nf hardware: neuFlow          vi computer vision         cn convolutional networks         sw software


Recent/Preprints

vi cn Indoor Semantic Segmentation using depth information
PDF
ARXIV
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).
vi cn Clustering Learning for Robotic Vision
PDF
ARXIV
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).
vi cn Causal graph-based video segmentation
PDF
ARXIV
C. Couprie, C. Farabet, Y. LeCun “Causal graph-based video segmentation”, ArXiv preprint, January 2013.
Collaborators:
Yann LeCun
Laurent Najman
Camille Couprie
Marco Scoffier
Koray Kavukcuoglu Ronan Collobert
Srini Turaga
Pierre Sermanet
Eugenio Culurciello

Conference Proceedings

vi cn Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
PDF
POSTER
SLIDES
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.
nf NeuFlow: Dataflow Vision Processing System-on-a-Chip
PDF 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.
nf vi cn NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
PDF
SLIDES
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.
nf vi cn Hardware Accelerated Convolutional Neural Networks for Synthetic Vision Systems
PDF 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.
vi cn Convolutional Networks and Applications in Vision
PDF 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.
nf vi cn An FPGA-Based Stream Processor for Embedded Real-Time Vision with Convolutional Networks
PDF 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.
nf cn CNP: An FPGA-based Processor for Convolutional Networks
PDF 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.
vi Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea
PDF 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.

Book Chapter

nf cn Large-Scale FPGA-Based Convolutional Networks
PDF
BOOK
C. Farabet, Y. LeCun, K. Kavukcuoglu, B. Martini, P. Akselrod, S. Talay, and E. Culurciello (2011). Large-Scale FPGA-Based Convolutional Networks. In R. Bekkerman, M. Bilenko, and J. Langford (Ed.), Scaling Up Machine Learning. Cambridge University Press, 2011.

PhD Thesis

nf vi cn Towards Real-Time Image Understanding with Convolutional Networks
PDF C. Farabet, PhD (2013). “Towards Real-Time Image Understanding with Convolutional Networks”. PhD Thesis. Universite Paris-Est.

Journal Papers

cn vi Learning Hierarchical Features for Scene Labeling
PDF 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.
nf cn Comparison Between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing
PDF 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.
vi Visual Tracking and LIDAR Relative Positioning for Automated Launch and Recovery of an Unmanned Rotorcraft from Ships at Sea
PDF 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.

Workshops

nf vi cn NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
Slides C. Farabet, Y. LeCun, “NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision”, in Big Learning Workshop (@ NIPS'11), Sierra Nevada, Spain, 2011. Invited Talk.
sw Torch7: A Matlab-like Environment for Machine Learning
PDF R. Collobert, K. Kavukcuoglu, C. Farabet, “Torch7: A Matlab-like Environment for Machines Learning”, in Big Learning Workshop (@ NIPS'11), Sierra Nevada, Spain, 2011.
nf vi cn NeuFlow: A Runtime Reconfigurable Dataflow Architecture for Vision
PDF C. Farabet, Y. LeCun, E. Culurciello, “NeuFlow: A Runtime Reconfigurable Dataflow Architecture for Vision”, in Snowbird Learning Workshop, Fort Lauderdale FL, 2011.
nf vi Hardware Accelerated Visual Attention Algorithm
PDF 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.
nf vi cn A Dataflow Processor for General Purpose Vision
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.
sw Building Heterogeneous Platforms for End-to-end Online Learning Based on Dataflow Computing Design
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.
sw A Study of Parallel Computing for Machine Learning: Which Platform for Which Application
POSTER 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.
nf NeuFlow: a Vision Processor for Real-Time Object Categorization in Megapixel Videos
C. Farabet, “NeuFlow: a Vision Processor for Real-Time Object Categorization in Megapixel Videos”, presented at AIPR Workshop, Washington DC, October 2010.
nf NeuFlow: a Dataflow Computer for General Purpose Vision
SLIDES C. Farabet, “NeuFlow: a Dataflow Computer for General Purpose Vision”, presented at e-lab's Seminar Series, Yale University, October 2010.
nf vi Bio-Inspired Processing for Ultra-Fast Object Categorization
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.
cn An FPGA-based Processor for Convolutional Networks
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.
cn Hardware implementation of a convolutional neural network – design of a neural processor
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.
vi Cartography of a wall in a coke oven by reconstruction of a panoramic picture
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.
vi Implementation of a tracking system within an fpga
C. Farabet, “Implementation of a tracking system within an fpga”, University of New South Wales at ADFA, Canberra, Australia, Technical Report, July 2007.