Du Tran
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Advanced Vision and Imaging
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 24
- Multimodal Machine Learning Applications 8
- Video Analysis and Summarization 7
- Video Surveillance and Tracking Methods 6
- Advanced Vision and Imaging 5
- Advanced Neural Network Applications 4
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- Anomaly Detection Techniques and Applications 9
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Lorenzo Torresani (15 shared papers)Heng Wang (4 shared papers)Manohar Paluri (5 shared papers)Jamie Ray (2 shared papers)Yann LeCun (1 shared paper)Matt Feiszli (9 shared papers)Alexander Sorokin (1 shared paper)Wei‐Yao Wang (4 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)Machine Vision and Applications (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (2 papers)DR-NTU (Nanyang Technological University) (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Du Tran
28 papers receiving 4.3k citations
Du Tran's Hit Papers
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 3.6k
- Human-Computer Interaction 414
- Artificial Intelligence 2.0k
- Signal Processing 353
- Biomedical Engineering 744
Countries citing papers authored by Du Tran
This map shows the geographic impact of Du Tran'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 Du Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Du Tran more than expected).
Fields of papers citing papers by Du Tran
This network shows the impact of papers produced by Du Tran. 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 Du Tran. The network helps show where Du Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Du Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Closer Look at Spatiotemporal Convolutions for Action Recognition Hit paper breakdown → | 2018 | 2322 |
| 2 | Video Classification With Channel-Separated Convolutional Networks Hit paper breakdown → | 2019 | 424 |
| 3 | What Makes Training Multi-Modal Classification Networks Hard? Hit paper breakdown → | 2020 | 340 |
| 4 | 2008 | 274 | |
| 5 | C3D: Generic Features for Video Analysis. | 2014 | 211 |
| 6 | 2018 | 176 | |
| 7 | 2013 | 78 | |
| 8 | Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization | 2018 | 77 |
| 9 | 2016 | 72 | |
| 10 | 2021 | 70 | |
| 11 | 2023 | 54 | |
| 12 | Max-Margin Structured Output Regression for Spatio-Temporal Action Localization | 2012 | 43 |
| 13 | 2019 | 42 | |
| 14 | 2011 | 40 | |
| 15 | 2020 | 35 | |
| 16 | 2022 | 31 | |
| 17 | Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization | 2018 | 29 |
| 18 | 2022 | 25 | |
| 19 | Self-Supervised Learning by Cross-Modal Audio-Video Clustering | 2020 | 19 |
| 20 | 2018 | 13 |
About Du Tran
Du Tran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering and Media Technology, having authored 28 papers that have together received 4.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (24 papers), Anomaly Detection Techniques and Applications (9 papers), Multimodal Machine Learning Applications (8 papers), Video Analysis and Summarization (7 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Vision and Imaging (5 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Human-Computer Interaction (414 citations), Artificial Intelligence (2.0k citations), Signal Processing (353 citations) and Biomedical Engineering (744 citations). Du Tran has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Lorenzo Torresani, Heng Wang, Manohar Paluri, Jamie Ray, Yann LeCun, Matt Feiszli, Alexander Sorokin, Wei‐Yao Wang, Lubomir Bourdev and Rob Fergus. Their work appears in journals such as International Journal of Computer Vision, Machine Vision and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and DR-NTU (Nanyang Technological University).
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.