Wanli Ouyang
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Human-Computer Interaction top 0.2%
Papers in
-
- Advanced Neural Network Applications 89
- Human Pose and Action Recognition 72
- Video Surveillance and Tracking Methods 69
- Advanced Image and Video Retrieval Techniques 49
- Multimodal Machine Learning Applications 46
- Advanced Vision and Imaging 24
-
- Domain Adaptation and Few-Shot Learning 51
- Anomaly Detection Techniques and Applications 26
- Co-authors
- Xiaogang Wang (50 shared papers)Rui Zhao (10 shared papers)Hongsheng Li (15 shared papers)Dong Xu (18 shared papers)Li Liu (2 shared papers)Xinwang Liu (1 shared paper)Matti Pietikäinen (1 shared paper)Jie Chen (1 shared paper)
In The Last Decade
Wanli Ouyang
281 papers receiving 22.5k citations
Wanli Ouyang's Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Vision and Pattern Recognition 18.8k
- Human-Computer Interaction 1.1k
- Media Technology 1.6k
- Artificial Intelligence 5.7k
- Safety, Risk, Reliability and Quality 999
Countries citing papers authored by Wanli Ouyang
This map shows the geographic impact of Wanli Ouyang'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 Wanli Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanli Ouyang more than expected).
Fields of papers citing papers by Wanli Ouyang
This network shows the impact of papers produced by Wanli Ouyang. 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 Wanli Ouyang. The network helps show where Wanli Ouyang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanli Ouyang, 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 303 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for Generic Object Detection: A Survey Hit paper breakdown → | 2019 | 1884 |
| 2 | Libra R-CNN: Towards Balanced Learning for Object Detection Hit paper breakdown → | 2019 | 1244 |
| 3 | Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition Hit paper breakdown → | 2020 | 757 |
| 4 | Unsupervised Salience Learning for Person Re-identification Hit paper breakdown → | 2013 | 748 |
| 5 | Saliency detection by multi-context deep learning Hit paper breakdown → | 2015 | 704 |
| 6 | Visual Tracking with Fully Convolutional Networks Hit paper breakdown → | 2015 | 691 |
| 7 | Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification Hit paper breakdown → | 2016 | 602 |
| 8 | Mask-Guided Contrastive Attention Model for Person Re-identification Hit paper breakdown → | 2018 | 480 |
| 9 | Joint Deep Learning for Pedestrian Detection Hit paper breakdown → | 2013 | 477 |
| 10 | Multi-context Attention for Human Pose Estimation Hit paper breakdown → | 2017 | 473 |
| 11 | DVC: An End-To-End Deep Video Compression Framework Hit paper breakdown → | 2019 | 430 |
| 12 | Person Re-identification by Salience Matching Hit paper breakdown → | 2013 | 371 |
| 13 | Learning Mid-level Filters for Person Re-identification Hit paper breakdown → | 2014 | 371 |
| 14 | T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos Hit paper breakdown → | 2017 | 363 |
| 15 | SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction Hit paper breakdown → | 2019 | 355 |
| 16 | Attention-Aware Compositional Network for Person Re-identification Hit paper breakdown → | 2018 | 341 |
| 17 | Collaborative and Adversarial Network for Unsupervised Domain Adaptation Hit paper breakdown → | 2018 | 340 |
| 18 | Learning Feature Pyramids for Human Pose Estimation Hit paper breakdown → | 2017 | 330 |
| 19 | 2017 | 319 | |
| 20 | PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Hit paper breakdown → | 2018 | 302 |
About Wanli Ouyang
Wanli Ouyang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Human-Computer Interaction, having authored 303 papers that have together received 23.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (89 papers), Human Pose and Action Recognition (72 papers), Video Surveillance and Tracking Methods (69 papers), Domain Adaptation and Few-Shot Learning (51 papers), Advanced Image and Video Retrieval Techniques (49 papers), Multimodal Machine Learning Applications (46 papers), Anomaly Detection Techniques and Applications (26 papers) and Advanced Vision and Imaging (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (18.8k citations), Human-Computer Interaction (1.1k citations), Media Technology (1.6k citations), Artificial Intelligence (5.7k citations) and Safety, Risk, Reliability and Quality (999 citations). Wanli Ouyang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Xiaogang Wang, Rui Zhao, Hongsheng Li, Dong Xu, Li Liu, Xinwang Liu, Matti Pietikäinen, Jie Chen, Paul Fieguth and Yan Huang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, International Journal of Computer Vision and Nature Communications.
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.