About Me

I am currently a second-year Ph.D student at Computer Vision Lab (CVLab), École polytechnique fédérale de Lausanne (EPFL), supervised by Mathieu Salzmann and Pascal Fua. Before that, I received my bachelor's degree and master's degree at Huazhong University of Science and Technology (HUST). My research interests include computer vision, machine learning, with focus on object pose estimation, image matching and point cloud analysis.

Chen Zhao Profile Image

Ph.D Candidate

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


alt text [2022-07] Two papers accepted by ECCV 2022!
[2022-03] One paper accepted by Pattern Recognition 2022.
[2020-09] One paper accepted by ICCV 2021.
[2020-09] One paper accepted by Information Fusion 2020.
[2020-07] One paper accepted by ECCV 2020.


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

Project     Code

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.