Haoang Li

Welcome to my homepage! I am Haoang Li (pronounced as "Horn Lee"). I am currently an Assistant Professor at The Hong Kong University of Science and Technology (Guangzhou)


My research interest lies in 3D computer vision and robot navigation.  I solve problems based on both optimization algorithms and deep learning.

Previously, I mainly focused on geometric SLAM and 3D reconstruction. In the future, along with my students, we will work on the following directions:


I am looking for Ph.D. students, Research Assistants, and Interns/Visiting Students. For details, please refer to this [document] (currently only in Chinese; I will provide an English version in the future).


Email: haoang.li.cuhk@gmail.com (I may fail to reply to your email in time due to the relatively heavy workload recently. I will get back to you as soon as possible. Thank you for your understanding!)

Experience 

          Leader of Intelligent Robot Perception and Navigation (IRPN) Lab

          Supervisor: Prof. Daniel Cremers

          Supervisor: Prof. Yun-Hui Liu

          Supervisor: Prof. Marc Pollefeys

           Supervisor: Prof. Jian Yao

Publications (selected)

Please refer to Google Scholar for the full publication list. The download links of codes and/or datasets are available in the papers.


"J": Journal, "C": Conference, "*": Co-first authorship

Computer Vision

[C7] Haoang Li*, Jinghu Dong*, Binghui Wen*, Ming Gao*, Tianyu Huang, Yun-Hui Liu, and Daniel Cremers, "DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates," in IEEE/CVF International Conference on Computer Vision (ICCV), 2023.

[J3] Haoang Li, Ji Zhao, Jean-Charles Bazin, Pyojin Kim, Kyungdon Joo, Zhenjun Zhao, and Yun-Hui Liu, "Hong Kong World: Leveraging Structural Regularity for Line-based SLAM," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

[C6] Tianyu Huang*, Haoang Li*, Kejing He, Congying Sui, Bin Li, and Yun-Hui Liu, "Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

[J2] Haoang Li, Ji Zhao, Jean-Charles Bazin, and Yun-Hui Liu, "Quasi-globally Optimal and Near/True Real-time Vanishing Point Estimation in Manhattan World," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

[C5] Wen Chen*, Haoang Li*, Qiang Nie, and Yun-Hui Liu, "Deterministic Point Cloud Registration via Novel Transformation Decomposition," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

[C4] Haoang Li*, Kai Chen*, Pyojin Kim, Kuk-Jin Yoon, Zhe Liu, Kyungdon Joo, and Yun-Hui Liu, "Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation," IEEE/CVF International Conference on Computer Vision (ICCV), 2021.

[C3] Haoang Li, Kai Chen, Ji Zhao, Jiangliu Wang, Pyojin Kim, Zhe Liu, and Yun-Hui Liu, "Learning to Identify Correct 2D-2D Line Correspondences on Sphere," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[J1] Haoang Li, Ji Zhao, Jean-Charles Bazin, and Yun-Hui Liu, "Robust Estimation of Absolute Camera Pose via Intersection Constraint and Flow Consensus," IEEE Transactions on Image Processing (TIP), 2020.

[C2] Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu, and Yun-Hui Liu, "Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World," European Conference on Computer Vision (ECCV), 2020.

[C1] Haoang Li, Ji Zhao, Jean-Charles Bazin, Wen Chen, Zhe Liu, and Yun-Hui Liu, "Quasi-globally Optimal and Efficient Vanishing Point Estimation in Manhattan World," IEEE/CVF International Conference on Computer Vision (ICCV), oral presentation, 2019.

Robotics

[C6] Haoang Li, Wen Chen, Ji Zhao, Jean-Charles Bazin, Lei Luo, Zhe Liu, and Yun-Hui Liu, "Robust and Efficient Estimation of Absolute Camera Pose for Monocular Visual Odometry," IEEE International Conference on Robotics and Automation (ICRA), 2020. 

[C5] Haoang Li, Ji Zhao, Jean-Charles Bazin, Wen Chen, Kai Chen, and Yun-Hui Liu, "Line-based Absolute and Relative Camera Pose Estimation in Structured Environments," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.

[C4] Haoang Li, Yazhou Xing, Ji Zhao, Jean-Charles Bazin, Zhe Liu, and Yun-Hui Liu, "Leveraging Structural Regularity of Atlanta World for Monocular SLAM," IEEE International Conference on Robotics and Automation (ICRA), 2019.

[C3] Haoang Li, Ji Zhao, Jean-Charles Bazin, Lei Luo, Junlin Wu, and Jian Yao, "Robust Camera Pose Estimation via Consensus on Ray Bundle and Vector Field," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.

[C2] Haoang Li, Jian Yao, Jean-Charles Bazin, Xiaohu Lu, Yazhou Xing, and Kang Liu, "A Monocular SLAM System Leveraging Structural Regularity in Manhattan World," IEEE International Conference on Robotics and Automation (ICRA), 2018.

[C1] Haoang Li, Jian Yao, Xiaohu Lu, and Junlin Wu, "Combining Points and Lines for Camera Pose Estimation and Optimization in Monocular Visual Odometry," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.

Awards (selected)

Professional Services