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vi
cn
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Indoor Semantic Segmentation using depth information
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PDF
ARXIV
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C. Couprie, C. Farabet, L. Najman, Y. LeCun
“Indoor Semantic Segmentation using depth information”,
ArXiv preprint, January 2013, in review for the Proceedings of the International Conference on Learning Representations
(note: ICLR uses an open review system, available here).
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vi
cn
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Clustering Learning for Robotic Vision
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PDF
ARXIV
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C. Culurciello, J. Bates, A. Dundar, J. Carrasco, C. Farabet
“Clustering Learning for Robotic Vision”,
ArXiv preprint, January 2013, in review for the Proceedings of the International Conference on Learning Representations
(note: ICLR uses an open review system, available here).
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vi
cn
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Causal graph-based video segmentation
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PDF
ARXIV
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C. Couprie, C. Farabet, Y. LeCun
“Causal graph-based video segmentation”,
ArXiv preprint, January 2013.
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vi
cn
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Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
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PDF
POSTER
SLIDES
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C. Farabet, C. Couprie, L. Najman, Y. LeCun,
“Scene Parsing with Multiscale Feature
Learning, Purity Trees, and Optimal
Covers”,
in Proc. of the International Conference
on Machine Learning (ICML'12), Edinburgh,
Scotland, 2012.
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nf
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NeuFlow: Dataflow Vision Processing System-on-a-Chip
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PDF
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Phi-Hung Pham, Darko Jelaca, Clement Farabet, Berin Martini, Yann
LeCun and Eugenio Culurciello,
“NeuFlow: Dataflow Vision Processing System-on-a-Chip”,
in IEEE International Midwest Symposium on
Circuits and systems, IEEE MWSCAS,
2012, Boise, Idaho, USA.
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nf
vi
cn
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NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
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PDF
SLIDES
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C. Farabet, B. Martini, B. Corda, P. Akselrod, E. Culurciello and Y. LeCun,
“NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision”,
in Proc. of the Fifth IEEE Workshop on Embedded Computer Vision
(ECV'11 @ CVPR'11), IEEE, Colorado Springs, 2011. Invited Paper.
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nf
vi
cn
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Hardware Accelerated Convolutional Neural Networks for Synthetic Vision
Systems
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PDF
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C. Farabet, B. Martini, P. Akselrod, S. Talay, Y. LeCun and E. Culurciello,
“Hardware Accelerated Convolutional Neural Networks for Synthetic Vision
Systems”, in International Symposium on Circuits and Systems
(ISCAS'10), IEEE, Paris, 2010.
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vi
cn
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Convolutional Networks and Applications in Vision
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PDF
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Y. LeCun, K. Kavukcuoglu and C. Farabet, “Convolutional Networks and Applications
in Vision”, in International Symposium on Circuits and Systems (ISCAS'10),
IEEE, Paris, 2010.
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nf
vi
cn
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An FPGA-Based Stream Processor for Embedded Real-Time Vision with Convolutional Networks
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PDF
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C. Farabet, C. Poulet and Y. LeCun, “An FPGA-Based Stream Processor
for Embedded Real-Time Vision with Convolutional Networks”, in Proc.
of the Fifth IEEE Workshop on Embedded Computer Vision (ECV'09 @ ICCV'09), IEEE,
Kyoto, 2009.
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nf
cn
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CNP: An FPGA-based Processor for Convolutional Networks
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PDF
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C. Farabet, C. Poulet, J. Y. Han, and Y. LeCun, “CNP: An FPGA-based Processor for Convolutional Networks”, in Proc. International Conference on Field Programmable Logic and Applications (FPL’09), IEEE, Prague, 2009.
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vi
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Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea
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PDF
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M. Garratt, H. Pota, A. Lambert, S. E.-Maslin, and C. Farabet. “Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea”. In ASNE Conference on Launch and Recovery of Manned and Unmanned Vehicles From Surface Platforms 2008, Annapolis, May 2008. American Society of Naval Engineers.
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cn
vi
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Learning Hierarchical Features for Scene Labeling
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PDF
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Clement Farabet, Camille Couprie, Laurent Najman and Yann LeCun,
“Learning Hierarchical Features for Scene Labeling”,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
in press, 2013.
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nf
cn
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Comparison Between Frame-Constrained
Fix-Pixel-Value and Frame-Free
Spiking-Dynamic-Pixel ConvNets for Visual
Processing
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PDF
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Clement Farabet, Rafael Paz, Jose Perez-Carrasco,
Carlos Zamarreno, Alejandro Linares-Barranco, Yann
LeCun, Eugenio Culurciello, Teresa Serrano-Gotarredona
and Bernabe Linares-Barranco,
“ Comparison Between Frame-Constrained
Fix-Pixel-Value and Frame-Free
Spiking-Dynamic-Pixel ConvNets for Visual
Processing”,
Frontiers in Neuroscience,
6(00032), DOI:
10.3389/fnins.2012.00032 (open access), 2012.
