| 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 | 30355 | 2015 |
| 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 | 4661 | 2013 |
| 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 | 921 | 2013 |
| Traffic sign recognition with multi-scale convolutional networks P Sermanet, Y LeCun The 2011 International Joint Conference on Neural Networks, 2809-2813, 2011 | 759 | 2011 |
| 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 | 658 | 2010 |
| 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 | 543 | 2012 |
| 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 | 390 | 2009 |
| 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 | 285* | 2017 |
| Proceedings of the IEEE conference on computer vision and pattern recognition C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna IEEE, 2015 | 190 | 2015 |
| Attention for fine-grained categorization P Sermanet, A Frome, E Real [ICLR 2015] International Conference on Learning Representations Workshop, 2014 | 156 | 2014 |
| 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 | 104 | 2008 |
| 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 | 100 | 2014 |
| Unsupervised Perceptual Rewards for Imitation Learning P Sermanet, K Xu, S Levine [RSS 2017] Robotics: Science and Systems + Deep Learning for Action and …, 2016 | 88 | 2016 |
| 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 | 86 | 2014 |
| 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 | 83 | 2019 |
| 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 | 75 | |
| 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 | 71 | 2014 |
| 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 | 67 | 2020 |
| 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 | 61 | 2015 |
| 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 | 57 | 2007 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
