| Deep watershed transform for instance segmentation M Bai, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 710 | 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 | 516 | 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 | 213 | 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 | 193 | 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 | 155 | 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 | 137 | 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 | 99 | 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 | 50 | 2021 |
| Affordancellm: Grounding affordance from vision language models S Qian, W Chen, M Bai, X Zhou, Z Tu, LE Li OpenSun3D workshop at CVPR 2024, 2024 | 24 | 2024 |
| ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling S Yan, M Bai, W Chen, X Zhou, Q Huang, LE Li European Conference on Compute Vision 2024, 2024 | 13 | 2024 |
| Self-supervised pretraining for large-scale point clouds Z Zhang, M Bai, E Li Neural Information Processing Systems (NeurIPS) 2022, 2022 | 7 | 2022 |
| 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 | 5 | 2023 |
| 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 |
| 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 | 1 | 2024 |
| Socratic human feedback (SoHF): Expert steering strategies for LLM code generation S Chidambaram, E Li, M Bai, LI Xiaopeng, K Lin, X Zhou, AC Williams Findings of Empirical Methods in Natural Language Processing 2024, 2024 | | 2024 |
| Annorama: Enabling immersive at-desk annotation experiences in virtual reality with 3D point cloud dioramas S Chidambaram, AC Williams, M Bai, S Virk, P Haffner, M Lease, E Li ACM Symposium on Spatial User Interaction 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 |
