Stan Weixian Lei
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Control and Systems Engineering
- Signal Processing
- Topics
- Multimodal Machine Learning Applications (5 papers)Advanced Image and Video Retrieval Techniques (2 papers)Domain Adaptation and Few-Shot Learning (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- 2021 IEEE/CVF International Conference on Computer Vision (ICCV)Proceedings of the AAAI Conference on Artificial Intelligence
In The Last Decade
Stan Weixian Lei
4 papers receiving 243 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 211
- Artificial Intelligence 68
- Computer Graphics and Computer-Aided Design 42
- Control and Systems Engineering 27
- Signal Processing 22
Countries citing papers authored by Stan Weixian Lei
This map shows the geographic impact of Stan Weixian Lei'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 Stan Weixian Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Weixian Lei more than expected).
Fields of papers citing papers by Stan Weixian Lei
This network shows the impact of papers produced by Stan Weixian Lei. 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 Stan Weixian Lei. The network helps show where Stan Weixian Lei may publish in the future.
Co-authorship network of co-authors of Stan Weixian Lei
This figure shows the co-authorship network connecting the top 25 collaborators of Stan Weixian Lei. A scholar is included among the top collaborators of Stan Weixian Lei 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 Stan Weixian Lei. Stan Weixian Lei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generationbreakdown → | 193 |
| 4 | 9 | |
| 5 | 34 |
About Stan Weixian Lei
Stan Weixian Lei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 5 papers that have together received 253 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (42 citations), Computer Vision and Pattern Recognition (211 citations) and Artificial Intelligence (68 citations). Stan Weixian Lei has collaborated with scholars based in Singapore, China and Israel. Frequent co-authors include Mike Zheng Shou, Jay Zhangjie Wu, Xintao Wang, Yixiao Ge, Ying Shan, Yuchao Gu, Yufei Shi, Wynne Hsu, Xiaohu Qie and Deepti Ghadiyaram. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.