Clément Farabet

发表

Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea

Matthew Garratt, Hemanshu R. Pota, Andrew Lambert, 2009 .

Learning Hierarchical Features for Scene Labeling

Camille Couprie, Clément Farabet, Laurent Najman, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Clustering Learning for Robotic Vision pdf

Eugenio Culurciello, Clément Farabet, José Antonio Pérez-Carrasco, 2013, ICLR.

Torch7: A Matlab-like Environment for Machine Learning

Clément Farabet, Koray Kavukcuoglu, Ronan Collobert, 2011, NIPS 2011.

Indoor semantic segmentation using depth information: 1st International Conference on Learning Representations, ICLR 2013

Yann LeCun, Camille Couprie, Clément Farabet, 2013, ICLR 2013.

Implementing Neural Networks Efficiently

Clément Farabet, Koray Kavukcuoglu, Ronan Collobert, 2012, Neural Networks: Tricks of the Trade.

An FPGA-based stream processor for embedded real-time vision with Convolutional Networks

Yann LeCun, Clément Farabet, Cyril Poulet, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Towards real-time image understanding with convolutional networks

Clément Farabet, C. Farabet, 2013 .

Towards Real-Time Image Understanding with Convolutional Networks. (Analyse sémantique des images en temps-réel avec des réseaux convolutifs)

Clément Farabet, Clément Farabet, 2013 .

Hardware accelerated convolutional neural networks for synthetic vision systems

Berin Martini, Eugenio Culurciello, Yann LeCun, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers pdf

Yann LeCun, Camille Couprie, Clément Farabet, 2012, ICML.

Large-Scale FPGA-based Convolutional Networks

Berin Martini, Eugenio Culurciello, Yann LeCun, 2011 .

Indoor Semantic Segmentation using depth information pdf

Yann LeCun, Camille Couprie, Clément Farabet, 2013, ICLR.

Hardware accelerated visual attention algorithm

Berin Martini, Eugenio Culurciello, Yann LeCun, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

Tracking with deep neural networks

Eugenio Culurciello, Clément Farabet, Jonghoon Jin, 2013, 2013 47th Annual Conference on Information Sciences and Systems (CISS).

ReLU, Sigmoid, Tanh, Log, Cos, Dropout, Negate, Softmax, LogSoftmax, SumElements, RowSlice, RowStack, Scale, Times, DiagTimes, Plus, Minus, ElementTimes, KhatriRaoProd- uct, Reshape traInIng crIterIa SquareError, CrossEntropyWithSoftmax, ClassificationError, ClassBasedCrossEntropyWith- SoftMax, GMML

Clément Farabet, Koray Kavukcuoglu, Ronan Collobert, 2015 .

NeuFlow: A runtime reconfigurable dataflow processor for vision

Berin Martini, Eugenio Culurciello, Yann LeCun, 2011, CVPR 2011 WORKSHOPS.

Causal graph-based video segmentation

Yann LeCun, Camille Couprie, Clément Farabet, 2013, 2013 IEEE International Conference on Image Processing.

Toward real-time indoor semantic segmentation using depth information

Yann LeCun, Camille Couprie, Clément Farabet, 2014 .

CNP: An FPGA-based processor for Convolutional Networks

Yann LeCun, Clément Farabet, Jefferson Y. Han, 2009, 2009 International Conference on Field Programmable Logic and Applications.

Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos

Yann LeCun, Camille Couprie, Clément Farabet, 2014, J. Mach. Learn. Res..

Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing

Bernabe Linares-Barranco, Eugenio Culurciello, Yann LeCun, 2012, Front. Neurosci..

Convolutional networks and applications in vision

Yann LeCun, Clément Farabet, Koray Kavukcuoglu, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Bio-Inspired Vision Processor for Ultra-Fast Object Categorization

Berin Martini, Eugenio Culurciello, Yann LeCun, 2010 .