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Hi there! I am currently a PhD student at The University of Texas at Austin, advised by Philipp Krähenbühl. My research focus on simulate realistic human behavior and environment evolument. Specifically, my current research focuses on content generation for autonomous driving simulation systems, which aims to make autonomous driving safe and easily accessible for everyone. My long-term goal is to develop realistic world modeling and simulation systems that can be used to train and test inteligent agents in a variety of domains. |
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The University of Texas at Austin
Sun Yat-Sen University |
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Waymo Research
NVIDIA Research
The University of Texas at Austin
The Chinese University of Hong Kong
Uber ATG Toronto
Boston University
Sun Yat-Sen University |
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[02/2026] LCDrive got accepted to CVPR 2026! Check it out! [10/2025] I was selected as an Outstanding Reviewer of ICCV 2025 (Top 3%)! [06/2025] InfGen got accepted to ICCV 2025! Check it out! [05/2025] RIPT-VLA released! Check it out! [03/2025] SceneDiffuser++ got accepted to CVPR 2025! |
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traffic simulation Long-term Human Motion Prediction Workshop ICRA 2024. Yokohama, Japan. |
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Shuhan Tan, Kashyap Chitta, Yuxiao Chen, Ran Tian, Yurong You, Yan Wang, Wenjie Luo, Yulong Cao, Philipp Krähenbühl, Marco Pavone, Boris Ivanovic CVPR 2026. A Vision-Language-Action model for autonomous driving that uses latent chain-of-thought reasoning with a learned world model for improved trajectory planning. |
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Xiuyu Yang*, Shuhan Tan*, Philipp Krähenbühl ICCV 2025. A unified next-token prediction model that performs interleaved closed-loop motion simulation and scene generation for stable long-term traffic simulation. |
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Shuhan Tan, Kairan Dou, Yue Zhao, Philipp Krähenbühl arxiv 2505.17016 preprint. Interactive post-training for any pretrained Vision-Language-Action (VLA) model using only sparse binary success rewards. |
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Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang CVPR 2025. Diffusion-based World Model for city-scale traffic simulation. |
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Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone CoRL 2024. Paper / Project page / Code / Video / Colab Demo / Dataset Simulate multi-agent interactions with multimodal prompts. |
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Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl CoRL 2023. Paper / Project page / Code / Video / Colab Demo Traffic scene generation with language condition using LLM. |
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Shuhan Tan, Tushar Nagarajan, Kristen Grauman NeurIPS 2023. Efficient egocentric video understanding with head motion data from IMU. |
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Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou ICRA 2023. Synthesis new traffic scenario and replay in simulation. |
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Shuhan Tan, Yujun Shen, Bolei Zhou. arXiv.2012.04842 preprint Paper / Project page / Colab Mitigate biases of GAN models without retraining. |
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Shuhan Tan*, Kelvin Wong*, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun. CVPR 2021. Generate realistic traffic scences automatically. |
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Shuhan Tan, Xingchao Peng, Kate Saenko. TASK-CV Workshop, ECCV 2020. Align feature distributions across domains while the label distributions of the two domains are also different. |
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Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma and Raquel Urtasun. CVPR 2020 (Oral). Paper / Supplement / Bibtex Realistic sensor simulation for LiDAR. |
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We proposed a novel deep neural network architecture to effectively localize potential biomarkers in medical images, when only the image-level labels are available during model training. |
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Paper / Supplement / Bibtex We proposed a practical weakly supervised setting for open-set domain adaptation, where two scarcely-labeled domains collaboratively learn from each other. Invited for presentation at WebVision 2019. |
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Distinguished Graduate Thesis, Sun Yat-sen University |
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Systems and Methods for Simulating Traffic Scenes. US Patent App. 17/528,277.
Shuhan Tan, Kelvin Ka Wing Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun |
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Reviewer: CVPR, ECCV, ICCV, ICLR, ICML, ICRA, IJCV, NeruIPS, RA-L, TCSVT, TMI. |
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British Longhair Boy😺 Born in 2022, California.
My little colleague, who always sleeps on my desk,
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Updated Oct 2025. Special thanks to Jon Barron for website template. |