About Me
I am currently a fourth-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 3D understanding.
I am currently doing an internship at Mixed Reality & AI Lab, Microsoft, Zurich, and I am actively seeking opportunities for a postdoctoral position starting in 2025.
Ph.D Candidate
Computer Vision Lab (CVLab)
École Polytechnique Fédérale de Lausanne (EPFL)
- Email: sailorzzcc@gmail.com
- City: Lausanne, Switzerland
- Google Scholar: Google Scholar
- Github: Github Profile
News
[2024-02] Two papers accepted by CVPR 2024.
Publications
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
Proceedings of the International Conference on Learning Representations (ICLR), 2024
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation
Proceedings of the International Conference on 3D Vision (3DV), 2024
Unsupervised 3D Keypoint Discovery with Multi-View Geometry
Proceedings of the International Conference on 3D Vision (3DV), 2024
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects
Proceedings of the European Conference on Computer Vision (ECCV), 2022
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
Proceedings of the European Conference on Computer Vision (ECCV), 2022
Rotation invariant point cloud classification: Where local geometry meets global topology
Pattern Recognition, 2022
Progressive Correspondence Pruning by Consensus Learning
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Image feature correspondence selection: a comparative study and a new contribution
IEEE Transactions on Image Processing (TIP), 2020
Sparse-to-dense depth completion revisited: Sampling strategy and graph construction
Proceedings of the European Conference on Computer Vision (ECCV), 2020
Learning to fuse local geometric features for 3D rigid data matching
Information Fusion, 2020
NM-net: Mining reliable neighbors for robust feature correspondences
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Oral), 2019
Teaching
[Fall 2021] Teaching assistant for Information, Calculation, Communication at EPFL
[Spring 2022] Teaching assistant for Computer Vision at EPFL
[Fall 2022] Teaching assistant for Introduction to Machine Learning at EPFL
[Spring 2023] Teaching assistant for Computer Vision at EPFL
[Fall 2023] Teaching assistant for Information, Calculation, Communication at EPFL
[Spring 2024] Head Teaching assistant for Computer Vision at EPFL