Feiyue Huang
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Signal Processing top 1%
- Biomedical Engineering top 5%
- Media Technology top 1%
- Topics
- Advanced Neural Network Applications (24 papers)Advanced Image and Video Retrieval Techniques (24 papers)Face recognition and analysis (23 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Power SourcesIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Feiyue Huang
109 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 5.2k
- Artificial Intelligence 2.0k
- Signal Processing 689
- Biomedical Engineering 511
- Media Technology 352
Countries citing papers authored by Feiyue Huang
This map shows the geographic impact of Feiyue Huang'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 Feiyue Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiyue Huang more than expected).
Fields of papers citing papers by Feiyue Huang
This network shows the impact of papers produced by Feiyue Huang. 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 Feiyue Huang. The network helps show where Feiyue Huang may publish in the future.
Co-authorship network of co-authors of Feiyue Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Feiyue Huang. A scholar is included among the top collaborators of Feiyue Huang 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 Feiyue Huang. Feiyue Huang 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 | 1 | |
| 3 | Rethinking Counting and Localization in Crowds: A Purely Point-Based Frameworkbreakdown → | 198 |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 29 | |
| 7 | 10 | |
| 8 | UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection | 17 |
| 9 | Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples | 1 |
| 10 | 110 | |
| 11 | CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognitionbreakdown → | 340 |
| 12 | 50 | |
| 13 | 16 | |
| 14 | Variational Structured Semantic Inference for Diverse Image Captioning | 13 |
| 15 | Dynamic Neural Network Decoupling. | 3 |
| 16 | Pyramidal Person Re-IDentification via Multi-Loss Dynamic Trainingbreakdown → | 292 |
| 17 | A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training. | 8 |
| 18 | 18 | |
| 19 | 19 | |
| 20 | 15 |
About Feiyue Huang
Feiyue Huang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 111 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (24 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Face recognition and analysis (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.2k citations), Signal Processing (689 citations) and Artificial Intelligence (2.0k citations). Feiyue Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rongrong Ji, Jilin Li, Yongjian Wu, Ying Tai, Chengjie Wang, Baochang Zhang, Xiaowei Guo, Liujuan Cao, Yabiao Wang and Xiaoshuai Sun. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Power Sources and IEEE Transactions on Image Processing.
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.