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Min Bai
Min Bai
University of Toronto, Amazon AWS AI
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Deep watershed transform for instance segmentation
M Bai, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
6612017
Upsnet: A unified panoptic segmentation network
Y Xiong, R Liao, H Zhao, R Hu, M Bai, E Yumer, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
4592019
Torontocity: Seeing the world with a million eyes
S Wang, M Bai, G Mattyus, H Chu, W Luo, B Yang, J Liang, J Cheverie, ...
IEEE International Conference on Computer Vision 2017, 2016
2032016
Learning deep structured active contours end-to-end
D Marcos, D Tuia, B Kellenberger, L Zhang, M Bai, R Liao, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1742018
Exploiting semantic information and deep matching for optical flow
M Bai, W Luo, K Kundu, R Urtasun
European Conference on Computer Vision, 154-170, 2016
1482016
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization
WC Ma, I Tartavull, IA Bârsan, S Wang, M Bai, G Mattyus, N Homayounfar, ...
International Conference on Intelligent Robotics and Systems (IROS) 2019, 2019
1142019
Deep Multi-Sensor Lane Detection
M Bai, G Mattyus, N Homayounfar, S Wang, SK Lakshmikanth, R Urtasun
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
872018
Auto4d: Learning to label 4d objects from sequential point clouds
B Yang, M Bai, M Liang, W Zeng, R Urtasun
arXiv preprint arXiv:2101.06586, 2021
392021
Self-supervised pretraining for large-scale point clouds
Z Zhang, M Bai, E Li
Neural Information Processing Systems (NeurIPS) 2022, 2022
52022
Implicit Surface Contrastive Clustering for LiDAR Point Clouds
Z Zhang, M Bai, E Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
32023
Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving
M Bai, S Wang, K Wong, E Yumer, R Urtasun
arXiv preprint arXiv:2101.06865, 2021
22021
Snapper: Accelerating bounding box annotation in object detection tasks with find-and-snap tooling
AC Williams, M Bai, J Buck, T McKinney, A Rechkemmer, ...
ACM Conference on Intelligent User Interfaces 2024, 2024
2024
Improving self-supervised representation learning via sequential adversarial masking
D Sam, M Bai, T McKinney, LE Li
NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice, 2022
2022
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