LUX: An Heterogeneous Function Composition Parallel Computer for Graphics. - Stéphane Mancini; Renaud Pacalet (Euro-Par, 1999)

LUX: A Heterogeneous Parallel Computer Dedicated to Ray Tracing. - Stéphane Mancini; Renaud Pacalet (Parallel Distributed Comput. Pract., 2000)

Cued speech hand gestures recognition tool. - Thomas Burger; Alice Caplier; Stéphane Mancini (EUSIPCO, 2005)

Ray Casting on a SOPC : Algorithm and Memory Hierarchy Trade-Off. - Stéphane Mancini; Michel Desvignes (CIT, 2006)

Hardware/software 2D-3D backprojection on a SoPC platform. - Nicolas Gac; Stéphane Mancini; Michel Desvignes (SAC, 2006)

Automatic generation of a parallel tile processing unit for algorithms with non-affine array references. - Rosilde Corvino; Stéphane Mancini; Roberto Guizzetti (IFMT, 2008)

Simulation results of a small animal liquid xenon PET detector. - Yannick Grondin; Michel Desvignes; Laurent Desbat; Stéphane Mancini; Marie-Laure Gallin-Martel; Laurent Gallin-Martel; Olivier Rossetto (ISBI, 2008)

High Speed 3D Tomography on CPU, GPU, and FPGA. - Nicolas Gac; Stéphane Mancini; Michel Desvignes; Dominique Houzet (EURASIP J. Embed. Syst., 2008)

High Efficiency Reconfigurable Cache for Image Processing. - Zahir Larabi; Yves Mathieu; Stéphane Mancini (ERSA, 2009)

Another take on functional system-level design and modeling. - Tomasz Toczek; Dominique Houzet; Stéphane Mancini (FDL, 2009)

Efficient Data Access Management for FPGA-Based Image Processing SoCs. - Zahir Larabi; Yves Mathieu; Stéphane Mancini (IEEE International Workshop on Rapid System Prototyping, 2009)

Calibrating a predictive cache emulator for SoC design. - Stéphane Mancini; Lionel Pierrefeu; Zahir Larabi; Yves Mathieu (AHS, 2010)

Effficient stackless ray traversal for bounding sphere hierarchies with CUDA. - Tomasz Toczek; Dominique Houzet; Stéphane Mancini (ICCS, 2010)

Enhancing non-linear kernels by an optimized memory hierarchy in a High Level Synthesis flow. - Stéphane Mancini; Frédéric Rousseau 001 (DATE, 2012)

Exploration of 3D grid caching strategies for ray-shooting. - Stéphane Mancini; Zahir Larabi; Yves Mathieu; Tomasz Toczek; Lionel Pierrefeu (J. Real Time Image Process., 2012)

Design of a pseudo-log image transform IP in an HLS-based memory management framework. - Shahzad Ahmad Butt; Stéphane Mancini; Frédéric Rousseau 001; Luciano Lavagno (Real-Time Image and Video Processing, 2013)

Closed-loop adaptive and stochastic prefetch mechanism for data array. - Lionel Vincent; Stéphane Mancini (DASIP, 2014)

Application-level Performance Optimization: A Computer Vision Case Study on STHORM. - Vítor Schwambach; Sébastien Cleyet-Merle; Alain Issard; Stéphane Mancini (ICCS, 2014)

Design of a pseudo-log image transform hardware accelerator in a high-level synthesis-based memory management framework. - Shahzad Ahmad Butt; Stéphane Mancini; Frédéric Rousseau 001; Luciano Lavagno (J. Electronic Imaging, 2014)

Fast parallel application and multiprocessor design space exploration from sequential code. - Vítor Schwambach; Sébastien Cleyet-Merle; Alain Issard; Stéphane Mancini (CODES+ISSS, 2015)

Image tiling for embedded applications with non-linear constraints. - Vítor Schwambach; Sébastien Cleyet-Merle; Alain Issard; Stéphane Mancini (DASIP, 2015)

Estimating the Potential Speedup of Computer Vision Applications on Embedded Multiprocessors. - Vítor Schwambach; Sébastien Cleyet-Merle; Alain Issard; Stéphane Mancini (CoRR, 2015)

Memory management in embedded vision systems: Optimization problems and solution methods. - Khadija Hadj Salem; Yann Kieffer; Stéphane Mancini (DASIP, 2016)

Formulation and Practical Solution for the Optimization of Memory Accesses in Embedded Vision Systems. - Khadija Hadj Salem; Yann Kieffer; Stéphane Mancini (FedCSIS, 2016)

Prototyping a Panoptic Camera by means of High Level Synthesis: Demo. - Sylvain Guy; Stéphane Mancini (ICDSC, 2016)

Efficient algorithms for memory management in embedded vision systems. - Khadija Hadj Salem; Yann Kieffer; Stéphane Mancini (SIES, 2016)

Speeding-up CNN inference through dimensionality reduction. - Lucas Fernández Brillet; Nicolas Leclaire; Stéphane Mancini; Sébastien Cleyet-Merle; Marina Nicolas; Jean-Paul Henriques; Claude Delnondedieu (DASIP, 2019)

Tunable CNN Compression Through Dimensionality Reduction. - Lucas Fernández Brillet; Stéphane Mancini; Sébastien Cleyet-Merle; Marina Nicolas (ICIP, 2019)

Efficient Implementation of Convolution and Winograd on ASMP Embedded Multicore Vector Processor. - Nicolas Leclaire; Stéphane Mancini; Claude Delnondedieu; Jean-Paul Henriques (SiPS, 2020)

An improved event-by-event clustering algorithm for noisy acquisition. - Xavier Lesage; Rosalie Tran; Stéphane Mancini; Laurent Fesquet (EBCCSP, 2022)

Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy. - Sylvain Guy; Jean-Loup Haberbusch; Emmanuel Promayon; Stéphane Mancini; Sandrine Voros (J. Imaging, 2022)

Minimizing makespan under data prefetching constraints for embedded vision systems: a study of optimization methods and their performance. - Khadija Hadj Salem; Vincent Jost; Yann Kieffer; Luc Libralesso; Stéphane Mancini (Oper. Res., 2022)

Feasibility of a Real-Time Embedded Hyperspectral Compressive Sensing Imaging System. - Olivier Lim; Stéphane Mancini; Mauro Dalla Mura (Sensors, 2022)

Compression and Speed-up of Convolutional Neural Networks Through Dimensionality Reduction for Efficient Inference on Embedded Multiprocessor. - Lucas Fernández Brillet; Nicolas Leclaire; Stéphane Mancini; Marina Nicolas; Sébastien Cleyet-Merle; Jean-Paul Henriques; Claude Delnondedieu (J. Signal Process. Syst., 2022)

Low-Throughput Event-Based Image Sensors and Processing. - Laurent Fesquet; Rosalie Tran; Xavier Lesage; Mohamed Akrarai; Stéphane Mancini; Gilles Sicard (DATE, 2023)

Potential of an Embedded Hyperspectral Compressive Imaging System for Remote Sensing Applications. - Olivier Lim; Stéphane Mancini; Mauro Dalla Mura (IGARSS, 2023)

Velocity and Color Estimation Using Event-Based Clustering. - Xavier Lesage; Rosalie Tran; Stéphane Mancini; Laurent Fesquet (Sensors, 2023)