| VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Y Zhou, O Tuzel Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 3440 | 2018 |
| Scalability in perception for autonomous driving: Waymo open dataset P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1941 | 2020 |
| End-to-end multi-view fusion for 3d object detection in lidar point clouds Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, T Ouyang, J Guo, J Ngiam, ... Conference on Robot Learning, 923-932, 2020 | 325 | 2020 |
| Mvx-net: Multimodal voxelnet for 3d object detection VA Sindagi, Y Zhou, O Tuzel 2019 International Conference on Robotics and Automation (ICRA), 7276-7282, 2019 | 310 | 2019 |
| Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 289 | 2021 |
| Offboard 3d object detection from point cloud sequences CR Qi, Y Zhou, M Najibi, P Sun, K Vo, B Deng, D Anguelov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 131 | 2021 |
| Classification of histology sections via multispectral convolutional sparse coding Y Zhou, H Chang, K Barner, P Spellman, B Parvin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 125 | 2014 |
| Spg: Unsupervised domain adaptation for 3d object detection via semantic point generation Q Xu, Y Zhou, W Wang, CR Qi, D Anguelov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 123 | 2021 |
| Starnet: Targeted computation for object detection in point clouds J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ... arXiv preprint arXiv:1908.11069, 2019 | 100 | 2019 |
| Surfelgan: Synthesizing realistic sensor data for autonomous driving Z Yang, Y Chai, D Anguelov, Y Zhou, P Sun, D Erhan, S Rafferty, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| 3d-man: 3d multi-frame attention network for object detection Z Yang, Y Zhou, Z Chen, J Ngiam Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 71 | 2021 |
| Stacked predictive sparse decomposition for classification of histology sections H Chang, Y Zhou, A Borowsky, K Barner, P Spellman, B Parvin International journal of computer vision 113, 3-18, 2015 | 59 | 2015 |
| View: Visual information extraction widget for improving chart images accessibility J Gao, Y Zhou, KE Barner 2012 19th IEEE international conference on image processing, 2865-2868, 2012 | 49 | 2012 |
| Locality constrained dictionary learning for nonlinear dimensionality reduction Y Zhou, KE Barner IEEE Signal Processing Letters 20 (4), 335-338, 2013 | 46 | 2013 |
| Kernel-based sparse representation for gesture recognition Y Zhou, K Liu, RE Carrillo, KE Barner, F Kiamilev Pattern Recognition 46 (12), 3208-3222, 2013 | 34 | 2013 |
| Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors C Deng, C Jiang, CR Qi, X Yan, Y Zhou, L Guibas, D Anguelov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
| Stacked predictive sparse coding for classification of distinct regions in tumor histopathology H Chang, Y Zhou, P Spellman, B Parvin Proceedings of the IEEE international conference on computer vision, 169-176, 2013 | 32 | 2013 |
| Less: Label-efficient semantic segmentation for lidar point clouds M Liu, Y Zhou, CR Qi, B Gong, H Su, D Anguelov European Conference on Computer Vision, 70-89, 2022 | 30 | 2022 |
| Nuclei Segmentation via Sparsity Constrained Convolutional Regression BP Yin Zhou, Hang Chang, Kenneth. E. Barner IEEE International Symposium on Biomedical Imaging (ISBI), 2015 | 28 | 2015 |
| Nuclei Segmentation via Sparsity Constrained Convolutional Regression Yin Zhou , Hang Chang , Kenneth E. Barner, Bahram Parvin IEEE International Symposium on Biomedical Imaging (ISBI 2015), 0 | 28* | |
Dragomir AnguelovDistinguished Researcher, WaymoVerified email at cs.stanford.edu
