CV/ML research engineer at Apple
About Me
I recently joined Apple as CV/ML research engineer. Previously, I completed my doctoral degree in the Department of Computer Science, Aalto University, supervised by Prof. Juho Kannala. Before that, I was a research intern at NAVER LABS Europe (Grenoble, France), working with Dr. Jerome Revaud and Dr. Boris Chidlovskii. Additionally, 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, 3D reconstruction, and 3D foundation model.
News
- Career update: I join Apple as CV/ML research engineer!
- [02. 2025] Three papers Reloc3r, SLAM3R, and DeSplat are accepted to CVPR2025 🔥.
- [12. 2024] I successfully defended my Ph.D, with Prof. Viktor Larsson as my opponent! [Thesis] [Slides]
- [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.
- [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.
Selected Publications
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization (CVPR 2025)
Siyan Dong*, Shuzhe Wang*, Shaohui Liu, Lulu Cai, Qingnan Fan, Juho Kannala, Yanchao Yang
SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos (CVPR2025)
Yuzheng Liu*, Siyan Dong*, Shuzhe Wang, Yanchao Yang, Qingnan Fan, Baoquan Chen
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
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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
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