Yifei Liu

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Hey! I am a second-year Ph.D. candidate at BUAA and Shanghai AI Lab cosupervised by Prof. Yu Qiao, Xiao Sun and Zhihang Zhong. Previously, I was a research assistant at ETH, a graduate researcher at Robotics and Perception Group led by Prof. Davide Scaramuzza, and an undergraduate student at USTC.

I am broadly interested in computer vision, (visual) language models and sparse algorithms.

Feel free to contact me if you are interested in my research and want to collaborate! My current exploration is on agentic RL for spatial tasks.

news

2026 1 paper accepted by CVPR 2026.
2025 1 paper accepted by CVPR 2025.
2024 Best paper award on ECCV 2024 workshop.
2024 1 paper accepted by WACV 2024.
2023 Graduated with a GPA of 5.9/6.0, ranked 1st out of 180.

Research Skill Radar

Publications

Proxy-GS teaser Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting
Yuanyuan Gao, Yuning Gong, Yifei Liu, Li Jingfeng, Dingwen Zhang, Yanci Zhang, Dan Xu, Xiao Sun, Zhihang Zhong
CVPR 2026
Unified occlusion priors for structured 3D Gaussian splatting with faster rendering in large occluded scenes.
Visionary teaser Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
Yuning Gong, Yifei Liu, Yifan Zhan, Muyao Niu, Xueying Li, ..., Xiao Sun, Zhihang Zhong
arXiv 2025
A web-native WebGPU platform for real-time Gaussian Splatting, mesh rendering, and per-frame ONNX inference.
MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks
Yifei Liu, Zhihang Zhong, Yifan Zhan, Sheng Xu, Xiao Sun
CVPR 2025
Adaptive probabilistic masking for pruning 3D Gaussians while preserving rendering quality.
SViT teaser Revisiting Token Pruning for Object Detection and Instance Segmentation
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
WACV 2024
Pruning tokens for Vision Transformers to accelerate inference speed on dense tasks.

Projects

Highlighted Courses

Probabilistic Artificial Intelligence
6.0/6.0
Taught by Andreas Krause
Advanced Techniques of Machine Translation
6.0/6.0
Taught by Rico Sennrich
who invented tokenizer for ChatGPT.
Planning and Decision Making for Autonomous Robots
5.75/6.0
Taught by Emilio Frazzoli