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Shuhan Tan
Shuhan Tan
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Lidarsim: Realistic lidar simulation by leveraging the real world
S Manivasagam, S Wang, K Wong, W Zeng, M Sazanovich, S Tan, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1982020
Class-imbalanced domain adaptation: An empirical odyssey
S Tan, X Peng, K Saenko
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
92*2020
Scenegen: Learning to generate realistic traffic scenes
S Tan, K Wong, S Wang, S Manivasagam, M Ren, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
572021
Improving the fairness of deep generative models without retraining
S Tan, Y Shen, B Zhou
arXiv preprint arXiv:2012.04842, 2020
472020
Trafficgen: Learning to generate diverse and realistic traffic scenarios
L Feng, Q Li, Z Peng, S Tan, B Zhou
2023 IEEE International Conference on Robotics and Automation (ICRA), 3567-3575, 2023
292023
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
S Tan, J Jiao, WS Zheng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
222019
Biomarker localization by combining CNN classifier and generative adversarial network
R Zhang, S Tan, R Wang, S Manivannan, J Chen, H Lin, WS Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
162019
Language Conditioned Traffic Generation
S Tan, B Ivanovic, X Weng, M Pavone, P Kraehenbuehl
7th Annual Conference on Robot Learning, 2023
102023
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
S Tan, T Nagarajan, K Grauman
Thirty-seventh Conference on Neural Information Processing Systems, 2023
82023
Systems and methods for simulating traffic scenes
S Tan, KKW Wong, S Wang, S Manivasagam, M Ren, R Urtasun
US Patent 11,580,851, 2023
2023
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