Shuhan Tan

According to our database, Shuhan Tan authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A systematic literature review of the application of UTAUT series models on hedonic gameplay.

Yixuan Liu, Jiyun Liu, Shuhan Tan, Kinboon Tang, Jiajing Chen

Entertain. Comput., 2026

2025

Latent Chain-of-Thought World Modeling for End-to-End Driving.

Shuhan Tan, Kashyap Chitta, Yuxiao Chen, Ran Tian, Yurong You, Yan Wang, Wenjie Luo, Yulong Cao, Philipp Krähenbühl, Marco Pavone, Boris Ivanovic

CoRR, December, 2025

Interactive Post-Training for Vision-Language-Action Models.

Shuhan Tan, Kairan Dou, Yue Zhao, Philipp Krähenbühl

CoRR, May, 2025

Wolf: Dense Video Captioning with a World Summarization Framework.

Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

Trans. Mach. Learn. Res., 2025

Long-Term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation.

Xiuyu Yang, Shuhan Tan, Philipp Krähenbühl

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model.

Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Wolf: Captioning Everything with a World Summarization Framework.

Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

CoRR, 2024

Promptable Closed-loop Traffic Simulation.

Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding.

Shuhan Tan, Tushar Nagarajan, Kristen Grauman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios.

Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Language Conditioned Traffic Generation.

Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl

Proceedings of the Conference on Robot Learning, 2023

2021

SceneGen: Learning To Generate Realistic Traffic Scenes.

Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Improving the Fairness of Deep Generative Models without Retraining.

Shuhan Tan, Yujun Shen, Bolei Zhou

CoRR, 2020

Class-Imbalanced Domain Adaptation: An Empirical Odyssey.

Shuhan Tan, Xingchao Peng, Kate Saenko

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World.

Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment.

Shuhan Tan, Xingchao Peng, Kate Saenko

CoRR, 2019

Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network.

Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan, Jingjing Chen, Haotian Lin, Wei-Shi Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration.

Shuhan Tan, Jiening Jiao, Wei-Shi Zheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019