Weiguang Zhao (赵伟光)

Ph.D. Candidate (second year)

University of Liverpool

weiguang.zhao@liverpool.ac.uk

Research interests: 3D Scene Understanding & Robotics

Github / Goolge Scholar / Youtube / Twitter

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Biography

I am a second-year Ph.D. candidate in Computer Science department at University of Liverpool in UK, based off-site at Xi'an Jiaotong-Liverpool University in China. I am fortunate to be co-advised by Prof. Kaizhu Huang, Prof. Rui Zhang, Prof. Qiufeng Wang, and Prof. Guangliang Cheng. I received my Bachelor’s degree in Electronic Information Science and Technology from Heilongjiang University and my Master’s degree in MRes Pattern Recognition and Intelligent Systems from University of Liverpool. Previously, I have worked or interned at DJI and Duke (Kunshan) University. My research interests include: 3D Vision & Robotics. Feel free to contact me via email for discussions or any potential opportunities.

Recent News:
[Feb. 2025] Two papers on point cloud has been accepted by CVPR.
[Sep. 2024] One paper on point cloud has been accepted by Neural Networks (NN).
[Sep. 2024] One paper on point cloud has been accepted by Pattern Recognition (PR).
[Aug. 2024] I got the 2st place in ScanNet200 3D semantic segmentation benchmark.
[Jul. 2023] One paper on point cloud has been accepted by ICCV.
[Jan. 2023] I got the 1st place in ScanNetV2 3D instance segmentation benchmark.

Publications (Selected)

Conferences

3DAD

BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis
W. Zhao, R. Zhang, Q. Wang, G. Cheng, K. Huang
Conference on Computer Vision and Pattern Recognition (CVPR), 2025, CCF-A
[ arXiv] [ Code]

3DAD

PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection
J. Ye*, W. Zhao*, X. Yang, G. Cheng, K. Huang
Conference on Computer Vision and Pattern Recognition (CVPR), 2025, CCF-A
[ arXiv] [ Code]

DF_MVR

From 2D images to 3D model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
W. Zhao*, C. Yang*, J. Ye*, R. Zhang, Y. Yan, X. Yang, etc.
International Conference on Multimedia and Expo (ICME), 2025, CCF-B
[ arXiv] [ Code]

PBNet

Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
W. Zhao, Y. Yan, C. Yang, J. Ye, X. Yang, K. Huang
International Conference on Computer Vision (ICCV), 2023, CCF-A
[ Paper] [ Code] [ Video]

Journals

Diff_OP3D

Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges
W. Zhao*, G. Yang*, R. Zhang, C. Jiang, C. Yang, Y. Yan, A. Hussain, K. Huang
Neural Networks (NN), 2024, SCI-Q1, CCF-B
[ Paper] [ Code]

MPANet

Revisiting 3D point cloud analysis with Markov process
C. Jiang, W. Ma, K. Huang, Q. Wang, X. Yang,W. Zhao, J. Wu, X. Wang, etc.
Pattern Recognition (PR), 2024, SCI-Q1, CCF-B
[ Paper] [ Code]

Preprints

3DOPG

Efficient Interactive 3D Multi-Object Removal
J. Ni*, W. Zhao*, D. Wang, Z. Zeng, C. You, A. Wong, K. Huang
arXiv , 2025 , Under Review
[ arXiv] [Code]

3DAD

Towards Training-Free Open-World Classification with 3D Generative Models
X. Xia*, W. Zhao*, Y. Yan, G. Yang, R. Zhang, K.Huang, X. Yang
arXiv , 2025 , Under Review
[ arXiv] [Code]

3DOPG

Towards Cross-device and Training-free Robotic Grasping in 3D Open World
W. Zhao*, C. Jiang*, C. Zhang. J. Sun, Y. Yan, R. Zhang, K. Huang
arXiv , 2024 , Under Review
[ arXiv] [Code]

KDTalk

Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait
C. Yang, K. Yao, Y. Yan, C. Jiang, W. Zhao, J. Sun, etc.
arXiv , 2025, Under Review
[ arXiv] [ Code] [ Demo]

Robotics (Selected)

vrv

Towards Cross-device and Training-free Robotic Grasping in 3D Open World, 2022-2024
Responsibilities: Project Holder; Coder
Keys: Point Cloud; Cross-device; Training-free; Open World
DJISDK

DJI SDK, 2018-2020
Responsibilities: Coder; Maintainer
Keys: Flight Control; Onboard SDK; Payload SDK;

vrv

Design and Implementation of Survey Vehicle Based on VR, 2017-2018
National Undergraduate Innovation Training Program
Responsibilities: Project Holder; Coder
Keys: Gesture-based Control; Multi-machine Communication; VR Imaging;

Attitude Control and Flight of Quadcopter, 2016-2017
University Undergraduate Innovation Training Program
Responsibilities: Project Holder; Coder
Keys: Flight Control From Scratch; GPS Positioning; Ultrasonic Hover


Invention Patents

CN117456236B 3D point cloud zero-shot classification method, device, electronic device and storage medium.
CN114266860B 3D face model establishment method, device, electronic device and storage medium.
CN116580267A Generating defect samples method, device, electronic device and storage medium.
CN202510224283.6 Object removal based on 3D scenes methods, device, electronic device and medium.
CN202510224297.8 Digital human drive method, device, electronic device and storage medium.
CN202510224304.4 3D point cloud data segmentation method, device, electronic device and storage medium.


Service

Conference Review Service: CVPR, ICCV, ICLR, ICRA, ICME, etc.
Journal Review Service: TCSVT, Information Fusion, Neural Networks, JBHI, CAIS, etc.

Teaching Assistants:
STATS 302: Principle of Machine Learning         Duke (Kunshan) University, 2023 Fall
ECE 590K: Introduction to Deep Learning         Duke (Kunshan) University, 2024 Spring
ECE580K: Introduction to Machine Learning         Duke (Kunshan) University, 2025 Spring