Ph.D. student at Computer Vision Group, Aalto University
About Me
I am currently in the final year of my Ph.D. studies at the Department of Computer Science, Aalto University, supervised by Prof. Juho Kannala. Previously, I was a research intern at NAVER LABS Europe (Grenoble, France), working with Dr. Jerome Revaud and Dr. Boris Chidlovskii. Before this, I held a visiting researcher position at Computer Vision and Geometry Group, ETH zurich (2022), advised by Prof. Marc Pollefeys and Dr. Daniel Barath. I received my master's degree in Control, Robotics, and Autonomous System from the Department of Electrical Engineering and Automation, Aalto University.
My research interests lie in 3D computer vision and deep learning, with a special interest in visual localization, image matching, 3D reconstruction, and 3D foundation model.
I am looking for a research position in industry starting later this year or early next year. I would be delighted to discuss any opportunities. Please feel free to reach out to me.
News
- [07. 2024] One paper is accepted to ECCV2024!
- [02. 2024] Two papers DUSt3R and DGC-GNN are accepted to CVPR2024 🔥.
- [12. 2023] Our paper HSCNet++ is accepted to IJCV.
- [07. 2023] One paper is accepted to ICCV2023.
- [05. 2023] I will start a 6-month internship at Geometric Deep Learning Group, NAVER LABS Europe, working with Dr. Jerome Revaud and Dr. Boris Chidlovskii. See you in Grenoble!
- [08. 2022] One paper is accepted to 3DV2022.
- [01. 2022] I am very excited to announce that I started a 5-month research visit at CVG group, ETH Zurich.
- [10. 2021] One paper is accepted to 3DV2021.
- [08. 2021] I will be the teaching assistant of Computer Vision (CS-E4850) course in Fall, 2021.
- [07. 2021] One paper is accepted to ICCV2021.
- [09. 2020] I'm a Ph.D. candidate at Computer Vision group, Aalto University, supervised by Prof. Juho Kannala.
- [06. 2020] Obtained my MSc degree at Aalto University, master thesis supervised by Prof. Juho Kannala.
- [02. 2020] One paper is accepted to CVPR2020.
Publications
DUSt3R: Geometric 3D Vision Made Easy (CVPR 2024)
Shuzhe Wang, Vincent Leroy, Yohann Cabon, Boris Chidlovskii, Jerome Revaud
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching (CVPR 2024)
Shuzhe Wang, Juho Kannala, Daniel Barath
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer (IJCV)
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala
[PDF]
Guiding Local Feature Matching with Surface Curvature (ICCV 2023)
Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath
Visual Localization via Few-Shot Scene Region Classification (3DV 2022)
Siyan Dong*, Shuzhe Wang*, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen
Digging Into Self-Supervised Learning of Feature Descriptors (3DV 2021)
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala
Continual Learning for Image-Based Camera Localization (ICCV 2021)
Shuzhe Wang*, Zakaria Laskar* , Iaroslav Melekhov, Xiaotian Li, Juho Kannala
Hierarchical Scene Coordinate Classification and Regression for Visual Localization (CVPR2020)
Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala