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Dragomir Anguelov
Dragomir Anguelov
VP and Head of Research, Waymo
Verified email at cs.stanford.edu
Title
Cited by
Cited by
Year
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
630642015
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
430612016
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
29692020
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
22442005
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
16062014
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
12702017
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
11862014
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
9002010
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
8302020
Pointfusion: Deep sensor fusion for 3d bounding box estimation
D Xu, D Anguelov, A Jain
CVPR 2018, 2018
8072018
Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Y Chai, B Sapp, M Bansal, D Anguelov
CORL 2019, 2019
6802019
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
6342009
Scalable, high-quality object detection
C Szegedy, S Reed, D Erhan, D Anguelov, S Ioffe
arXiv preprint arXiv:1412.1441, 2014
5602014
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
5332010
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
5322020
Going deeper with convolutions. arXiv 2014
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842 12, 2014
5242014
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
5132005
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
5102021
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
4832010
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
4142019
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