CV/ML research engineer at Apple
About Me
I'm a CV/ML research engineer at Apple. Previously, I completed my doctoral degree in the Department of Computer Science, Aalto University, supervised by Prof. Juho Kannala. During my PhD, I was a research intern at NAVER LABS Europe (Grenoble, France), working with Dr. Jerome Revaud and Dr. Boris Chidlovskii. I also spent time as a visiting researcher at at Computer Vision and Geometry Group, ETH zurich (2022), advised by Prof. Marc Pollefeys and Dr. Daniel Barath. I received my master's degree from the Department of Electrical Engineering and Automation, also at 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
- [05. 2025] Selected as an outstanding reviewer at CVPR 2025.
- [03. 2025] I received Aalto University Doctoral Thesis Award 2025
- 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