| 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 | 6995 | 2019 |
| Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? Y Tian*, Y Wang*, D Krishnan, JB Tenenbaum, P Isola European Conference on Computer Vision (ECCV 2020), 2020 | 1118 | 2020 |
| Deep Closest Point: Learning Representations for Point Cloud Registration Y Wang, JM Solomon The IEEE International Conference on Computer Vision (ICCV 2019), 2019 | 1116 | 2019 |
| 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 CORL 2021, 2021 | 772 | 2021 |
| PRNet: Self-Supervised Learning for Partial-to-Partial Registration Y Wang, J Solomon Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 453 | 2019 |
| Hdmapnet: an online hd map construction and evaluation framework Q Li*, Y Wang*, Y Wang, H Zhao 2022 International Conference on Robotics and Automation (ICRA), 4628-4634, 2022 | 299 | 2022 |
| Futr3d: A unified sensor fusion framework for 3d detection X Chen, T Zhang, Y Wang, Y Wang, H Zhao arXiv preprint arXiv:2203.10642, 2022 | 264 | 2022 |
| FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization J Yang, M Pavone, Y Wang The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023 | 260 | 2023 |
| Pillar-based Object Detection for Autonomous Driving Y Wang, A Fathi, A Kundu, D Ross, C Pantofaru, T Funkhouser, ... European Conference on Computer Vision (ECCV 2020), 2020 | 249 | 2020 |
| Pointgrow: Autoregressively learned point cloud generation with self-attention Y Sun, Y Wang, Z Liu, JE Siegel, SE Sarma Winter Conference On Applications of Computer Vision (WACV 2020), 2018 | 233 | 2018 |
| On Feature Decorrelation in Self-Supervised Learning T Hua, W Wang, Z Xue, S Ren, Y Wang, H Zhao ICCV 2021, 2021 | 222 | 2021 |
| GPT-Driver: Learning to Drive with GPT J Mao, Y Qian, H Zhao, Y Wang arXiv preprint arXiv:2310.01415, 2023 | 201 | 2023 |
| Vectormapnet: End-to-end vectorized hd map learning Y Liu, Y Wang, Y Wang, H Zhao International Conference on Machine Learning, 2023 | 195 | 2023 |
| Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving X Tian, T Jiang, L Yun, Y Wang, Y Wang, H Zhao NeurIPS 2023, 2023 | 178 | 2023 |
| Object DGCNN: 3D Object Detection using Dynamic Graphs Y Wang, J Solomon NeurIPS 2021, 2021 | 115 | 2021 |
| Vip3d: End-to-end visual trajectory prediction via 3d agent queries J Gu, C Hu, T Zhang, X Chen, Y Wang, Y Wang, H Zhao The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 | 98 | 2022 |
| A Language Agent for Autonomous Driving J Mao, J Ye, Y Qian, M Pavone, Y Wang Conference on Language Modeling, 2024 | 68 | 2024 |
| Instantsplat: Unbounded sparse-view pose-free gaussian splatting in 40 seconds Z Fan, W Cong, K Wen, K Wang, J Zhang, X Ding, D Xu, B Ivanovic, ... arXiv preprint arXiv:2403.20309, 2024 | 54 | 2024 |
| Multi-robot scene completion: Towards task-agnostic collaborative perception Y Li, J Zhang, D Ma, Y Wang, C Feng 6th Annual Conference on Robot Learning, 2022 | 49 | 2022 |
| Neural Map Prior for Autonomous Driving X Xiong, Y Liu, T Yuan, Y Wang, Y Wang, H Zhao The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023 | 47 | 2023 |
Justin SolomonMITVerified email at mit.edu