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vi
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Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea
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PDF
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M. Garratt, H. Pota, A. Lambert, S. E.-Maslin, and C. Farabet, “Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea”, Naval Engineers Journal, vol. 121, no. 2, pp. 99-110, June 2009.
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nf
vi
cn
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NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
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Slides
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C. Farabet, Y. LeCun, “NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision”, in Big Learning Workshop (@ NIPS'11), Sierra Nevada, Spain, 2011.
Invited Talk.
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sw
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Torch7: A Matlab-like Environment for Machine Learning
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PDF
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R. Collobert, K. Kavukcuoglu, C. Farabet, “Torch7: A Matlab-like Environment for Machines Learning”, in Big Learning Workshop (@ NIPS'11), Sierra Nevada, Spain, 2011.
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nf
vi
cn
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NeuFlow: A Runtime Reconfigurable Dataflow Architecture for Vision
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PDF
|
C. Farabet, Y. LeCun, E. Culurciello, “NeuFlow: A Runtime Reconfigurable Dataflow Architecture for Vision”, in Snowbird Learning Workshop, Fort Lauderdale FL, 2011.
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nf
vi
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Hardware Accelerated Visual Attention Algorithm
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PDF
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P. Akselrod, F. Zhao, I. Derekli, C. Farabet, B. Martini, Y. LeCun and Eugenio Culurciello, “Hardware Accelerated Visual Attention Algorithm”. In Proc. Conference on Information Sciences and Systems (CISS’11), IEEE, Baltimore, 2011.
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nf
vi
cn
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A Dataflow Processor for General Purpose Vision
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POSTER
|
C. Farabet, P. Akselrod, B. Martini, K. Kavukcuoglu, B. Corda, S. Talay, E. Culurciello and Y. LeCun, “A Dataflow Processor for General Purpose Vision”, presented at Neural Information Processing Systems (NIPS'10), Vancouver CA, December 2010.
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sw
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Building Heterogeneous Platforms for End-to-end Online Learning Based on Dataflow Computing Design
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POSTER
|
B. Corda, C. Farabet, M. Scoffier and Y. LeCun, “Building Heterogeneous Platforms for End-to-end Online Learning Based on Dataflow Computing Design”, in Workshop on Learning on Cores, Clusters and Clouds (LCCC @ NIPS’10), Whistler CA, December 2010.
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sw
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A Study of Parallel Computing for Machine Learning: Which Platform for Which Application
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POSTER
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B. Corda, C. Farabet and Y. LeCun, “A Study of Parallel Computing for Machine Learning: Which Platform for Which Application”, presented at the 4th Annual Machine Learning Symposium at the New York Academy of Sciences, New York, October 2010.
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nf
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NeuFlow: a Vision Processor for Real-Time Object Categorization in Megapixel Videos
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C. Farabet, “NeuFlow: a Vision Processor for Real-Time Object Categorization in Megapixel Videos”, presented at AIPR Workshop, Washington DC, October 2010.
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nf
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NeuFlow: a Dataflow Computer for General Purpose Vision
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SLIDES
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C. Farabet, “NeuFlow: a Dataflow Computer for General Purpose Vision”, presented at e-lab's Seminar Series, Yale University, October 2010.
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nf
vi
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Bio-Inspired Processing for Ultra-Fast Object Categorization
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PDF
SLIDES
|
C. Farabet, B. Martini, P. Akselrod, S. Talay, Y. LeCun and E. Culurciello, “Bio-Inspired Processing for Ultra-Fast Object Categorization”, in High Performance Embedded Computing (HPEC'10), MIT Lincoln Laboratory, Lexington, 2010.
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cn
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An FPGA-based Processor for Convolutional Networks
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PDF
|
C. Farabet, C. Poulet, J. Y. Han, and Y. LeCun, “An FPGA-based Processor for Convolutional Networks”, in Snowbird Learning Workshop, Clearwater FL, 2009.
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cn
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Hardware implementation of a convolutional neural network – design of a
neural processor
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C. Farabet, “Hardware implementation of a convolutional neural
network – design of a neural processor”, Master’s
thesis, INSA Lyon, France – New York University, New York, USA.
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vi
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Cartography of a wall in a coke oven by reconstruction of a panoramic picture
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C. Farabet, I. Ghizdavescu, S. Autin, and C. Revesz, “Cartography of a
wall in a coke oven by reconstruction of a panoramic picture”,
January 2008, available in the TdSI journal, INSA Lyon, France.
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vi
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Implementation of a tracking system within an fpga
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C. Farabet, “Implementation of a tracking system within an
fpga”, University of New South Wales at ADFA, Canberra, Australia,
Technical Report, July 2007.
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