Pierre Sermanet
Pierre Sermanet
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
297592015
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
46182013
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
9152013
Traffic sign recognition with multi-scale convolutional networks
P Sermanet, Y LeCun
The 2011 International Joint Conference on Neural Networks, 2809-2813, 2011
7522011
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
6552010
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
5382012
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
3832009
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
274*2017
Proceedings of the IEEE conference on computer vision and pattern recognition
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
IEEE, 2015
1852015
Attention for fine-grained categorization
P Sermanet, A Frome, E Real
[ICLR 2015] International Conference on Learning Representations Workshop, 2014
1542014
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
1042008
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
1002014
Unsupervised Perceptual Rewards for Imitation Learning
P Sermanet, K Xu, S Levine
[RSS 2017] Robotics: Science and Systems + Deep Learning for Action and …, 2016
862016
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
862014
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
762019
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
73
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
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
642020
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
602015
Online learning for offroad robots: Using spatial label propagation to learn long-range traversability
R Hadsell, P Sermanet, J Ben, A Erkan, J Han, B Flepp, U Muller, ...
Proc. of Robotics: Science and Systems (RSS) 11, 32, 2007
572007
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