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 | 220 | 2020 |
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 | 99* | 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 | 75 | 2021 |
Improving the fairness of deep generative models without retraining S Tan, Y Shen, B Zhou arXiv preprint arXiv:2012.04842, 2020 | 56 | 2020 |
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 | 53 | 2023 |
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 | 24 | 2019 |
Language Conditioned Traffic Generation S Tan, B Ivanovic, X Weng, M Pavone, P Kraehenbuehl 7th Annual Conference on Robot Learning, 2023 | 22 | 2023 |
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 | 17 | 2019 |
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding S Tan, T Nagarajan, K Grauman Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 14 | 2023 |
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 | 5 | 2023 |