Thang Vu
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 5
- Reinforcement Learning in Robotics 3
- Adversarial Robustness in Machine Learning 2
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- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Chang D. Yoo (11 shared papers)Tung M. Luu (7 shared papers)Thanh Minh Nguyen (1 shared paper)Trung X. Pham (2 shared papers)Junyeong Kim (1 shared paper)Ofer Hadar (1 shared paper)Chaoning Zhang (1 shared paper)Ilia Polian (1 shared paper)
- Journals
- IEEE Access (2 papers)Sensors (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- South KoreaGermanyIsrael
In The Last Decade
Thang Vu
12 papers receiving 296 citations
Thang Vu's Hit Papers
Peers
Comparison fields: 5 of 50
- Geology 73
- Computer Vision and Pattern Recognition 177
- Computer Graphics and Computer-Aided Design 24
- Environmental Engineering 63
- Computational Mechanics 86
Countries citing papers authored by Thang Vu
This map shows the geographic impact of Thang Vu'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 Thang Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thang Vu more than expected).
Fields of papers citing papers by Thang Vu
This network shows the impact of papers produced by Thang Vu. 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 Thang Vu. The network helps show where Thang Vu may publish in the future.
Co-authors
The 9 scholars most cited alongside Thang Vu, 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 | SoftGroup for 3D Instance Segmentation on Point Clouds Hit paper breakdown → | 2022 | 155 |
| 2 | 2021 | 66 | |
| 3 | 2019 | 33 | |
| 4 | 2021 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2023 | 6 | |
| 8 | 2020 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 1 |
About Thang Vu
Thang Vu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering and Control and Systems Engineering, having authored 12 papers that have together received 303 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (4 papers), 3D Shape Modeling and Analysis (3 papers), Reinforcement Learning in Robotics (3 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Geology (73 citations), Computer Vision and Pattern Recognition (177 citations), Computer Graphics and Computer-Aided Design (24 citations), Environmental Engineering (63 citations) and Computational Mechanics (86 citations). Thang Vu has collaborated with scholars based in South Korea, Germany and Israel. Frequent co-authors include Chang D. Yoo, Tung M. Luu, Thanh Minh Nguyen, Trung X. Pham, Junyeong Kim, Ofer Hadar, Chaoning Zhang, Ilia Polian and Xuan Nguyen. Their work appears in journals such as IEEE Access, Sensors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.