Eric Tzeng
Impact in
-
- 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 0.2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
Papers in
-
- Advanced Image and Video Retrieval Techniques 8
- Multimodal Machine Learning Applications 6
- Advanced Neural Network Applications 3
-
- Domain Adaptation and Few-Shot Learning 7
- Adversarial Robustness in Machine Learning 2
- Reinforcement Learning in Robotics 2
- Co-authors
- Trevor Darrell (12 shared papers)Judy Hoffman (10 shared papers)Kate Saenko (8 shared papers)Jeff Donahue (5 shared papers)Yangqing Jia (2 shared papers)Oriol Vinyals (1 shared paper)Ning Zhang (1 shared paper)Sergio Guadarrama (3 shared papers)
- 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)International Conference on Learning Representations (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Eric Tzeng
18 papers receiving 6.7k citations
Eric Tzeng's Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 4.3k
- Artificial Intelligence 4.2k
- Media Technology 474
- Radiology, Nuclear Medicine and Imaging 704
- Signal Processing 353
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 | 3366 |
| 2 | DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Hit paper breakdown → | 2013 | 2400 |
| 3 | Simultaneous Deep Transfer Across Domains and Tasks Hit paper breakdown → | 2015 | 818 |
| 4 | 2014 | 127 | |
| 5 | 2014 | 43 | |
| 6 | 2017 | 43 | |
| 7 | Adapting to Continuously Shifting Domains | 2018 | 33 |
| 8 | 2013 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2017 | 13 | |
| 12 | One-Shot Adaptation of Supervised Deep Convolutional Models | 2013 | 10 |
| 13 | Large scale visual recognition through adaptation using joint representation and multiple instance learning | 2016 | 10 |
| 14 | 2024 | 6 | |
| 15 | Adversarial Discriminative Domain Adaptation (workshop extended abstract). | 2017 | 4 |
| 16 | 2015 | 2 | |
| 17 | From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach | 2014 | 2 |
| 18 | Unconditional Synthesis of Complex Scenes Using a Semantic Bottleneck | 2021 | 1 |
| 19 | 2023 | 0 |
About Eric Tzeng
Eric Tzeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers), Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Adversarial Robustness in Machine Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Artificial Intelligence (4.2k citations), Media Technology (474 citations), Radiology, Nuclear Medicine and Imaging (704 citations) and Signal Processing (353 citations). Eric Tzeng has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Trevor Darrell, Judy Hoffman, Kate Saenko, Jeff Donahue, Yangqing Jia, Oriol Vinyals, Ning Zhang, Sergio Guadarrama, Ross Girshick and Ronghang Hu. 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 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.