Jiarui Xu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Topics
- Domain Adaptation and Few-Shot Learning (4 papers)Video Surveillance and Tracking Methods (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cloud Computing Advances Systems and Applications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jiarui Xu
11 papers receiving 686 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 579
- Artificial Intelligence 219
- Human-Computer Interaction 78
- Control and Systems Engineering 74
- Aerospace Engineering 51
Countries citing papers authored by Jiarui Xu
This map shows the geographic impact of Jiarui Xu'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 Jiarui Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiarui Xu more than expected).
Fields of papers citing papers by Jiarui Xu
This network shows the impact of papers produced by Jiarui Xu. 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 Jiarui Xu. The network helps show where Jiarui Xu may publish in the future.
Co-authorship network of co-authors of Jiarui Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiarui Xu. A scholar is included among the top collaborators of Jiarui Xu 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 Jiarui Xu. Jiarui Xu 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 | GroupViT: Semantic Segmentation Emerges from Text Supervisionbreakdown → | 243 |
| 3 | 4 | |
| 4 | 40 | |
| 5 | 1 | |
| 6 | 103 | |
| 7 | 91 | |
| 8 | 48 | |
| 9 | 163 | |
| 10 | End-to-End Deep HDR Imaging with Large Foreground Motions. | 5 |
| 11 | 5 |
About Jiarui Xu
Jiarui Xu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Statistical and Nonlinear Physics, having authored 11 papers that have together received 704 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (579 citations), Human-Computer Interaction (78 citations) and Artificial Intelligence (219 citations). Jiarui Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Han Hu, Sifei Liu, Xiaolong Wang, Yue Cao, Zheng Zhang, Jan Kautz, Shalini De Mello, Thomas M. Breuel, Wonmin Byeon and Hanwen Jiang. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cloud Computing Advances Systems and Applications.
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.