赵恒爽

助理教授

具身智能与计算机视觉中心

教育背景

2015-2019：香港中文大学，博士
2011-2015：华中科技大学，学士

工作经历

至今，香港大学，助理教授
2021-2022：麻省理工学院，博士后
2020-2021：牛津大学，博士后

研究方向

计算机视觉、具身智能、机器学习、人工智能

个人网站

https://www.ai.hku.hk/~hszhao

邮箱

hengshuangzhao@slai.edu.cn

个人简介

赵恒爽，博士，香港大学计算与数据科学学院助理教授、国家优秀青年基金获得者，曾在麻省理工学院和牛津大学从事博士后研究。主要研究方向为计算机视觉、具身智能、机器学习与人工智能，致力于构建智能视觉系统。在CVPR、NeurIPS、TPAMI等顶级期刊和会议发表论文120余篇，研究成果被引约5.5万次。担任CVPR、ICCV、ECCV、NeurIPS、ICML和ICLR等会议的领域主席，以及IEEE TPAMI、Pattern Recognition的副编辑和IEEE TCSVT的客座编辑。

学术著作

Representative Publications：

1. Pyramid Scene Parsing Network

Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

2. ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia

European Conference on Computer Vision (ECCV), 2018

3. PSANet: Point-wise Spatial Attention Network for Scene Parsing

Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia

European Conference on Computer Vision (ECCV), 2018

4. PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

5. Exploring Self-attention for Image Recognition

Hengshuang Zhao, Jiaya Jia, Vladlen Koltun

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

6. Point Transformer

Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun

IEEE International Conference on Computer Vision (ICCV), 2021

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

Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao

Neural Information Processing Systems (NeurIPS), 2022

8. Point Transformer V3: Simpler, Faster, Stronger

Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

9. Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

10. Depth Anything V2

Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

Neural Information Processing Systems (NeurIPS), 2024