Pierre Sermanet
Pierre Sermanet
Research Scientist, Google
Подтвержден адрес электронной почты в домене google.com - Главная страница
Название
Процитировано
Процитировано
Год
Going deeper with convolutions
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
[CVPR 2015] Computer Vision and Pattern Recognition, 2015
312952015
Overfeat: Integrated recognition, localization and detection using convolutional networks
P Sermanet, D Eigen, X Zhang, M Mathieu, R Fergus, Y LeCun
[ICLR 2014] International Conference on Learning Representations, 16, 2013
47212013
Pedestrian detection with unsupervised multi-stage feature learning
P Sermanet, K Kavukcuoglu, S Chintala, Y LeCun
Computer Vision and Pattern Recognition (CVPR 2013), 3626-3633, 2013
9342013
Traffic sign recognition with multi-scale convolutional networks
P Sermanet, Y LeCun
The 2011 International Joint Conference on Neural Networks, 2809-2813, 2011
7742011
Learning convolutional feature hierarchies for visual recognition
K Kavukcuoglu, P Sermanet, YL Boureau, K Gregor, M Mathieu, Y Cun
Advances in neural information processing systems 23, 1090-1098, 2010
6612010
Convolutional Neural Networks Applied to House Numbers Digit Classification
P Sermanet, S Chintala, Y LeCun
21st International Conference on Pattern Recognition (ICPR 2012), 3288-3291, 2012
5522012
Learning long‐range vision for autonomous off‐road driving
R Hadsell, P Sermanet, J Ben, A Erkan, M Scoffier, K Kavukcuoglu, ...
Journal of Field Robotics 26 (2), 120-144, 2009
3942009
Time-Contrastive Networks: Self-Supervised Learning from Video
P Sermanet, C Lynch, Y Chebotar, J Hsu, E Jang, S Schaal, S Levine
[ICRA 2018] International Conference in Robotics and Automation + Deep …, 2017
297*2017
Proceedings of the IEEE conference on computer vision and pattern recognition
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
IEEE, 2015
2052015
Attention for fine-grained categorization
P Sermanet, A Frome, E Real
[ICLR 2015] International Conference on Learning Representations Workshop, 2014
1572014
Deep belief net learning in a long-range vision system for autonomous off-road driving
R Hadsell, A Erkan, P Sermanet, M Scoffier, U Muller, Y LeCun
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
1062008
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 1409, 2014
1042014
Temporal cycle-consistency learning
D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
932019
Going deeper with convolutions. 2014
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842, 1409, 2014
912014
Unsupervised Perceptual Rewards for Imitation Learning
P Sermanet, K Xu, S Levine
[RSS 2017] Robotics: Science and Systems + Deep Learning for Action and …, 2016
892016
Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv 2013
P Sermanet, D Eigen, X Zhang, M Mathieu, R Fergus, Y LeCun
arXiv preprint arXiv:1312.6229, 0
81
Learning latent plans from play
C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet
Conference on Robot Learning, 1113-1132, 2020
732020
Going deeper with convolutions. CoRR abs/1409.4842 (2014)
C Szegedy, W Liu, Y Jia, P Sermanet, SE Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842, 2014
712014
2015 IEEE Conference on computer vision and pattern recognition (CVPR)
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
IEEE Computer Society, 2015
632015
Google Brain. Time-contrastive networks: Self-supervised learning from video
P Sermanet, C Lynch, Y Chebotar, J Hsu, E Jang, S Schaal, S Levine
2018 IEEE International Conference on Robotics and Automation (ICRA) 3, 2018
602018
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20