About Me

I am currently a forth-year Ph.D student at Computer Vision Lab (CVLab), École polytechnique fédérale de Lausanne (EPFL), supervised by Dr. Mathieu Salzmann and Prof. Pascal Fua. Before that, I completed my bachelor's and master's degrees at Huazhong University of Science and Technology (HUST). My research is centered around 3D computer vision, with a specific focus on multi-view geometry and point cloud analysis.
I am actively seeking opportunities for a postdoctoral position starting in the spring of next year.

Chen Zhao Profile Image

Ph.D Candidate

Computer Vision Lab (CVLab)
École Polytechnique Fédérale de Lausanne (EPFL)

News

alt text [2024-02] Two papers accepted by CVPR 2024.
[2024-01] One paper accepted by ICLR 2024.
[2023-10] Two papers accepted by 3DV 2024.
[2022-07] Two papers accepted by ECCV 2022.

Publications


3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation

Chen Zhao, Tong Zhang, Mathieu Salzmann

Proceedings of the International Conference on Learning Representations (ICLR), 2024

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LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation

Chen Zhao, Yinlin Hu, Mathieu Salzmann

Proceedings of the International Conference on 3D Vision (3DV), 2024

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Unsupervised 3D Keypoint Discovery with Multi-View Geometry

Sina Honari, Chen Zhao, Mathieu Salzmann, Pascal Fua

Proceedings of the International Conference on 3D Vision (3DV), 2024


Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects

Chen Zhao, Yinlin Hu, Mathieu Salzmann

Proceedings of the European Conference on Computer Vision (ECCV), 2022

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Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction

Haocheng Yuan, Chen Zhao, Shichao Fan, Jiaxi Jiang, Jiaqi Yang

Proceedings of the European Conference on Computer Vision (ECCV), 2022


Rotation invariant point cloud classification: Where local geometry meets global topology

Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li

Pattern Recognition, 2022


Progressive Correspondence Pruning by Consensus Learning

Chen Zhao*, Yixiao Ge*, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann (*Co-first Authors)

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Project    Code    Video

Image feature correspondence selection: a comparative study and a new contribution

Chen Zhao, Zhiguo Cao, Jiaqi Yang, Ke Xian, Xin Li

IEEE Transactions on Image Processing (TIP), 2020


Sparse-to-dense depth completion revisited: Sampling strategy and graph construction

Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li

Proceedings of the European Conference on Computer Vision (ECCV), 2020


Learning to fuse local geometric features for 3D rigid data matching

Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao

Information Fusion, 2020


NM-net: Mining reliable neighbors for robust feature correspondences

Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Oral), 2019


Work Experience

[Jul 2021 ~ Dec 2021] Research Intern, SenseTime Research

Professional Activities

Conference Reviewer of CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML.
Journal Reviewer of IEEE TIP, IEEE TCSVT, IEEE TPAMI, PR.