Shuai Chen

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Research

I’m interested in 3D Vision, Computational Photography, and multi-modal AI.

Real-3DQA

Do 3D Large Language Models Really Understand 3D Spatial Relationships?
Xianzheng Ma*, Tao Sun*, Shuai Chen, Yash Bhalgat, Jindong Gu, Angel X. Chang, Iro Armeni, Iro Laina, Songyou Peng, Victor Adrian Prisacariu
ICLR, 2026
project page / paper / code / data

Text-only models can match 3D-LLMs on popular 3D-QA benchmarks, exposing linguistic shortcuts; we introduce Real-3DQA and a 3D-reweighted training objective to stress-test and improve genuine spatial reasoning.

GS-CPR

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.

LLM_3D

LLM_3D

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.

ACE Zero

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.

MARePo

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.

NeFeS

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

HR-APR

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

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.

DOVS

DOVS

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

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, 2026; CVPR 2023, 2024, 2026; ICCV 2023, 2025*; ICRA 2024; RA-L 2024, 2025; NeurIPS 2025

* Outstanding Reviewer (Top 3%)