Zhengzhe Liu

PhD candidate

Dept. of Computer Science and Engineering
The Chinese University of Hong Kong
Hong Kong

Email: zzliu [at] cse.cuhk.edu.hk

Biography

I am a PhD student in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK), supervised by Prof. Chi-Wing Fu. Before that, I got MPhil from The Chinese University of Hong Kong and Bachelor from Shanghai Jiao Tong University (SJTU). My research interest includes AI Generated Content (AIGC), Computer Graphics, and 3D Generation.

Experience

Carnegie Mellon University, Pittsburgh, United States

2024.5~

Incoming Post Doctoral Associate
Adobe Research, San Jose, United States

2023.7~2023.10

Research Intern
Topic: Scene Decomposition and Diffusion Models

Selected Publications [Google Scholar]

*: equal contribution, †: corresponding author

EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi, Daniel Cohen-Or, Chi-Wing Fu
SIGGRAPH Asia (Journal Track), 2023.
ACM Transactions on Graphics (TOG), 2023,
[Code] [Project page]
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration
Jingyu Hu*, Ka-Hei Hui*, Zhengzhe Liu, Hao (Richard) Zhang, Chi-Wing Fu
SIGGRAPH Asia, 2023.
Texture Generation on 3D Meshes with Point-UV Diffusion
Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu†, Xiaojuan Qi† (†: Corresponding author)
IEEE International Conference on Computer Vision (ICCV) Oral , 2023.
[Project page]
DreamStone : Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
[Code] [Project page]
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Jingyu Hu*, Ka-Hei Hui*, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu
ACM Transactions on Graphics (TOG), 2023.
MGFN++: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Yingxian Chen, Weibin Kou, Wilton Fok, Zhengzhe Liu†, Xiaojuan Qi, Yik-Chung Wu† (†: Corresponding author)
Preprint, 2023.
Command-driven Articulated Object Understanding and Manipulation
Ruihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2023.
[Code]
ISS : Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
International Conference on Learning Representations (ICLR) Spotlight , 2023.
[Code]
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
Book chapter in the incoming book “ Towards Realistic 3D Deep Learning: Algorithms and Applications”, edited by Xiaoli Li, Xulei Yang, and Hao Su. World Scientific, 2023
[Code]
MGFN : Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton Fok, Xiaojuan Qi, Yik-Chung Wu
AAAI Conference on Artificial Intelligence (AAAI) Oral , 2023.
[Code]
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
Tianyu Wang, Xiaowei Hu, Zhengzhe Liu, Chi-Wing Fu
Neural Information Processing Systems (NeurIPS), 2022.
[Code]
Towards Implicit Text-Guided 3D Shape Generation
Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2022.
[Code]
TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation
Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2022.
[Code]
MEN: Mutual Enhancement Networks for Sign Language Recognition and Education
Zhengzhe Liu, Lei Pang, Xiaojuan Qi.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
3D-to-2D Distillation for Indoor Scene Parsing
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
IEEE Conference on Computer Vision and pattern Recognition (CVPR), Oral (4.3% acceptance rate) , 2021.
[Code]
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
[Code][Video]
Global Texture Enhancement for Fake Face Detection in the Wild
Zhengzhe Liu, Xiaojuan Qi, Philip H.S. Torr.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Code]
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
Xiaojuan Qi*, Zhengzhe Liu*, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[Code][Training data]
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis
Xiaojuan Qi*, Zhengzhe Liu*, Qifeng Chen, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Self-Boosted Gesture Interactive System with ST-Net
Zhengzhe Liu* , Xiaojuan Qi*, Lei Pang.
ACM Multimedia Conference (ACM MM), 2018.
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.
[Code][Training data]
Augmented Feedback in Semantic Segmentation under Image Level Supervision
Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2016.