Short Bio
I am currently a final-year Ph.D. student in the Department of Computer Science at the City University of Hong Kong, supervised by Prof. Junhui Hou. I was also fortunate to work closely with Prof. Wenping Wang, Prof. Ying He, and Prof. Runmin Cong. Previously, I received my B.Sc. degree in Electronic Information Science and Technology from Beijing Normal University.
News
- [2023.07.02] Personal homepage created.
- [2023.09.23] Two papers (NeuroGF for neural geodesics learning, UPIDet for cross-modal 3D detection) got accepted by NeurIPS-2023. See you in New Orleans! 😃
- [2023.12.04] One paper (Cross-PCC for cross-modal image-assisted unsupervised 3D point cloud completion) got accepted by TMM.
- [2023.12.19] One paper (PointVST for self-supervised 3D point cloud backbone pre-training) got accepted by TVCG.
Research
The latest trend in the artificial intelligence (AI) era continues to blur the boundaries of different research domains and data modalities. In general, I have a broad interest in developing deep learning models to solve various 3D geometry, vision, and graphics problems.
In the past few years, my research mainly focuses on the following topics and tasks:
- 3D Point Cloud Processing; Geometric Computing and Modeling
- Cross-Modal (2D-3D, Visual-Geometric) Learning
- Neural Representation, Rendering, and Reconstruction
Selected Publications
 | PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation
Qijian Zhang, Junhui Hou
TVCG 2023 |
 | Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu
TMM 2023 |
 | NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Qijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma, Wenping Wang, Ying He
NeurIPS 2023 |
 | Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing
NeurIPS 2023 |
 | PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition
Qijian Zhang, Junhui Hou, Yue Qian
TMM 2023 |
 | GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan
IJCV 2023 |
 | Task-Oriented Compact Representation of 3D Point Clouds via A Matrix Optimization-Driven Network
Yue Qian, Junhui Hou, Qijian Zhang, Yiming Zeng, Sam Kwong, Ying He
TCSVT 2023 |
 | Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
Qijian Zhang, Junhui Hou, Yue Qian, Yiming Zeng, Juyong Zhang, Ying He
TPAMI 2023 |
 | RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds
Qijian Zhang, Junhui Hou, Yue Qian, Antoni B. Chan, Juyong Zhang, Ying He
IJCV 2022 |
 | WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
Yingzhi Tang, Yue Qian, Qijian Zhang, Yiming Zeng, Junhui Hou, Xuefei Zhe
CVPR 2022 |
 | IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
Yiming Zeng, Yue Qian, Qijian Zhang, Junhui Hou, Yixuan Yuan, Ying He
CVPR 2022 |
 | Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong
TIP 2021 |
 | CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Qijian Zhang*, Runmin Cong* , Junhui Hou, Chongyi Li, Yao Zhao
NeurIPS 2020 |
