🧑‍🔬 Judy Hoffman

🏛️ Affiliations

🎓Georgia Institute of TechnologyAtlanta · United States2019–2026 · 47 papersEmploymentcurrent🎓University of California, IrvineIrvine · United States2025–2026 · 3 papersEmployment since 2026 · Associate Professor, Computer Sciencecurrent🎓University of California, BerkeleyBerkeley · United States2011–2021 · 34 papersEducation until 2016🔬International Computer Science InstituteBerkeley · United States2012–2015 · 6 papers🎓Stanford UniversityStanford · United States2017–2018 · 5 papers🏢MetaMenlo Park · United States2019 · 2 papers

🏛️Georgia Institute of Technology College of ComputingAtlanta · United States2019–2025Employment 2019–2025

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013 · 3,463 citations)
   The paper asks whether the internal activations of a large convolutional network, trained with full supervision on ImageNet object classes, can serve as a ready-made image descriptor for different vision problems that lack enough data to train deep models.
2. Inferring and Executing Programs for Visual Reasoning (2017 · 557 citations)
   Visual question answering systems usually learn a direct mapping from image and question to answer. Such black-box models tend to exploit dataset biases instead of actually reasoning. The authors argue that compositional reasoning should be built into the model's structure, and they split the task into two learned…

All works

42 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

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

See all 42 works by Judy Hoffman →

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Bharath Hariharan
• C. Lawrence Zitnick
• Jeff Donahue
• Justin M. Johnson
• Laurens van der Maaten
• Li Fei-Fei
• Ning Zhang
• Oriol Vinyals
• Ross Girshick
• Trevor Jackson Darrell
• Yangqing Jia

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×6
• Lecture notes in computer science ×4
• IEEE International Conference on Computer Vision (ICCV) ×3: ICCV 2017
• IEEE/CVF International Conference on Computer Vision (ICCV) ×3
• International Conference on Learning Representations ×2
• Proceedings - IEEE International Conference on Robotics and Automation/Proceedings ×2
• Advances in computer vision and pattern recognition
• Springer proceedings in advanced robotics
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 754 times (of the 149,439 papers whose bibliographies we read); 52 citing papers with a page here →.

Updated 2 November 2026

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