Wei Cao - PhD Student at CVML Group @ UIUC

Wei Cao 曹巍

I'm a Ph.D. student at Computer Vision and Machine Learning Group at University of Illinois Urbana-Champaign, supervised by Prof. Yaoyao Liu.

I had the privilege of spending my high school years at High School Affiliated to Nanjing Normal University. My academic journey then took me to the Technical University of Munich (TUM), where I spent five and a half years immersed in an enriching environment, earning both my bachelor's and master's degrees. My master's thesis was mentored by Jiapeng Tang and supervised by Prof. Matthias Nießner in the Visual Computing & Artificial Intelligence Group.

I've spent great time at BCAI, 2012 Lab, FBK, and BMW, working with exceptional researchers.

Email / Scholar / Github / Twitter / LinkedIn

News

June 2026: One paper was accepted to ECCV 2026.
June 2026: FreeOrbit4D won the Best Paper Award at CVPR 2026 GCV Workshop.
June 2026: Selected for a spotlight talk at Midwest Machine Learning Symposium 2026.
May 2026: Started an internship at Stability AI.
March 2026: FreeOrbit4D was accepted to SIGGRAPH 2026.
March 2026: Motion2VecSets was accepted to TPAMI.

Research

	Redirect4D-Bench: A Scalable Benchmark for Camera Redirection of Monocular Dynamic Videos with Pseudo-4D Ground Truth Wei Cao, Hao Zhang, Jiapeng Tang, Yulun Wu, Yingying Li, Ning Yu, Shenlong Wang, Yaoyao Liu Preprint project page / paper / code / dataset
	Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction Yulun Wu, Ruyi Zha, Wei Cao, Yingying Li, Yuanhao Cai, Yaoyao Liu ECCV 2026 paper / code
	FreeOrbit4D: Training-free Arbitrary Camera Redirection for Monocular Videos via Geometry-Complete 4D Reconstruction Wei Cao, Hao Zhang, Fengrui Tian, Yulun Wu, Yingying Li, Shenlong Wang, Ning Yu, Yaoyao Liu SIGGRAPH 2026 Conference Paper CVPR 2026 GCV Workshop (Best Paper Award) CVPR 2026 4D Vision Workshop (Oral) project page / paper / code
	Motion2VecSets: Non-Rigid Shape Reconstruction and Tracking with 4D Latent Set Diffusion Jiapeng Tang, Wei Cao, Biao Zhang, Chang Luo, Yaoyao Liu, Matthias Nießner TPAMI IEEE Transactions on Pattern Analysis and Machine Intelligence project page / paper / code
	Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li*, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta CoRL 2025 project page / paper / supplementary / code
	Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving Hongkuan Zhou, Stefan Schimid, Yicong Li, Lavdim Halilaj, Xiangtong Yao, Wei Cao ESWC 2025 code / paper
	Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking Wei Cao, Chang Luo, Biao Zhang, Matthias Nießner, Jiapeng Tang CVPR 2024 project page / paper / code / video
	What Matters to Enhance Traffic Rule Compliance of Imitation Learning for Automated Driving Hongkuan Zhou, Wei Cao, Aifen Sui*, Zhengshan Bing ECCV 2024 Workshop project page / paper / code