Fisher Yu
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Neural Network Applications 27
- Advanced Vision and Imaging 14
- Video Surveillance and Tracking Methods 10
- Multimodal Machine Learning Applications 9
- Advanced Image and Video Retrieval Techniques 8
- Co-authors
- Trevor DarrellJianxiong XiaoThomas FunkhouserShuran SongLinguang ZhangXiaoou TangZhirong WuAditya Khosla
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)IEEE Robotics and Automation Letters (2 papers)ACM Transactions on Graphics (2 papers)Nature Communications (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Fisher Yu
70 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Vision and Pattern Recognition 7.8k
- Computer Graphics and Computer-Aided Design 893
- Geology 1.3k
- Computational Mechanics 2.0k
- Media Technology 855
Countries citing papers authored by Fisher Yu
This map shows the geographic impact of Fisher Yu'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 Fisher Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fisher Yu more than expected).
Fields of papers citing papers by Fisher Yu
This network shows the impact of papers produced by Fisher Yu. 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 Fisher Yu. The network helps show where Fisher Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fisher Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 32 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 63 | |
| 4 | Dual Aggregation Transformer for Image Super-Resolution Hit paper breakdown → | 2023 | 180 |
| 5 | 2023 | 3 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 43 | |
| 10 | 2022 | 84 | |
| 11 | 2022 | 91 | |
| 12 | Quasi-Dense Similarity Learning for Multiple Object Tracking Hit paper breakdown → | 2021 | 268 |
| 13 | Deep Mixture of Experts via Shallow Embedding | 2020 | 16 |
| 14 | Frustratingly Simple Few-Shot Object Detection | 2020 | 195 |
| 15 | 2019 | 154 | |
| 16 | 2019 | 55 | |
| 17 | 2019 | 162 | |
| 18 | Learning Rich Image Representation with Deep Layer Aggregation. | 2018 | 2 |
| 19 | Dilated Residual Networks Hit paper breakdown → | 2017 | 1092 |
| 20 | 3D ShapeNets: A deep representation for volumetric shapes Hit paper breakdown → | 2015 | 2728 |
About Fisher Yu
Fisher Yu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Automotive Engineering and Aerospace Engineering, having authored 70 papers that have together received 11.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (27 papers), Domain Adaptation and Few-Shot Learning (17 papers), Advanced Vision and Imaging (14 papers), Robotics and Sensor-Based Localization (11 papers), Video Surveillance and Tracking Methods (10 papers), Multimodal Machine Learning Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Autonomous Vehicle Technology and Safety (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.8k citations), Computer Graphics and Computer-Aided Design (893 citations), Geology (1.3k citations), Computational Mechanics (2.0k citations) and Media Technology (855 citations). Fisher Yu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Trevor Darrell, Jianxiong Xiao, Thomas Funkhouser, Shuran Song, Linguang Zhang, Xiaoou Tang, Zhirong Wu, Aditya Khosla, Vladlen Koltun and Luc Van Gool. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters, ACM Transactions on Graphics, Nature Communications and IEEE Transactions on Intelligent Vehicles.
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.