Eric Tzeng
Impact in
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Image and Video Retrieval Techniques 3
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Neural Network Applications 1
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- Domain Adaptation and Few-Shot Learning 6
- Reinforcement Learning in Robotics 1
- Co-authors
- Trevor Jackson Darrell (9 shared papers)Judy Hoffman (7 shared papers)Kate Saenko (6 shared papers)Andrew Zhai (3 shared papers)Pieter Abbeel (3 shared papers)Dmitry Kislyuk (2 shared papers)Jeff Donahue (2 shared papers)Yushi Jing (1 shared paper)
- Journals
- Advances in computer vision and pattern recognition (1 paper)Lecture notes in computer science (1 paper)IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (1 paper)International Conference on Learning Representations (2 papers)
- Partner nations
- United States
In The Last Decade
Eric Tzeng
14 papers receiving 4.8k citations
Eric Tzeng's Hit Papers
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 3.3k
- Computer Vision and Pattern Recognition 952
- Media Technology 179
- Signal Processing 135
- Control and Systems Engineering 241
Countries citing papers authored by Eric Tzeng
This map shows the geographic impact of Eric Tzeng'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 Eric Tzeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tzeng more than expected).
Fields of papers citing papers by Eric Tzeng
This network shows the impact of papers produced by Eric Tzeng. 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 Eric Tzeng. The network helps show where Eric Tzeng may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Tzeng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Adversarial Discriminative Domain Adaptation Hit paper breakdown → | 2017 | 3674 |
| 2 | Simultaneous Deep Transfer Across Domains and Tasks Hit paper breakdown → | 2015 | 908 |
| 3 | 2017 | 127 | |
| 4 | 2017 | 51 | |
| 5 | 2020 | 42 | |
| 6 | Adapting to Continuously Shifting Domains | 2018 | 32 |
| 7 | 2019 | 29 | |
| 8 | 2013 | 26 | |
| 9 | 2014 | 23 | |
| 10 | 2024 | 14 | |
| 11 | Adversarial Discriminative Domain Adaptation (workshop extended abstract). | 2017 | 6 |
| 12 | From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach | 2014 | 2 |
| 13 | 2015 | 2 | |
| 14 | Unconditional Synthesis of Complex Scenes Using a Semantic Bottleneck | 2021 | 1 |
About Eric Tzeng
Eric Tzeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Information Systems and Nuclear Energy and Engineering, having authored 14 papers that have together received 4.9k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robot Manipulation and Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Information Retrieval and Search Behavior (1 paper), Reinforcement Learning in Robotics (1 paper), Advanced Neural Network Applications (1 paper) and Recommender Systems and Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (3.3k citations), Computer Vision and Pattern Recognition (952 citations), Media Technology (179 citations), Signal Processing (135 citations) and Control and Systems Engineering (241 citations). Eric Tzeng has collaborated with scholars based in United States. Frequent co-authors include Trevor Jackson Darrell, Judy Hoffman, Kate Saenko, Andrew Zhai, Pieter Abbeel, Dmitry Kislyuk, Jeff Donahue, Yushi Jing, Haoyu Wu and Dong Huk Park. Their work appears in journals such as Advances in computer vision and pattern recognition, Lecture notes in computer science, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and International Conference on Learning Representations.
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.