| Dynamic graph CNN for learning on point clouds Y Wang, Y Sun, Z Liu, SE Sarma, MM Bronstein, JM Solomon ACM Transactions on Graphics (TOG) 38 (5), 146, 2019 | 6347 | 2019 |
| Deep closest point: Learning representations for point cloud registration Y Wang, JM Solomon Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1012 | 2019 |
| Functional maps: a flexible representation of maps between shapes M Ovsjanikov, M Ben-Chen, J Solomon, A Butscher, L Guibas ACM Transactions on Graphics (ToG) 31 (4), 1-11, 2012 | 835 | 2012 |
| Convolutional Wasserstein distances: Efficient optimal transportation on geometric domains J Solomon, F De Goes, G Peyré, M Cuturi, A Butscher, A Nguyen, T Du, ... ACM Transactions on Graphics (TOG) 34 (4), 66, 2015 | 737 | 2015 |
| DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries Y Wang, V Guizilini, T Zhang, Y Wang, H Zhao, J Solomon Conference on Robot Learning (CoRL), 2021 | 629 | 2021 |
| PRNet: Self-supervised learning for partial-to-partial registration Y Wang, JM Solomon Conference on Neural Information Processing Systems (NeurIPS), 2019 | 419 | 2019 |
| Gromov-Wasserstein averaging of kernel and distance matrices G Peyré, M Cuturi, J Solomon International Conference on Machine Learning, 2664-2672, 2016 | 406 | 2016 |
| Smoothed local histogram filters M Kass, J Solomon ACM SIGGRAPH 2010 papers, 1-10, 2010 | 232 | 2010 |
| Pillar-based object detection for autonomous driving Y Wang, A Fathi, A Kundu, DA Ross, C Pantofaru, T Funkhouser, ... European Conference on Computer Vision, 2020 | 224 | 2020 |
| Entropic metric alignment for correspondence problems J Solomon, G Peyré, VG Kim, S Sra ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016 | 210 | 2016 |
| Wasserstein propagation for semi-supervised learning J Solomon, R Rustamov, L Guibas, A Butscher International Conference on Machine Learning, 306-314, 2014 | 165 | 2014 |
| Earth mover's distances on discrete surfaces J Solomon, R Rustamov, L Guibas, A Butscher ACM Transactions on Graphics (ToG) 33 (4), 1-12, 2014 | 154 | 2014 |
| Recombination: A family of Markov chains for redistricting D DeFord, M Duchin, J Solomon Harvard Data Science Review 3 (1), 2021 | 149 | 2021 |
| Flexible developable surfaces J Solomon, E Vouga, M Wardetzky, E Grinspun Computer Graphics Forum 31 (5), 1567-1576, 2012 | 138 | 2012 |
| Numerical algorithms: methods for computer vision, machine learning, and graphics J Solomon CRC press, 2015 | 113 | 2015 |
| GWCNN: A metric alignment layer for deep shape analysis D Ezuz, J Solomon, VG Kim, M Ben-Chen Computer Graphics Forum 36 (5), 49-57, 2017 | 102 | 2017 |
| Object DGCNN: 3D object detection using dynamic graphs Y Wang, JM Solomon Advances in Neural Information Processing Systems 34, 20745-20758, 2021 | 101 | 2021 |
| Parallel streaming Wasserstein barycenters M Staib, S Claici, JM Solomon, S Jegelka Advances in Neural Information Processing Systems, 2647-2658, 2017 | 100 | 2017 |
| Stochastic Wasserstein barycenters S Claici, E Chien, J Solomon International Conference on Machine Learning 35, 80:999-1008, 2018 | 97 | 2018 |
| Hierarchical optimal transport for document representation M Yurochkin, S Claici, E Chien, F Mirzazadeh, J Solomon Conference on Neural Information Processing Systems (NeurIPS), 2019 | 92 | 2019 |
Yue WangUSC & Nvidia Research在 csail.mit.edu 的电子邮件经过验证
