Eric Tzeng
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 5
- Multimodal Machine Learning Applications 4
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 6
- Adversarial Robustness in Machine Learning 2
- Reinforcement Learning in Robotics 2
- Co-authors
- Trevor J. Darrell (9 shared papers)Judy Hoffman (7 shared papers)Kate Saenko (6 shared papers)Andrew Zhai (3 shared papers)Dmitry Kislyuk (2 shared papers)Pieter Abbeel (3 shared papers)Jeff Donahue (2 shared papers)Yushi Jing (1 shared paper)
- Journals
- Advances in computer vision and pattern recognition (1 paper)Proceedings of the National Academy of Sciences (1 paper)Lecture notes in computer science (1 paper)Cureus (1 paper)Springer proceedings in advanced robotics (1 paper)
- Partner nations
- United StatesPolandFrance
In The Last Decade
Eric Tzeng
15 papers receiving 4.6k citations
Eric Tzeng's Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 2.6k
- Artificial Intelligence 3.2k
- Media Technology 254
- Radiology, Nuclear Medicine and Imaging 584
- Signal Processing 258
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 | 3597 |
| 2 | Simultaneous Deep Transfer Across Domains and Tasks Hit paper breakdown → | 2015 | 892 |
| 3 | 2017 | 48 | |
| 4 | 2014 | 45 | |
| 5 | Adapting to Continuously Shifting Domains | 2018 | 32 |
| 6 | 2019 | 27 | |
| 7 | 2013 | 25 | |
| 8 | 2014 | 23 | |
| 9 | 2020 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2024 | 11 | |
| 12 | Adversarial Discriminative Domain Adaptation (workshop extended abstract). | 2017 | 5 |
| 13 | From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach | 2014 | 2 |
| 14 | 2015 | 2 | |
| 15 | Unconditional Synthesis of Complex Scenes Using a Semantic Bottleneck | 2021 | 1 |
| 16 | 2023 | 1 |
About Eric Tzeng
Eric Tzeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 16 papers that have together received 4.7k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers), Robot Manipulation and Learning (3 papers), Robotics and Sensor-Based Localization (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Artificial Intelligence (3.2k citations), Media Technology (254 citations), Radiology, Nuclear Medicine and Imaging (584 citations) and Signal Processing (258 citations). Eric Tzeng has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Trevor J. Darrell, Judy Hoffman, Kate Saenko, Andrew Zhai, Dmitry Kislyuk, Pieter Abbeel, Jeff Donahue, Yushi Jing, Sandy H. Huang and Grażyna Gromadzka. Their work appears in journals such as Advances in computer vision and pattern recognition, Proceedings of the National Academy of Sciences, Lecture notes in computer science, Cureus and Springer proceedings in advanced robotics.
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.