Short Bio

I obtained my Ph.D. degree (2020-2024) in Computer Science at City University of Hong Kong, supervised by Prof. Junhui Hou. I was also so fortunate to work with Prof. Ying He from NTU and Prof. Wenping Wang from TAMU. Previously, I worked as a research intern guided by Prof. Runmin Cong. I received my B.Sc. degree in Electronic Information Science and Technology at 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 object detection, got accepted by NeurIPS-2023.
  • [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.
  • [2024.06.16] One paper, SPCV for spatio-temporal structurization of dynamic 3D point cloud sequences, got accepted by TPAMI.
  • [2024.09.26] One paper, Flatten Anything Model (FAM) for neural surface parameterization (UV unwrapping), got accepted by NeurIPS-2024. I really like this work!

Research

The latest trend in the artificial intelligence era continues to blur the boundaries of different research domains and data modalities. In general, I have broad interests in developing deep learning models to solve various geometry, vision, and graphics problems.

In the past few years, my research mainly includes the following tasks and topics:

  • Geometric (Mesh, Point Cloud, Implicit Field) Computing and Modeling;
  • Neural 3D Representation, Rendering, Reconstruction, and Generation;
  • Multi-Modal (2D-3D, Visual-Geometric) Learning: Pre-training, Alignment, Fusion, Distillation.

Currently, I focus on neuralized geometry processing pipelines, i.e., (1) (at the data level) exploring neural representations for geometric data; (2) (at the model level) replacing conventional geometric computation/optimization algorithms with more powerful neural architectures.

Selected Publications

Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images
Yingzhi Tang, Qijian Zhang, Junhui Hou, Yebin Liu
Pre-print

Flatten Anything: Unsupervised Neural Surface Parameterization
Qijian Zhang, Junhui Hou, Wenping Wang, Ying He
NeurIPS 2024
Dynamic 3D Point Cloud Sequences as 2D Videos
Yiming Zeng, Junhui Hou, Qijian Zhang, Siyu Ren, Wenping Wang
TPAMI 2024
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

Airport Extraction via Complementary Saliency Analysis and Saliency-Oriented Active Contour Model
Qijian Zhang, Libao Zhang, Wenqi Shi, Yue Liu
GRSL 2018
Integrating Sparse Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction
Qijian Zhang, Wenqi Shi, Libao Zhang, Yue Liu
ICIP 2018