Hung-Yu Tseng
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Cognitive Neuroscience
- Signal Processing top 10%
- Co-authors
- Ming–Hsuan YangHsin-Ying LeeQi MaoJia‐Bin HuangSiwei MaYu-Ding LuManeesh SinghWei-Chen Chiu
- Topics
- Generative Adversarial Networks and Image Synthesis (10 papers)Advanced Vision and Imaging (7 papers)Advanced Image Processing Techniques (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Hung-Yu Tseng
31 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 823
- Artificial Intelligence 238
- Computer Graphics and Computer-Aided Design 169
- Cognitive Neuroscience 95
- Signal Processing 95
Countries citing papers authored by Hung-Yu Tseng
This map shows the geographic impact of Hung-Yu Tseng'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 Hung-Yu Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Yu Tseng more than expected).
Fields of papers citing papers by Hung-Yu Tseng
This network shows the impact of papers produced by Hung-Yu Tseng. 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 Hung-Yu Tseng. The network helps show where Hung-Yu Tseng may publish in the future.
Co-authorship network of co-authors of Hung-Yu Tseng
This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Yu Tseng. A scholar is included among the top collaborators of Hung-Yu Tseng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hung-Yu Tseng. Hung-Yu Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 35 | |
| 5 | 7 | |
| 6 | 26 | |
| 7 | 63 | |
| 8 | Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing | 23 |
| 9 | 60 | |
| 10 | DRIT++: Diverse Image-to-Image Translation via Disentangled Representationsbreakdown → | 271 |
| 11 | 245 | |
| 12 | 22 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 47 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 26 | |
| 19 | 9 | |
| 20 | 1 |
About Hung-Yu Tseng
Hung-Yu Tseng is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (10 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (169 citations), Computer Vision and Pattern Recognition (823 citations) and Human-Computer Interaction (72 citations). Hung-Yu Tseng has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Ming–Hsuan Yang, Hsin-Ying Lee, Qi Mao, Jia‐Bin Huang, Siwei Ma, Yu-Ding Lu, Maneesh Singh, Wei-Chen Chiu, Weilong Yang and Lu Jiang. Their work appears in journals such as Chemical Engineering Journal, International Journal of Computer Vision and Nanotechnology.
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.