• 2003-2007年，香港科技大学，博士
• 2000-2003年，上海交通大学，硕士
• 1996-2000年，上海交通大学，学士

工作经历：

• 2025-至今 深圳河套学院，中心主任、 教授
• 2023-至今，香港科技大学，教授
• 2019-2022，阿里巴巴达摩院，XR实验室负责人
• 2014-2019，加拿大西蒙弗雷泽大学，副教授
• 2007-2014，新加坡国立大学，助理教授、副教授

谭平博士现任香港科技大学电子与计算机工程学系教授，兼任河套学院具身智能与计算机视觉中心主任。此前，他曾担任阿里巴巴达摩院 XR 实验室负责人，并先后任教于加拿大西蒙菲莎大学和新加坡国立大学，担任副教授。谭平博士于2007年获得香港科技大学博士学位，并分别于2003年和2000年获得硕士及学士学位。他的主要研究方向包括三维计算机视觉，以及相关技术在机器人和计算机图形学中的应用。

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