Biography
I am a postdoctoral associate at Carnegie Mellon University. I obtained my PhD degree from Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK), supervised by Prof. Chi-Wing Fu.
I got MPhil from The Chinese University of Hong Kong and Bachelor from Shanghai Jiao Tong University (SJTU).
My research interest includes GenAI, Multimodality, 3D Vision, 3D Generation, Computer Graphics, and AI4Science.
*: equal contribution, †: corresponding author
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What Matters in Detecting AI-Generated Videos like Sora?
Chirui Chang, Zhengzhe Liu, Xiaoyang Lyu, Xiaojuan Qi
Preprint, 2024.
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Zero-shot 3D-Aware Text-driven Talking Avatar Generation
Xiuzhe Wu,
Yang-Tian Sun,
Handi Chen,
Hang Zhou,
Jingdong Wang,
Zhengzhe Liu,
Xiaojuan Qi
European Conference on Computer Vision (ECCV), 2024.
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Object-level Scene Deocclusion
Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu
SIGGRAPH, 2024.
[Project page]
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CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization
Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao (Richard) Zhang, Chi-Wing Fu
SIGGRAPH, 2024.
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Make-A-Shape: a Ten-Million-scale 3D Shape Model
Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu
International Conference on Machine Learning (ICML), 2024.
[Project page]
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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]
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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.
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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]
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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]
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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.
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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.
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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]
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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]
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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
World Scientific Annual Review of Artificial Intelligence, 2024 (Invited paper)
[Code]
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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]
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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]
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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]
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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]
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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.
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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]
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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]
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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]
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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]
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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.
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Self-Boosted Gesture Interactive System with ST-Net
Zhengzhe Liu* , Xiaojuan Qi*, Lei Pang.
ACM Multimedia Conference (ACM MM), 2018.
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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]
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Augmented Feedback in Semantic Segmentation under Image Level Supervision
Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2016.
Honors and Awards
CUHK Postgraduate Research Output Award 2023
Microsoft Research Asia (MSRA) Fellowship Nomination Award 2022 (33 in Asia).
Shanghai Excellent Graduate Award
Meritorious Winner of MCM (Mathematical Contest in Modeling)
Excellent Student Scholarship for 3 times, Shanghai Jiao Tong University
Litian Tangren Scholarship (RMB 10,000)
Professional Activities
- Conference Review:
ACM SIGGRAPH Asia 2023.
International Conference on Machine Learning (ICML) 2024.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2022, 2021.
International Conference on Learning Representations (ICLR) 2023.
Neural Information Processing Systems (NeurIPS) 2023.
European Conference on Computer Vision (ECCV) 2022.
International Conference on Computer Vision (ICCV) 2023, 2021.
Association for the Advancement of Artificial Intelligence (AAAI) 2021.
- Journal Review:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
International Journal of Computer Vision (IJCV).
IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
IEEE Transactions on Image Processing (TIP).
IEEE Transactions on Multimedia (TMM).
Pattern Recognition (PR).
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
IEEE Transactions on Intelligence Transportation Systems (TITS).
Computers in Biology and Medicine (CIBM).
- Invited Talk:
CVPR 2024. C3DV: 2nd Workshop On Compositional 3D Vision. 2024.6 [Link]
Multi-Modal Symposium 2024. 2024.4 [Link]
Carnegie Mellon University. Topic: Modeling and Creating the 3D World. 2023.10
ZhiDongXi (智東西) 以圖為梯——從文字到 3D 形狀生成. 2023.6 [Link][Video]
AI TIME: ICLR sharing session. 2023.6 [Video]
CVPR 2022 Workshop on ScanNet Indoor Scene Understanding Challenge. 2022.6 [Link][Video]
Experience
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2023.7~2023.10
Research Intern
Topic: Scene Decomposition and Diffusion Models
Teaching Assistants
CSCI 3170. Introduction to Database Systems |
ENGG 2020. Digital Logic and Systems |
CSCI 3180. Principles of Programming Languages |
CSCI 1580. Visual Programming |
ENGG 1100. Engineering and Design |