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2020 – today
- 2022
[j1]Lucas Fernández Brillet, Nicolas Leclaire, Stéphane Mancini, Marina Nicolas, Sébastien Cleyet-Merle, Jean-Paul Henriques, Claude Delnondedieu:
Compression and Speed-up of Convolutional Neural Networks Through Dimensionality Reduction for Efficient Inference on Embedded Multiprocessor. J. Signal Process. Syst. 94(3): 263-281 (2022)- 2021
- [c7]Sébastien Merle, Juan Pedro Fernández-Palacios, Óscar González de Dios, Lluís Gifre, Ricard Vilalta, Peer Stritzinger:
Scalable and Resilient Network Traffic Engineering Using Erlang-based Path Computation Element. NFV-SDN 2021: 100-101
2010 – 2019
- 2019
- [c6]Lucas Fernández Brillet, Nicolas Leclaire, Stéphane Mancini, Sébastien Cleyet-Merle, Marina Nicolas, Jean-Paul Henriques, Claude Delnondedieu:
Speeding-up CNN inference through dimensionality reduction. DASIP 2019: 1-6 - [c5]Adam Lindberg, Sébastien Merle, Peer Stritzinger:
Scaling Erlang distribution: going beyond the fully connected mesh. Erlang Workshop 2019: 48-55 - [c4]Lucas Fernández Brillet, Stéphane Mancini, Sébastien Cleyet-Merle, Marina Nicolas:
Tunable CNN Compression Through Dimensionality Reduction. ICIP 2019: 3851-3855 - 2015
- [c3]Vítor Schwambach, Sébastien Cleyet-Merle, Alain Issard, Stéphane Mancini:
Fast parallel application and multiprocessor design space exploration from sequential code. CODES+ISSS 2015: 163-172 - [c2]Vítor Schwambach, Sébastien Cleyet-Merle, Alain Issard, Stéphane Mancini:
Image tiling for embedded applications with non-linear constraints. DASIP 2015: 1-8 - [i1]Vítor Schwambach, Sébastien Cleyet-Merle, Alain Issard, Stéphane Mancini:
Estimating the Potential Speedup of Computer Vision Applications on Embedded Multiprocessors. CoRR abs/1502.07446 (2015) - 2014
- [c1]Vítor Schwambach, Sébastien Cleyet-Merle, Alain Issard, Stéphane Mancini:
Application-level Performance Optimization: A Computer Vision Case Study on STHORM. ICCS 2014: 1113-1122
Coauthor Index
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