| Deep watershed transform for instance segmentation M Bai, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 622 | 2017 |
| 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 | 410 | 2019 |
| 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 | 188 | 2016 |
| 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 | 163 | 2018 |
| 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 | 142 | 2016 |
| 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 | 96 | 2019 |
| 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 | 78 | 2018 |
| 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 | 22 | 2021 |
| Self-supervised pretraining for large-scale point clouds Z Zhang, M Bai, E Li Neural Information Processing Systems (NeurIPS) 2022, 2022 | 3 | 2022 |
| 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 | 2 | 2021 |
| 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 | | 2023 |
| 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 |
