Fanyi Xiao
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Daniel BolyaYong Jae LeeChong ZhouLeonid SigalLarry S. DavisJan KautzMing-Yu LiuXitong Yang
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Advanced Neural Network Applications (8 papers)Multimodal Machine Learning Applications (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionIEEE Internet of Things Journal
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Fanyi Xiao
22 papers receiving 917 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 678
- Artificial Intelligence 262
- Aerospace Engineering 89
- Media Technology 68
- Industrial and Manufacturing Engineering 61
Countries citing papers authored by Fanyi Xiao
This map shows the geographic impact of Fanyi Xiao'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 Fanyi Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanyi Xiao more than expected).
Fields of papers citing papers by Fanyi Xiao
This network shows the impact of papers produced by Fanyi Xiao. 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 Fanyi Xiao. The network helps show where Fanyi Xiao may publish in the future.
Co-authorship network of co-authors of Fanyi Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Fanyi Xiao. A scholar is included among the top collaborators of Fanyi Xiao 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 Fanyi Xiao. Fanyi Xiao 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 | EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anythingbreakdown → | 74 |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 41 | |
| 8 | 9 | |
| 9 | 37 | |
| 10 | 50 | |
| 11 | YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS) | 5 |
| 12 | 2 | |
| 13 | YOLACT++ Better Real-Time Instance Segmentationbreakdown → | 369 |
| 14 | 99 | |
| 15 | 7 | |
| 16 | 14 | |
| 17 | 76 | |
| 18 | Spatial-Temporal Memory Networks for Video Object Detection | 3 |
| 19 | 6 | |
| 20 | 3 |
About Fanyi Xiao
Fanyi Xiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems and Management, having authored 23 papers that have together received 942 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (678 citations), Artificial Intelligence (262 citations) and Media Technology (68 citations). Fanyi Xiao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Daniel Bolya, Yong Jae Lee, Chong Zhou, Yong Jae Lee, Leonid Sigal, Larry S. Davis, Jan Kautz, Ming-Yu Liu, Xitong Yang and Xiaodong Yang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Internet of Things Journal.
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.