Pierre Sermanet
- Research Area(s)
- Machine Intelligence
- Machine Perception
Co-Authors
Google Publications
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Attention for fine-grained categorization
Pierre Sermanet, Andrea Frome, Esteban Real
International Conference on Learning Representations (ICLR) workshop, Arxiv (2015)
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Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Computer Vision and Pattern Recognition (CVPR) (2015)
Previous Publications
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Overfeat: Integrated recognition, localization and detection using convolutional networks
Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, Yann LeCun
International Conference on Learning Representations (ICLR) (2014)
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Pedestrian detection with unsupervised multi-stage feature learning
Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun
Computer Vision and Pattern Recognition (CVPR) (2013)
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Convolutional Neural Networks Applied to House Numbers Digit Classification
Pierre Sermanet, Soumith Chintala, Yann LeCun
International Conference on Pattern Recognition (ICPR) (2012)
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Traffic sign recognition with multi-scale convolutional networks
Pierre Sermanet, Yann LeCun
International Joint Conference on Neural Networks (IJCNN) (2011)
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Learning convolutional feature hierarchies for visual recognition
Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michael Mathieu, Yann LeCun
Neural Information Processing Systems (NIPS) (2010)
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A multirange architecture for collision‐free off‐road robot navigation
Pierre Sermanet, Raia Hadsell, Marco Scoffier, Matt Grimes, Jan Ben, Ayse Erkan, Chris Crudele, Urs Muller, Yann LeCun
Journal of Field Robotics (2009)
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Learning long‐range vision for autonomous off‐road driving
Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun
Journal of Field Robotics (2009)






