Shuai Chen

I am a 4th year PhD student in Active Vision Laboratory at the University of Oxford, supervised by Prof. Victor Adrian Prisacariu. I received my Master’s and Bachelor’s degrees in Electrical Engineering from the University of Southern California.

Previously, I was a senior AI algorithm engineer and team leader at Huawei Technologies, leading several commercially successful computer vision and computational photography projects for Huawei/Honor flagship smartphones.

I also interned at Niantic Labs and Meta Reality Lab as a research scientist intern.

In 2025, I joined Niantic as a senior research scientist.

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Research

I’m interested in 3D Vision, Computational Photography, and Generative AI.

	GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan Hu, Zirui Wang, Ming Cheng, Victor Prisacariu, Tristan Braud ICLR, 2025 project page / paper / code Efficient camera pose refinement using 3D Gaussian Splatting and 3D foundation model MASt3R.
	When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jiawang Bian, Philip Torr, Marc Pollefeys, Matthias Nießner, Ian D Reid, Angel X. Chang, Iro Laina, Victor Prisacariu arXiv*, 2024 paper A survey paper that provides a comprehensive overview of the methodologies enabling LLMs to process, understand, and generate 3D data.
	Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer Eric Brachmann, Jamie Wynn, Shuai Chen, Tommaso Cavallari, Áron Monszpart, Daniyar Turmukhambetov, Victor Prisacariu ECCV, 2024 Oral (2.3%) project page / paper / code A novel learning-based structure-from-motion (SfM) method using scene coordinate regression.
	Map-Relative Pose Regression for Visual Re-Localization Shuai Chen, Tommaso Cavallari, Victor Prisacariu, Eric Brachmann CVPR, 2024 Highlight (11.9%) project page / paper / code A scene-agnostic pose regression network that maps scene-specific representations to 6-DoF camera poses, enabling APRs to adapt to new scenes in 5 minutes.
	Neural Refinement for Absolute Pose Regression with Feature Synthesis Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, Zirui Wang, Victor Prisacariu CVPR, 2024 project page / paper / code A post-process for refining generic APRs using neural feature fields.
	HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation Changkun Liu, Shuai Chen, Yukun Zhao, Huajian Huang, Victor Prisacariu, Tristan Braud ICRA, 2024 project page / paper / code An APR-agnostic framework that accelerates pose refinement via pose-retrieval and uncertainty estimation.
	DFNet: Enhance Absolute Pose Regression with Direct Feature Matching Shuai Chen, Xinghui Li, Zirui Wang, Victor Prisacariu ECCV, 2022 project page / paper / code Leveraging luma-prior NeRF and direct feature matching to enhance 6-DoF camera pose regression approaches.
	Deep Online Video Stabilization using IMU Sensors Chen Li, Li Song, Shuai Chen, Rong Xie, Wenjun Zhang, IEEE Transactions on Multimedia, 2022 paper Real-time and data driven video stabilization using IMU sensors.
	Direct-PoseNet: Absolute Pose Regression with Photometric Consistency Shuai Chen, Zirui Wang, Victor Prisacariu 3DV, 2021 project page / paper / code 6-DoF camera pose regression with NeRF-based differentiable renderer.

Academic Services

Reviewer: ECCV 2022, 2024; CVPR 2023, 2024; ICCV 2023, 2025; ICRA 2024; RA-L 2024, 2025; NeurIPS 2025