Ping Tan

Director of the Center, Professor

Center for Embodied Artificial Intelligence and Computer Vision

Education Background
  • 2003-2007, Hong Kong University of Science and Technology，Doctor
  • 2000-2003, Shanghai Jiao Tong University, Master
  • 1996-2000, Shanghai Jiao Tong University, Bachelor

 

工作经历：

  • 2007-2014, National University of Singapore, Assistant Professor, Associate Professor
  • 2014-2019, Simon Fraser University, Canada, Associate Professor
  • 2019-2022, DAMO Academy, Alibaba, Head of XR Lab 
  • 2023–present， The Hong Kong University of Science and Technology, Professor
  • 2025–present，Shenzhen Loop Area Institute, Director of the Center, Professor
Research Fields
Data Science and AI (DSAI), Control and Robotic Systems (CRS)
Email
pingtan@slai.edu.cn
Biography

Dr. Tan is a professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST, he served as the director of the XR Lab at Alibaba DAMO Academy from 2019 to 2022, an associate professor at Simon Fraser University (SFU) in Canada from 2014 to 2019, and an assistant and associate professor at the National University of Singapore (NUS) from 2007 to 2014.

Dr. Tan received his PhD from HKUST in 2007 and his Master's and Bachelor's degrees from Shanghai Jiao Tong University (SJTU) in 2003 and 2000, respectively.

He specializes in computer vision, computer graphics, and robotics, with a research focus on 3D vision.

Academic Publications
  1. DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT Xiaotao Hu, Wei Yin, Mingkai Jia, Junyuan Deng, Xiaoyang Guo, Qian Zhang, Xiaoxiao Long, Ping Tan, ArXiv 2412.19505, 2025
  2. SkillMimic: Learning Reusable Basketball Skills from Demonstrations Yinhuai Wang, Qihan Zhao, Runyi Yu, Ailing Zeng, Jing Lin, Zhengyi Luo, Hok Wai Tsui, Jiwen Yu, Xiu Li, Qifeng Chen, Jian Zhang, Lei Zhang, Ping Tan, International Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  3. CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner Weiyu Li, Jiarui Liu, Rui Chen, Yixun Liang, Xuelin Chen, Ping Tan, Xiaoxiao Long, International Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  4. RaDe-GS: Rasterizing Depth in Gaussian Splatting Baowen Zhang, Chuan Fang, Rakesh Shrestha, Yixun Liang, Xiaoxiao Long, Ping Tan, ArXiv 2406.01467, 2024
  5. Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints Chuan Fang, Yuan Dong, Kunming Luo, Xiaotao Hu, Rakesh Shrestha, Ping Tan, International Conference on 3D Vision (3DV), 2025
  6. SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan, International Conference on Learning Representations (ICLR), 2024
  7. High-resolution Volumetric Reconstruction for Clothed Humans Sicong Tang, Guangyuan Wang, Qing Ran, Lingzhi Li, Li Shen, Ping Tan, ACM Transactions on Graphics (TOG), Volume 42, Issue 5, 2023
  8. Streaming Radiance Fields for 3D Video Synthesis Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, Ping Tan, Conference on Neural Information Processing Systems (NeurIPS), 2022
  9. QuadTree Attention for Vision Transformers Shitao Tang, Jiahui Zhang, Siyu Zhu, Ping Tan, International Conference on Learning Representations (ICLR), 2022
  10. RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging Heng Li, Zhaopeng Cui, Shuaicheng Liu, Ping Tan, International Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  11. NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, Ping Tan, International Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  12. GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings Zhaohua Zheng, Jianfang Li, Lingjie Zhu, Honghua Li, Frank Petzold, Ping Tan, International Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  13. OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Minghao Gou, Songyan Xin, Maximo A. Roa, Berk Calli, Hao Su, Yu Sun, Ping Tan, IEEE Robotics and Automation Letters (RAL), 2021
  14. CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution Lizhe Liu, Xiaohao Chen, Siyu Zhu, Ping Tan, International Conference on Computer Vision (ICCV), 2021
  15. FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting Zhiwen Fan, Lingjie Zhu, Honghua Li, Xiaohao Chen, Siyu Zhu, Ping Tan, International Conference on Computer Vision (ICCV), 2021