Xiaohui Shen
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
- Media Technology top 0.2%
Papers in
-
- Advanced Image and Video Retrieval Techniques 39
- Visual Attention and Saliency Detection 26
- Multimodal Machine Learning Applications 24
- Human Pose and Action Recognition 17
- Advanced Neural Network Applications 15
- Advanced Vision and Imaging 14
- Video Surveillance and Tracking Methods 14
- Co-authors
- Zhe Lin (45 shared papers)Xiaodan Liang (16 shared papers)Jonathan Brandt (11 shared papers)Ying Wu (2 shared papers)Thomas S. Huang (1 shared paper)Jiahui Yu (1 shared paper)Xin Lu (1 shared paper)Radomír Měch (17 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (10 papers)IEEE Transactions on Image Processing (5 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)ACM Transactions on Graphics (3 papers)International Journal of Computer Vision (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xiaohui Shen
113 papers receiving 12.0k citations
Xiaohui Shen's Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 10.7k
- Media Technology 1.4k
- Computer Graphics and Computer-Aided Design 531
- Sensory Systems 457
- Human-Computer Interaction 407
Countries citing papers authored by Xiaohui Shen
This map shows the geographic impact of Xiaohui Shen'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 Xiaohui Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Shen more than expected).
Fields of papers citing papers by Xiaohui Shen
This network shows the impact of papers produced by Xiaohui Shen. 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 Xiaohui Shen. The network helps show where Xiaohui Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generative Image Inpainting with Contextual Attention Hit paper breakdown → | 2018 | 1666 |
| 2 | EnlightenGAN: Deep Light Enhancement Without Paired Supervision Hit paper breakdown → | 2021 | 1522 |
| 3 | A convolutional neural network cascade for face detection Hit paper breakdown → | 2015 | 1002 |
| 4 | A unified approach to salient object detection via low rank matrix recovery Hit paper breakdown → | 2012 | 563 |
| 5 | STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation Hit paper breakdown → | 2016 | 444 |
| 6 | Top-Down Neural Attention by Excitation Backprop Hit paper breakdown → | 2017 | 429 |
| 7 | Minimum Barrier Salient Object Detection at 80 FPS Hit paper breakdown → | 2015 | 369 |
| 8 | Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing Hit paper breakdown → | 2017 | 343 |
| 9 | Towards unified depth and semantic prediction from a single image Hit paper breakdown → | 2015 | 322 |
| 10 | Photo Aesthetics Ranking Network with Attributes and Content Adaptation Hit paper breakdown → | 2016 | 312 |
| 11 | 2018 | 262 | |
| 12 | 2015 | 239 | |
| 13 | 2016 | 236 | |
| 14 | Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition Hit paper breakdown → | 2021 | 216 |
| 15 | 2017 | 214 | |
| 16 | 2015 | 214 | |
| 17 | 2015 | 174 | |
| 18 | 2017 | 173 | |
| 19 | 2015 | 168 | |
| 20 | 2012 | 161 |
About Xiaohui Shen
Xiaohui Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Human-Computer Interaction, having authored 118 papers that have together received 12.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (39 papers), Visual Attention and Saliency Detection (26 papers), Multimodal Machine Learning Applications (24 papers), Human Pose and Action Recognition (17 papers), Advanced Neural Network Applications (15 papers), Advanced Vision and Imaging (14 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Data Storage Technologies (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.7k citations), Media Technology (1.4k citations), Computer Graphics and Computer-Aided Design (531 citations), Sensory Systems (457 citations) and Human-Computer Interaction (407 citations). Xiaohui Shen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Zhe Lin, Xiaodan Liang, Jonathan Brandt, Ying Wu, Thomas S. Huang, Jiahui Yu, Xin Lu, Radomír Měch, Liang Lin and Haoxiang Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Journal of Pharmaceutical and Biomedical Analysis, ACM Transactions on Graphics and International Journal of Computer Vision.
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.