World's Best Scientists 2026 revealed!
Hengshuang Zhao

Hengshuang Zhao

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
36
Citations
24971
World Ranking
781
National Ranking
259

Computer Science

D-Index
35
Citations
30175
World Ranking
11413
National Ranking
1413

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Hengshuang Zhao is affiliated with the University of Hong Kong in China. Their research primarily focuses on the intersection of computer science with strong emphases on computer vision and pattern recognition, artificial intelligence, and computational mechanics. They have contributed extensively to the fields of domain adaptation, few-shot learning, advanced neural network applications, and 3D shape modeling and analysis.

Their scholarly output includes research published in prominent venues, demonstrating active involvement in key outlets within the computer vision and artificial intelligence communities. Frequent publication venues for Hengshuang Zhao include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Robotics and Automation Letters

Zhao's research topics span several advanced areas of study, covering the following main fields and subfields:

  • Computer Science
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Geology
  • Environmental Engineering

Within these domains, they have explored and contributed to key topics such as:

  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • 3D Surveying and Cultural Heritage

Significant recent papers authored or co-authored by Hengshuang Zhao include:

  • "Point Transformer," 2021, published at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Prior Guided Feature Enrichment Network for Few-Shot Segmentation," 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Stratified Transformer for 3D Point Cloud Segmentation," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "LAVT: Language-Aware Vision Transformer for Referring Image Segmentation," 2022, at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "GridMask Data Augmentation," 2020, available on arXiv (Cornell University)

Hengshuang Zhao has collaborated frequently with several researchers in the field, including:

  • Jiaya Jia
  • Xiaoyang Wu
  • Zhuotao Tian
  • Li Jiang
  • Philip H. S. Torr

Best Publications

  • Pyramid Scene Parsing Network

    Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang

  • Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

    Sixiao Zheng;Jiachen Lu;Hengshuang Zhao;Xiatian Zhu

  • ICNet for Real-Time Semantic Segmentation on High-Resolution Images

    Hengshuang Zhao;Xiaojuan Qi;Xiaoyong Shen;Jianping Shi

  • PSANet: Point-wise Spatial Attention Network for Scene Parsing

    Hengshuang Zhao;Yi Zhang;Shu Liu;Jianping Shi

  • Exploring Self-Attention for Image Recognition

    Hengshuang Zhao;Jiaya Jia;Vladlen Koltun

  • PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing

    Hengshuang Zhao;Li Jiang;Chi-Wing Fu;Jiaya Jia

  • Stratified Transformer for 3D Point Cloud Segmentation

    Unknown

  • Prior Guided Feature Enrichment Network for Few-Shot Segmentation.

    Zhuotao Tian;Hengshuang Zhao;Michelle Shu;Zhicheng Yang

  • PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

    Mutian Xu;Runyu Ding;Hengshuang Zhao;Xiaojuan Qi

  • Distilling Knowledge via Knowledge Review

    Pengguang Chen;Shu Liu;Hengshuang Zhao;Jiaya Jia

  • PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

    Li Jiang;Hengshuang Zhao;Shaoshuai Shi;Shu Liu

  • UPSNet: A Unified Panoptic Segmentation Network

    Yuwen Xiong;Renjie Liao;Hengshuang Zhao;Rui Hu

  • LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

    Unknown

  • SegStereo: Exploiting Semantic Information for Disparity Estimation

    Guorun Yang;Hengshuang Zhao;Jianping Shi;Zhidong Deng

  • GridMask Data Augmentation

    Pengguang Chen;Shu Liu;Hengshuang Zhao;Jiaya Jia

  • Semi-supervised Semantic Segmentation with Directional Context-aware Consistency

    Xin Lai;Zhuotao Tian;Li Jiang;Shu Liu

  • Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

    Li Jiang;Hengshuang Zhao;Shu Liu;Xiaoyong Shen

  • Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

    Unknown

  • Fully Convolutional Networks for Panoptic Segmentation

    Yanwei Li;Hengshuang Zhao;Xiaojuan Qi;Liwei Wang

  • Augmented Feedback in Semantic Segmentation Under Image Level Supervision

    Xiaojuan Qi;Zhengzhe Liu;Jianping Shi;Hengshuang Zhao

  • Bidirectional Projection Network for Cross Dimension Scene Understanding

    Wenbo Hu;Hengshuang Zhao;Li Jiang;Jiaya Jia

  • Dual-Cross Central Difference Network for Face Anti-Spoofing

    Zitong Yu;Yunxiao Qin;Hengshuang Zhao;Xiaobai Li

  • Generalized Few-Shot Semantic Segmentation.

    Zhuotao Tian;Xin Lai;Li Jiang;Michelle Shu

Frequent Co-Authors

Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Xiaojuan Qi
Xiaojuan Qi University of Hong Kong
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Jianping Shi
Jianping Shi SenseTime
Xiaoyong Shen
Xiaoyong Shen SmartMore Corporation
Chi-Wing Fu
Chi-Wing Fu Chinese University of Hong Kong
Liwei Wang
Liwei Wang Peking University
Guoying Zhao
Guoying Zhao University of Oulu
Zhe Lin
Zhe Lin Adobe Systems (United States)
Vladlen Koltun
Vladlen Koltun Apple (United States)

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