Yanwei Fu
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- Multimodal Machine Learning Applications 46
- Human Pose and Action Recognition 30
- Advanced Neural Network Applications 28
- Advanced Image and Video Retrieval Techniques 22
- Advanced Vision and Imaging 21
- Generative Adversarial Networks and Image Synthesis 14
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning 53
- Media Technology top 0.5%
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- 3D Shape Modeling and Analysis 14
- Co-authors
- Tao XiangLi ZhangYabiao WangJianfeng FengSixiao ZhengPhilip H. S. TorrXiatian ZhuJiachen Lu
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (16 papers)IEEE Transactions on Image Processing (6 papers)Pattern Recognition (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanwei Fu
145 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 4.8k
- Artificial Intelligence 2.8k
- Media Technology 744
- Computer Graphics and Computer-Aided Design 208
- Radiology, Nuclear Medicine and Imaging 693
Countries citing papers authored by Yanwei Fu
This map shows the geographic impact of Yanwei Fu'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 Yanwei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanwei Fu more than expected).
Fields of papers citing papers by Yanwei Fu
This network shows the impact of papers produced by Yanwei Fu. 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 Yanwei Fu. The network helps show where Yanwei Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yanwei Fu, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 14 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 23 | |
| 9 | Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformersbreakdown → | 2021 | 2386 |
| 10 | 2020 | 34 | |
| 11 | 2020 | 139 | |
| 12 | 2019 | 51 | |
| 13 | 2019 | 136 | |
| 14 | 2019 | 67 | |
| 15 | 2019 | 17 | |
| 16 | Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. | 2019 | 1 |
| 17 | Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning | 2018 | 56 |
| 18 | Progressive Deep Neural Networks Acceleration via Soft Filter Pruning | 2018 | 8 |
| 19 | Semantic Feature Augmentation in Few-shot Learning. | 2018 | 25 |
| 20 | BigVid at MediaEval 2016: Predicting Interestingness in Images and Videos. | 2016 | 4 |
About Yanwei Fu
Yanwei Fu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 164 papers that have together received 6.7k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (53 papers), Multimodal Machine Learning Applications (46 papers), Human Pose and Action Recognition (30 papers), Advanced Neural Network Applications (28 papers), Advanced Image and Video Retrieval Techniques (22 papers), Advanced Vision and Imaging (21 papers), Generative Adversarial Networks and Image Synthesis (14 papers) and 3D Shape Modeling and Analysis (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.8k citations), Artificial Intelligence (2.8k citations) and Media Technology (744 citations). Yanwei Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Xiang, Li Zhang, Yabiao Wang, Jianfeng Feng, Sixiao Zheng, Philip H. S. Torr, Xiatian Zhu, Jiachen Lu, Hengshuang Zhao and Yu–Gang Jiang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Pattern Recognition, IEEE Transactions on Multimedia and IEEE Signal Processing Magazine.
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.