| Going deeper with convolutions C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-9, 2015 | 41760 | 2015 |
| Rethinking the inception architecture for computer vision C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2818 …, 2016 | 20745 | 2016 |
| Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups G Hinton, L Deng, D Yu, GE Dahl, A Mohamed, N Jaitly, A Senior, ... IEEE Signal processing magazine 29 (6), 82-97, 2012 | 11411 | 2012 |
| Inception-v4, inception-resnet and the impact of residual connections on learning C Szegedy, S Ioffe, V Vanhoucke, AA Alemi Thirty-first AAAI conference on artificial intelligence, 2017 | 11323 | 2017 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 9527 | 2016 |
| Improving the speed of neural networks on CPUs V Vanhoucke, A Senior, MZ Mao 2011 NIPS Deep Learning and Unsupervised Feature Learning Workshop, 2011 | 860 | 2011 |
| Scalable deep reinforcement learning for vision-based robotic manipulation D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ... 2nd Conference on Robot Learning (CoRL), 651-673, 2018 | 837 | 2018 |
| System and method for enabling the use of captured images through recognition US Patent 20,060,251,339, 0 | 654* | |
| On rectified linear units for speech processing MD Zeiler, M Ranzato, R Monga, M Mao, K Yang, QV Le, P Nguyen, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 620 | 2013 |
| Using simulation and domain adaptation to improve efficiency of deep robotic grasping K Bousmalis, A Irpan, P Wohlhart, Y Bai, M Kelcey, M Kalakrishnan, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 4243-4250, 2018 | 531 | 2018 |
| Sim-to-real: Learning agile locomotion for quadruped robots J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ... Robotics: Science and Systems (RSS) XIV, 2018 | 494 | 2018 |
| 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 | 494 | 2010 |
| 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 | 433 | 2010 |
| System and method for providing objectified image renderings using recognition information from images SB Gokturk, D Anguelov, V Vanhoucke, K Lee, D Vu, D Yang, M Shah, ... US Patent 7,783,135, 2010 | 418* | 2010 |
| YouTube-BoundingBoxes: A large high-precision human-annotated data set for object detection in video E Real, J Shlens, S Mazzocchi, X Pan, V Vanhoucke IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5296-5305, 2017 | 415 | 2017 |
| System and method for enabling image recognition and searching of images SB Gokturk, B Sumengen, D Vu, N Dalal, D Yang, X Lin, A Khan, M Shah, ... US Patent 7,657,100, 2010 | 391 | 2010 |
| Multilingual acoustic models using distributed deep neural networks G Heigold, V Vanhoucke, A Senior, P Nguyen, MA Ranzato, M Devin, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 345 | 2013 |
| Application of pretrained deep neural networks to large vocabulary speech recognition N Jaitly, P Nguyen, A Senior, V Vanhoucke Interspeech, 2012 | 339 | 2012 |
| System and method for search portions of objects in images and features thereof SB Gokturk, B Sumengen, D Vu, N Dalal, D Yang, X Lin, A Khan, M Shah, ... US Patent 7,657,126, 2010 | 316 | 2010 |
| System and method for enabling image recognition and searching of remote content on display US Patent 20,080,082,426, 0 | 298* | |
Dragomir AnguelovDistinguished Researcher, WaymoEmail verificata su cs.stanford.edu
