Doctoral Student
Email: [email protected]
Runyi Yang
About me
I am Runyi Yang, a doctoral student at the Institute for Computer Science, Artificial Intelligence and Technology, starting in October 2024. My research focuses on 3D Computer Vision and is supervised by Dr. Danda Pani Paudel and Prof. Luc Van Gool.
My academic interests include Neural Radiance Fields, Camera Relocalization and Multi-Modal Models.
Education
Imperial College London, United Kingdom, October 2023 – October 2024
MRes in AI and Machine Learning
Beijing Institute of Technology, September 2019 – June 2023
B.Sc. in Automation (First Class)
Publication
City-Scale Mapping System with Three-layer Sampling and Panoptic Representation (Knowledge-Based Systems, 2023)
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving (CAAI International Conference on Artificial Intelligence, CICAI 2023 (Best Paper Runner-up Award)
Related Experience
Research Intern – 3D computer vision
Institute for AI Industry Research, Tsinghua University, Beijing, China, May 2022
2025
Yue Li, Qi Ma, Runyi Yang, Huapeng Li, Mengjiao Ma, Bin Ren, Nikola Popovic, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Martin R. Oswald, Danda Pani Paudel
SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining
In: International Conference on Computer Vision (ICCV 2025)
Mengjiao Ma, Qi Ma, Yue Li, Jiahuan Cheng, Runyi Yang, Bin Ren, Nikola Popovic, Mingqiang Wei, Nicu Sebe, Ender Konukoglu, Luc Van Gool, Theo Gevers, Martin R. Oswald, Danda Pani Paudel
GaussianWorld: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting
In: NeurIPS 2025 (Dataset and benchmark track)
