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Conference and Workshop Papers
- 2023
[c8]Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. CoRL 2023: 2714-2752- [c7]Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou:
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. ICRA 2023: 3567-3575 - [c6]Shuhan Tan, Tushar Nagarajan, Kristen Grauman:
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. NeurIPS 2023 - 2021
- [c5]Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning To Generate Realistic Traffic Scenes. CVPR 2021: 892-901 - 2020
- [c4]Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CVPR 2020: 11164-11173 - [c3]Shuhan Tan, Xingchao Peng, Kate Saenko
:
Class-Imbalanced Domain Adaptation: An Empirical Odyssey. ECCV Workshops (1) 2020: 585-602 - 2019
- [c2]Shuhan Tan, Jiening Jiao, Wei-Shi Zheng:
Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration. CVPR 2019: 5394-5403 - [c1]Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan, Jingjing Chen, Haotian Lin, Wei-Shi Zheng:
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. MICCAI (1) 2019: 209-217
Informal and Other Publications
- 2024
- [i10]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:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i9]Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone:
Promptable Closed-loop Traffic Simulation. CoRR abs/2409.05863 (2024) - 2023
- [i8]Shuhan Tan, Tushar Nagarajan, Kristen Grauman:
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. CoRR abs/2301.02217 (2023) - [i7]Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. CoRR abs/2307.07947 (2023) - 2022
- [i6]Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou:
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. CoRR abs/2210.06609 (2022) - 2021
- [i5]Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning to Generate Realistic Traffic Scenes. CoRR abs/2101.06541 (2021) - 2020
- [i4]Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CoRR abs/2006.09348 (2020) - [i3]Shuhan Tan, Yujun Shen, Bolei Zhou:
Improving the Fairness of Deep Generative Models without Retraining. CoRR abs/2012.04842 (2020) - 2019
- [i2]Shuhan Tan, Jiening Jiao, Wei-Shi Zheng:
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration. CoRR abs/1904.13179 (2019) - [i1]Shuhan Tan, Xingchao Peng, Kate Saenko:
Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. CoRR abs/1910.10320 (2019)
Coauthor Index
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