Clement Farabet
Cited by
Cited by
Learning hierarchical features for scene labeling
C Farabet, C Couprie, L Najman, Y LeCun
IEEE transactions on pattern analysis and machine intelligence 35 (8), 1915-1929, 2012
Convolutional networks and applications in vision
Y LeCun, K Kavukcuoglu, C Farabet
Proceedings of 2010 IEEE international symposium on circuits and systems …, 2010
Torch7: A matlab-like environment for machine learning
R Collobert, K Kavukcuoglu, C Farabet
BigLearn, NIPS workshop, 2011
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Indoor semantic segmentation using depth information
C Couprie, C Farabet, L Najman, Y LeCun
arXiv preprint arXiv:1301.3572, 2013
Neuflow: A runtime reconfigurable dataflow processor for vision
C Farabet, B Martini, B Corda, P Akselrod, E Culurciello, Y LeCun
CVPR 2011 workshops, 109-116, 2011
Cnp: An fpga-based processor for convolutional networks
C Farabet, C Poulet, JY Han, Y LeCun
2009 International Conference on Field Programmable Logic and Applications …, 2009
Hardware accelerated convolutional neural networks for synthetic vision systems
C Farabet, B Martini, P Akselrod, S Talay, Y LeCun, E Culurciello
Proceedings of 2010 IEEE international symposium on circuits and systems …, 2010
Scene parsing with multiscale feature learning, purity trees, and optimal covers
C Farabet, C Couprie, L Najman, Y LeCun
arXiv preprint arXiv:1202.2160, 2012
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
Large-scale FPGA-based convolutional networks
C Farabet, Y LeCun, K Kavukcuoglu, E Culurciello, B Martini, P Akselrod, ...
Scaling up machine learning: parallel and distributed approaches 13 (3), 399-419, 2011
Scalable active learning for object detection
E Haussmann, M Fenzi, K Chitta, J Ivanecky, H Xu, D Roy, A Mittel, ...
2020 IEEE intelligent vehicles symposium (iv), 1430-1435, 2020
NeuFlow: Dataflow vision processing system-on-a-chip
PH Pham, D Jelaca, C Farabet, B Martini, Y LeCun, E Culurciello
2012 IEEE 55th International Midwest Symposium on Circuits and Systems …, 2012
Active learning for deep object detection via probabilistic modeling
J Choi, I Elezi, HJ Lee, C Farabet, JM Alvarez
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Runtime reconfigurable dataflow processor with multi-port memory access module
C Farabet, Y LeCun
US Patent 10,078,620, 2018
Comparison between frame-constrained fix-pixel-value and frame-free spiking-dynamic-pixel convnets for visual processing
C Farabet, R Paz, J Pérez-Carrasco, C Zamarreño-Ramos, ...
Frontiers in neuroscience 6, 32, 2012
An fpga-based stream processor for embedded real-time vision with convolutional networks
C Farabet, C Poulet, Y LeCun
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
Tracking with deep neural networks
J Jin, A Dundar, J Bates, C Farabet, E Culurciello
2013 47th annual conference on information sciences and systems (CISS), 1-5, 2013
Visual tracking and lidar relative positioning for automated launch and recovery of an unmanned rotorcraft from ships at sea
M Garratt, H Pota, A Lambert, S ECKERSLEY‐MASLIN, C Farabet
Naval Engineers Journal 121 (2), 99-110, 2009
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