| Deep watershed transform for instance segmentation M Bai, R Urtasun Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 694 | 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/CVF conference on computer vision and pattern …, 2019 | 506 | 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, ... arXiv preprint arXiv:1612.00423, 2016 | 210 | 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 | 188 | 2018 |
| Exploiting semantic information and deep matching for optical flow M Bai, W Luo, K Kundu, R Urtasun Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 154 | 2016 |
| Obtaining free USArray data by multi-dimensional seismic reconstruction Y Chen, M Bai, Y Chen Nature communications 10 (1), 4434, 2019 | 136 | 2019 |
| Exploiting sparse semantic HD maps for self-driving vehicle localization WC Ma, I Tartavull, IA Bârsan, S Wang, M Bai, G Mattyus, N Homayounfar, ... 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 128 | 2019 |
| Improving the signal‐to‐noise ratio of seismological datasets by unsupervised machine learning Y Chen, M Zhang, M Bai, W Chen Seismological Research Letters 90 (4), 1552-1564, 2019 | 110 | 2019 |
| Automatic waveform classification and arrival picking based on convolutional neural network Y Chen, G Zhang, M Bai, S Zu, Z Guan, M Zhang Earth and Space Science 6 (7), 1244-1261, 2019 | 106 | 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 | 93 | 2018 |
| Self-attention deep image prior network for unsupervised 3-D seismic data enhancement OM Saad, YASI Oboue, M Bai, L Samy, L Yang, Y Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 61 | 2021 |
| Seismic noise attenuation using unsupervised sparse feature learning M Zhang, Y Liu, M Bai, Y Chen IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9709-9723, 2019 | 57 | 2019 |
| Autonomous vehicle lane boundary detection systems and methods M Bai, GS Mattyus, N Homayounfar, S Wang, SK Lakshmikanth, ... US Patent 11,080,537, 2021 | 51 | 2021 |
| 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 | 49 | 2021 |
| Ground roll attenuation using non-stationary matching filtering S Jiao, Y Chen, M Bai, W Yang, E Wang, S Gan Journal of Geophysics and Engineering 12 (6), 922-933, 2015 | 49 | 2015 |
| Autonomous vehicle lane boundary detection systems and methods M Bai, GS Mattyus, N Homayounfar, S Wang, SK Lakshmikanth, ... US Patent 10,803,325, 2020 | 47 | 2020 |
| Incoherent dictionary learning for reducing crosstalk noise in least-squares reverse time migration J Wu, M Bai Computers & Geosciences 114, 11-21, 2018 | 44 | 2018 |
| Q-compensated migration by Gaussian beam summation method M Bai, X Chen, J Wu, G Liu, Y Chen, H Chen, Q Li Journal of Geophysics and Engineering 13 (1), 35-48, 2016 | 43 | 2016 |
| Five-dimensional seismic data reconstruction using the optimally damped rank-reduction method Y Chen, M Bai, Z Guan, Q Zhang, M Zhang, H Wang Geophysical Journal International 218 (1), 224-246, 2019 | 42 | 2019 |
| A structural rank reduction operator for removing artifacts in least-squares reverse time migration M Bai, J Wu, S Zu, W Chen Computers & Geosciences 117, 9-20, 2018 | 41 | 2018 |
Yangkang ChenJackson School of Geosciences, Bureau of Economic Geology, The University of Texas at Austin在 utexas.edu 的电子邮件经过验证
