Xianzhi Li

李贤芝

Associate Professor

School of Computer Science and Technology
Huazhong University of Science and Technology (华中科技大学)
Wuhan, Hubei Province

Email: xzli [at] hust [dot] edu [dot] cn

Now Looking for!!!

  • Mphil opening: 3D vision, 3D reconstruction, point cloud processing, etc.
Note: passion in research, hardworking, creative, and well-motivated for high-quality research!


Biography

I am an associate professor at Huazhong University of Science and Technology (HUST). My research interests include 3D vision, computer graphics, point cloud processing, and deep learning. I am dedicated to designing machine learning algorithms for processing, analyzing, and sensing 3D data.

Before joining HUST, I was a post-doctoral fellow at The Chinese University of Hong Kong (CUHK) and Hong Kong Center for Logistics Robotics. I have received my Ph.D. degree from the Department of Computer Science and Engineering, CUHK, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Before that, I received the M.Sc. from Biomedical Engineering at CUHK in 2015 and B. Eng. from Biomedical Engineering at Sichuan University in 2014.

News

Selected Publications [Google Scholar]

                                                
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion.
Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen.
AAAI 2023.

( Corresponding author)

[code]

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation.
Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Hwang Kai.
NAACL Findings 2022.

[code]

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking.
Yidan Feng*, Biqi Yang*, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, and Pheng-Ann Heng.
IEEE International Conference on Robotics and Automation (ICRA), 2022.

(* Joint first author; Corresponding author)

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking.
Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, and Pheng-Ann Heng.
IEEE Robotics and Automation Letters (RA-L), 2022. (Also accepted by ICRA 2022.)

RePCD-Net: Feature-aware Recurrent Point Cloud Denoising Network.
Honghua Chen, Zeyong Wei, Xianzhi Li, Yabin Xu, Mingqiang Wei, Jun Wang.
International Journal of Computer Vision (IJCV), 2022.

[code]

A Rotation-invariant Framework for Deep Point Cloud Analysis.
Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021.

[code]

SP-GAN: Sphere-guided 3D Shape Generation and Manipulation.
Ruihui Li, Xianzhi Li, Ka-Hei Hui, Chi-Wing Fu.
ACM SIGGRAPH, 2021.

[code]

Point Cloud Upsampling via Disentangled Refinement.
Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

( Corresponding author)

[code]

DNF-Net: a Deep Normal Filtering Network for Mesh Denoising.
Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020.

[code]

Unsupervised Detection of Distinctive Regions on 3D Shapes.
Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
ACM Transactions on Graphics (TOG), 2020.

[code]

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification.
Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (oral)

[code]

PU-GAN: a Point Cloud Upsampling Adversarial Network.
Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
IEEE International Conference on Computer Vision (ICCV), 2019.

[code]

Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention.
Zhiliang Zeng, Xianzhi Li, Chi-Wing Fu, Ying-Kin Yu.
IEEE International Conference on Computer Vision (ICCV), 2019.

[code]

Non-local Low-rank Normal Filtering for Mesh Denoising.
Xianzhi Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng
Computer Graphics Forum (Pacific Graphics), 2018.

[code]

EC-Net: and Edge-aware Point Set Consolidation Network.
Lequan Yu*, Xianzhi Li*, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
European Conference on Computer Vision (ECCV), 2018.

(* Joint first author)

[project page]

PU-Net: Point Cloud Upsampling Network.
Lequan Yu*, Xianzhi Li*, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

(* Joint first author)

[code]

Honors & Awards

Teaching Assistant of Merit, 2018
Biomedical Engineering Scholarship, 2015
Outstanding Graduates of Sichuan University, 2014
National Scholarship in China, 2013

Teaching

2022春季计算机视觉
2018-2019SpringCSCI 5210 Advanced Topics in Computer Graphics and Visualization
2017-2018FallCSCI3260 Principles of Computer Graphics
2017-2018SpringCSCI2100 Data Structure
2016-2017FallCSCI3260 Principles of Computer Graphics


© Xianzhi Li