🧑‍🔬 Judy Hoffman — all works

42 works · ← Judy Hoffman

1. Adversarial Discriminative Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetEric Tzeng et al.2017 · 4,938 citations
2. DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionarXiv:1310.1531Jeff Donahue, Yangqing Jia, Oriol Vinyals, et al.2013 · 3,463 citations
3. Deep Domain Confusion: Maximizing for Domain Invariance ↗arXiv (Cornell University) · no summary yetEric Tzeng et al.2014 · 2,210 citations
4. Simultaneous Deep Transfer Across Domains and Tasks ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetEric Tzeng et al.2015 · 1,152 citations
5. CyCADA: Cycle-Consistent Adversarial Domain Adaptation ↗arXiv (Cornell University) · no summary yetJudy Hoffman et al.2017 · 680 citations
6. FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation ↗arXiv (Cornell University) · no summary yetJudy Hoffman et al.2016 · 627 citations
7. Inferring and Executing Programs for Visual ReasoningIEEE International Conference on Computer Vision (ICCV)Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2017 · 557 citations
8. Cross Modal Distillation for Supervision Transfer ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSaurabh Gupta, Judy Hoffman, Jitendra Malik2016 · 534 citations
9. Simultaneous Deep Transfer Across Domains and Tasks ↗Advances in computer vision and pattern recognition · no summary yetJudy Hoffman et al.2017 · 254 citations
10. Learning with Side Information through Modality Hallucination ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJudy Hoffman, Saurabh Gupta, Trevor Jackson Darrell2016 · 216 citations
11. Clockwork Convnets for Video Semantic Segmentation ↗Lecture notes in computer science · no summary yetEvan Shelhamer et al.2016 · 204 citations
12. Semi-supervised Domain Adaptation with Instance Constraints ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJeff Donahue et al.2013 · 190 citations
13. LSDA: Large Scale Detection Through Adaptation ↗arXiv (Cornell University) · no summary yetJudy Hoffman et al.2014 · 185 citations
14. Discovering Latent Domains for Multisource Domain Adaptation ↗Lecture notes in computer science · no summary yetJudy Hoffman et al.2012 · 174 citations
15. Efficient Learning of Domain-invariant Image Representations ↗arXiv (Cornell University) · no summary yetJudy Hoffman et al.2013 · 153 citations
16. Continuous Manifold Based Adaptation for Evolving Visual Domains ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJudy Hoffman, Trevor Jackson Darrell, Kate Saenko2014 · 135 citations
17. Adapting Deep Visuomotor Representations with Weak Pairwise Constraints ↗Springer proceedings in advanced robotics · no summary yetEric Tzeng et al.2015 · 124 citations
18. Best Practices for Fine-Tuning Visual Classifiers to New Domains ↗Lecture notes in computer science · no summary yetBrian Chu et al.2016 · 123 citations
19. Cross-modal adaptation for RGB-D detection ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetJudy Hoffman et al.2016 · 82 citations
20. Detector discovery in the wild: Joint multiple instance and representation learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJudy Hoffman et al.2015 · 78 citations
21. One-Shot Adaptation of Supervised Deep Convolutional Models ↗arXiv (Cornell University) · no summary yetJudy Hoffman et al.2013 · 67 citations
22. SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetDaniel Gordon et al.2019 · 63 citations
23. Adapting to Continuously Shifting Domains ↗International Conference on Learning Representations · no summary yetAndreea Bobu et al.2018 · 46 citations
24. Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents ↗arXiv (Cornell University) · no summary yetSamyak Datta et al.2020 · 21 citations
25. Spatial Semantic Regularisation for Large Scale Object Detection ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetDamian Mrowca et al.2015 · 19 citations
26. Auxiliary Task Reweighting for Minimum-data Learning ↗arXiv (Cornell University) · no summary yetBaifeng Shi et al.2020 · 16 citations
27. Temporal Action Detection with Multi-level Supervision ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetBaifeng Shi et al.2021 · 15 citations
28. Quantification in-the-wild: data-sets and baselines ↗arXiv (Cornell University) · no summary yetOscar Beijbom et al.2015 · 15 citations
29. Interactive adaptation of real-time object detectors ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetDaniel Goehring et al.2014 · 15 citations
30. Contrastive Flow Matching ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetGeorge Stoica et al.2025 · 11 citations
31. Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations ↗arXiv (Cornell University) · no summary yetErik Rodner et al.2013 · 9 citations
32. Adversarial Discriminative Domain Adaptation (workshop extended abstract). ↗International Conference on Learning Representations · no summary yetEric Tzeng et al.2017 · 7 citations
33. Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors ↗neural information processing systems · no summary yetAnisha Pal et al.2024 · 2 citations
34. From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach ↗no summary yetJudy Hoffman et al.2014 · 2 citations
35. Posterior Augmented Flow Matching ↗Lecture notes in computer science · no summary yetGeorge Stoica et al.2026
36. Max-margin transforms for visual domain adaptation ↗no summary yetJudy Hoffman et al.2015
37. Scalable Transform-based Domain Adaptation ↗no summary yetErik Rodner et al.2015
38. Transform-based Domain Adaptation for Big Data ↗no summary yetErik Rodner et al.2015
39. PROBLEM ADAPTATION METHODS DA WITH CORRESPONDENCES DETECTION ↗no summary yetJeff Donahue et al.2014
40. K.: LSDA: Large scale detection through adaptation ↗no summary yetJudy Hoffman et al.2014
41. One-shot adaptation of supervised deep convolutional models. arXiv ↗no summary yetJudy Hoffman et al.2013
42. permission. Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations ↗no summary yetErik Rodner et al.2013

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