World's Best Scientists 2026 revealed!
Wanli Ouyang

Wanli Ouyang

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Computer Science
China
2026
Award Badge
Computer Science
Australia
2023

D-Index & Metrics

Computer Science

D-Index
98
Citations
44249
World Ranking
401
National Ranking
50

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Wanli Ouyang is affiliated with Shanghai AI Lab in China and has contributed extensively to the field of computer science, with a primary focus on computer vision and pattern recognition. Their research spans various subfields including artificial intelligence, molecular biology, computational mechanics, and aerospace engineering.

The scientist's main research topics cover:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Wanli Ouyang's frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology

Selected recent papers authored or co-authored by Wanli Ouyang are:

  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multi-class Token Transformer for Weakly Supervised Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments, 2020, IEEE Transactions on Image Processing
  • Geometry Uncertainty Projection Network for Monocular 3D Object Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent co-authors collaborating with Wanli Ouyang include:

  • Lei Bai
  • Tong He
  • Shixiang Tang
  • Dongzhan Zhou
  • Baopu Li

Wanli Ouyang has also contributed to book publications, primarily through Springer Science+Business Media, with multiple editions of the work titled Image and Graphics published in 2023.

Best Publications

  • Deep Learning for Generic Object Detection: A Survey

    Li Liu;Li Liu;Wanli Ouyang;Xiaogang Wang;Paul W. Fieguth

  • Libra R-CNN: Towards Balanced Learning for Object Detection

    Jiangmiao Pang;Kai Chen;Jianping Shi;Huajun Feng

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • Unsupervised Salience Learning for Person Re-identification

    Rui Zhao;Wanli Ouyang;Xiaogang Wang

  • Visual Tracking with Fully Convolutional Networks

    Lijun Wang;Wanli Ouyang;Xiaogang Wang;Huchuan Lu

  • Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

    Ziyu Liu;Hongwen Zhang;Zhenghao Chen;Zhiyong Wang

  • Saliency detection by multi-context deep learning

    Rui Zhao;Wanli Ouyang;Hongsheng Li;Xiaogang Wang

  • Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

    Tong Xiao;Hongsheng Li;Wanli Ouyang;Xiaogang Wang

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • Joint Deep Learning for Pedestrian Detection

    Wanli Ouyang;Xiaogang Wang

  • Multi-context Attention for Human Pose Estimation

    Xiao Chu;Wei Yang;Wanli Ouyang;Cheng Ma

  • Mask-Guided Contrastive Attention Model for Person Re-identification

    Chunfeng Song;Yan Huang;Wanli Ouyang;Liang Wang

  • Learning Mid-level Filters for Person Re-identification

    Rui Zhao;Wanli Ouyang;Xiaogang Wang

  • DVC: An End-To-End Deep Video Compression Framework

    Guo Lu;Wanli Ouyang;Dong Xu;Xiaoyun Zhang

  • Person Re-identification by Salience Matching

    Rui Zhao;Wanli Ouyang;Xiaogang Wang

  • T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

    Kai Kang;Hongsheng Li;Junjie Yan;Xingyu Zeng

  • Learning Feature Pyramids for Human Pose Estimation

    Wei Yang;Shuang Li;Wanli Ouyang;Hongsheng Li

  • SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction

    Pu Zhang;Wanli Ouyang;Pengfei Zhang;Jianru Xue

  • Scene Graph Generation from Objects, Phrases and Region Captions

    Yikang Li;Wanli Ouyang;Bolei Zhou;Kun Wang

  • DeepID-Net: Deformable deep convolutional neural networks for object detection

    Wanli Ouyang;Xiaogang Wang;Xingyu Zeng;Shi Qiu

  • Attention-Aware Compositional Network for Person Re-identification

    Jing Xu;Rui Zhao;Feng Zhu;Huaming Wang

Frequent Co-Authors

Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Junjie Yan
Junjie Yan SenseTime
Dong Xu
Dong Xu University of Hong Kong
Nicu Sebe
Nicu Sebe University of Trento
Jianping Shi
Jianping Shi SenseTime
Chen Change Loy
Chen Change Loy Nanyang Technological University
Ping Luo
Ping Luo University of Hong Kong
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Liang Lin
Liang Lin Sun Yat-sen University

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