Judy Hoffman

20.8k citations

48 papers · 7.4k indexed · 4 hit papers · h-index 21

Impact in

Computer Vision and Pattern Recognition top 0.1%
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM

Papers in

Computer Vision and Pattern Recognition 30
- Multimodal Machine Learning Applications 13
- Advanced Neural Network Applications 12
- Advanced Image and Video Retrieval Techniques 12
- Human Pose and Action Recognition 5
Artificial Intelligence 30
- Domain Adaptation and Few-Shot Learning 27
- Adversarial Robustness in Machine Learning 6
- Anomaly Detection Techniques and Applications 3

Co-authors: Trevor Darrell Eric Tzeng Kate Saenko Jeff Donahue Yangqing Jia Oriol Vinyals Ning Zhang Saurabh Gupta
Journals: Atmospheric measurement techniques (1 paper)International Journal of Computer Vision (1 paper)Annals of Mathematics and Artificial Intelligence (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)SID Symposium Digest of Technical Papers (1 paper)
Partner nations: United States Germany France

In The Last Decade

Judy Hoffman

45 papers receiving 7.1k citations

Hit Papers

align trajectories log scale

Adversarial Discriminative Domain Adaptation 2017 · 3.0k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2017 Adversarial Discriminative Domain Adaptation
2016 Cross Modal Distillation for Supervision Transfer
2015 Simultaneous Deep Transfer Across Domains and Tasks
2013 arXiv (Cornell University)

Peers

Countries citing papers authored by Judy Hoffman

Since Specialization

Citations

This map shows the geographic impact of Judy Hoffman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Judy Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judy Hoffman more than expected).

Fields of papers citing papers by Judy Hoffman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judy Hoffman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Judy Hoffman. The network helps show where Judy Hoffman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Judy Hoffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Judy Hoffman Line = papers co-authored together Judy Hoffman links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders Fiona Ryan, Hadi Fakhrabadi, Sang Min Lee, Daniel Bolya, Judy Hoffman, James M. Rehg	2025	0
2	EgoMimic: Scaling Imitation Learning via Egocentric Video Nora Guenifa, Dhruv Patel, Camille Leotta, Sayma Nasrin Shompa, N.N. Malyutina, Xonné Haywood, Judy Hoffman, Danfei Xu	2025	1
3	3D cloud masking across a broad swath using multi-angle polarimetry and deep learning Atmospheric measurement techniques ·D. Morchain, Kirk Knobelspiesse, A. M. Sayer, Meng Gao, James Hays, Judy Hoffman	2024	1
4	Token Merging for Fast Stable Diffusion Daniel Bolya, Judy Hoffman	2023	34
5	Multiple-source adaptation theory and algorithms – addendum Annals of Mathematics and Artificial Intelligence ·Judy Hoffman, Mehryar Mohri, B. R. Bishowkarma	2022	2
6	Mitigating Bias in Visual Transformers via Targeted Alignment Catherine G. Velopoulos, 英巳大場, 中里匡陽, Judy Hoffman	2021	0
7	Masked reconstruction based self-supervision for human activity recognition Harish Haresamudram, Reham Abo, Varun Agrawal, Garazi Gutiérrez, Irfan Essa, Judy Hoffman, Thomas Plötz	2020	86
8	Adapting to Continuously Shifting Domains International Conference on Learning Representations ·Docimo T., Eric Tzeng, Judy Hoffman, Trevor Darrell	2018	32
9	Scaling Human-Object Interaction Recognition Through Zero-Shot Learning Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei	2018	100
10	Adversarial Discriminative Domain Adaptation (workshop extended abstract). International Conference on Learning Representations ·Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell	2017	2
11	Label efficient learning of transferable representations across domains and tasks Neural Information Processing Systems ·Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei	2017	64
12	Cross Modal Distillation for Supervision Transfer Saurabh Gupta, Judy Hoffman, Jitendra Malik Hit paper breakdown →	2016	288
13	Large scale visual recognition through adaptation using joint representation and multiple instance learning Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko	2016	8
14	Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko Hit paper breakdown →	2015	690
15	Detector discovery in the wild: Joint multiple instance and representation learning Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko	2015	44
16	Continuous Manifold Based Adaptation for Evolving Visual Domains Judy Hoffman, Trevor Darrell, Kate Saenko	2014	74
17	Asymmetric and Category Invariant Feature Transformations for Domain Adaptation International Journal of Computer Vision ·Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko	2014	86
18	One-Shot Adaptation of Supervised Deep Convolutional Models arXiv (Cornell University) ·Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell	2013	10
19	Transfer between Icon Sets and Ratings of Icon Concreteness and Appropriateness Proceedings of the Human Factors Society Annual Meeting ·Mandryk I. O, Judy Hoffman	1991	25
20	Dialect Interaction Between Black and Puerto Rican Children in New York City: Implications for the Language Arts. Elementary English ·Brian J. Duffy, Judy Hoffman	1972	1

About Judy Hoffman

Judy Hoffman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Linguistics and Language, having authored 48 papers that have together received 7.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (27 papers), Multimodal Machine Learning Applications (13 papers), Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Adversarial Robustness in Machine Learning (6 papers), Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.7k citations), Artificial Intelligence (4.4k citations), Media Technology (511 citations), Signal Processing (373 citations) and Radiology, Nuclear Medicine and Imaging (705 citations). Judy Hoffman has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Trevor Darrell, Eric Tzeng, Kate Saenko, Jeff Donahue, Yangqing Jia, Oriol Vinyals, Ning Zhang, Saurabh Gupta, Jitendra Malik and Erik Rodner. Their work appears in journals such as Atmospheric measurement techniques, International Journal of Computer Vision, Annals of Mathematics and Artificial Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and SID Symposium Digest of Technical Papers.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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