| Going deeper with convolutions C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 66189 | 2015 |
| Ssd: Single shot multibox detector W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 45638 | 2016 |
| 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 | 3491 | 2020 |
| Scape: shape completion and animation of people D Anguelov, P Srinivasan, D Koller, S Thrun, J Rodgers, J Davis ACM Siggraph 2005 Papers, 408-416, 2005 | 2303 | 2005 |
| Scalable object detection using deep neural networks D Erhan, C Szegedy, A Toshev, D Anguelov Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1638 | 2014 |
| 3d bounding box estimation using deep learning and geometry A Mousavian, D Anguelov, J Flynn, J Kosecka Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017 | 1339 | 2017 |
| Training deep neural networks on noisy labels with bootstrapping S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich arXiv preprint arXiv:1412.6596, 2014 | 1246 | 2014 |
| VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation J Gao, C Sun, H Zhao, Y Shen, D Anguelov, C Li, C Schmid CVPR 2020, 2020 | 947 | 2020 |
| Google street view: Capturing the world at street level D Anguelov, C Dulong, D Filip, C Frueh, S Lafon, R Lyon, A Ogale, ... Computer 43 (6), 32-38, 2010 | 938 | 2010 |
| Pointfusion: Deep sensor fusion for 3d bounding box estimation D Xu, D Anguelov, A Jain CVPR 2018, 2018 | 864 | 2018 |
| Leibe B, Matas J, Sebe N, Welling M, et al. SSD: single shot multibox detector W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg Computer Vision–ECCV 2016, 21-37, 2016 | 852 | 2016 |
| Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction Y Chai, B Sapp, M Bansal, D Anguelov CORL 2019, 2019 | 767 | 2019 |
| System and method for enabling the use of captured images through recognition SB Gokturk, D Anguelov, V Vanhoucke, K Lee, D Vu, D Yang, M Shah, ... US Patent 7,519,200, 2009 | 648 | 2009 |
| TNT: Target-driveN Trajectory Prediction H Zhao, J Gao, T Lan, C Sun, B Sapp, B Varadarajan, Y Shen, Y Shen, ... Conference of Robot Learning, 2020, 2020 | 631 | 2020 |
| 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 | 596 | 2021 |
| Scalable, high-quality object detection C Szegedy, S Reed, D Erhan, D Anguelov, S Ioffe arXiv preprint arXiv:1412.1441, 2014 | 565 | 2014 |
| System and method for enabling search and retrieval from image files based on recognized information SB Gokturk, D Anguelov, V Vanhoucke, K Lee, D Vu, D Yang, M Shah, ... US Patent 7,809,722, 2010 | 544 | 2010 |
| Discriminative learning of markov random fields for segmentation of 3d scan data D Anguelov, B Taskarf, V Chatalbashev, D Koller, D Gupta, G Heitz, A Ng 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 514 | 2005 |
| System and method for recognizing objects from images and identifying relevancy amongst images and information SB Gokturk, D Anguelov, V Vanhoucke, K Lee, D Vu, D Yang, M Shah, ... US Patent 7,809,192, 2010 | 498 | 2010 |
| 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, ... CORL 2019, 2019 | 450 | 2019 |
Dumitru ErhanDirector of Research @ Google DeepMindBestätigte E-Mail-Adresse bei google.com
