015) - [i7]Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel González-Rivero, Ove Hoegh-Guldberg:
Quantification in-the-wild: data-sets and baselines. CoRR abs/1510.04811 (2015) - [i6]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell:
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR abs/1511.07111 (2015) - 2014
- [j1]Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko:
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation. Int. J. Comput. Vis. 109(1-2): 28-41 (2014) - [c10]Judy Hoffman, Trevor Darrell, Kate Saenko:
Continuous Manifold Based Adaptation for Evolving Visual Domains. CVPR 2014: 867-874 - [c9]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML 2014: 647-655 - [c8]Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Interactive adaptation of real-time object detectors. ICRA 2014: 1282-1289 - [c7]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection through Adaptation. NIPS 2014: 3536-3544 - [c6]Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell:
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) 2014 - [i5]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection Through Adaptation. CoRR abs/1407.5035 (2014) - [i4]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. CoRR abs/1412.1135 (2014) - [i3]Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell:
Deep Domain Confusion: Maximizing for Domain Invariance. CoRR abs/1412.3474 (2014) - 2013
- [c5]Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Semi-supervised Domain Adaptation with Instance Constraints. CVPR 2013: 668-675 - [c4]Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell:
Efficient Learning of Domain-invariant Image Representations. ICLR (Poster) 2013 - [i2]Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko:
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR abs/1308.4200 (2013) - [i1]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR abs/1310.1531 (2013) - 2012
- [c3]Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar:
Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) 2012: 198-208 - [c2]Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko:
Discovering Latent Domains for Multisource Domain Adaptation. ECCV (2) 2012: 702-715 - 2011
- [c1]Leonard Jaillet, Judy Hoffman, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Kenneth Y. Goldberg:
EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles. IROS 2011: 2646-2652
Coauthor Index
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