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83 Results
WPMVP 2019: Proceedings of the 2019 5th Workshop on Programming Models for SIMD/Vector ProcessingACM, 2019, ⟨10.1145/3303117⟩
Proceedings
hal-03126855v1
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METEORIX: a CubeSat mission for detection and characterization of meteors and space debrisEuropean CubeSat Symposium, Nov 2021, Palaiseau, France
Conference papers
hal-03499257v1
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A Modular System for Global and Local Abnormal Event Detection and Categorization in VideosMachine Vision and Applications, 2016, 27 (4), pp.463-481. ⟨10.1007/s00138-016-0752-z⟩
Journal articles
hal-01361132v1
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Parallel Light Speed Labeling: an efficient connected component algorithm for labeling and analysis on multi-core processorsJournal of Real-Time Image Processing, 2018, 15 (1), pp.173-196. ⟨10.1007/s11554-016-0574-2⟩
Journal articles
hal-01361188v1
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SparseCCL: Connected Components Labeling and Analysis for sparse imagesDASIP 2019 - The Conference on Design and Architectures for Signal and Image Processing, Oct 2019, Montréal, Canada
Conference papers
hal-02343598v1
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Parallélisation d'une nouvelle application embarquée pour la détection automatique de météoresCOMPAS 2023 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2023, Annecy (France), France. ⟨10.48550/arXiv.2307.10632⟩
Conference papers
hal-04164359v1
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Extensions SIMD des jeux d'instructionsTechniques de l'Ingenieur, 2015
Journal articles
hal-01793974v1
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Analysis of Multicore CPU and GPU toward Parallelization of Total Focusing Method ultrasound reconstructionDASIP 2012 - Conference on Design and Architectures for Signal and Image Processing, Electronic Chips & Systems design Initiative, Oct 2012, Karlsruhe, Germany
Conference papers
hal-01093274v1
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Can general purpose micro-processors simulate neural networks in real-time?IWANN'99, 1999, Alicante, Spain
Conference papers
hal-01534370v1
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Enhanced Local Binary covariance matrices (ELBCM) for texture analysis and object trackingInternational Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications, ACM, Jan 2013, Berlin, Germany
Conference papers
hal-01805045v1
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Low power image processing: analog versus digital comparison2005, pp.111-115, ⟨10.1109/CAMP.2005.33⟩
Conference papers
hal-00015955v1
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Jeux d’instructions : extensions SIMD et extensions vectoriellesTechniques de l'Ingenieur, 2020
Journal articles
hal-02852880v1
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Une nouvelle application de détection de météores robuste aux mouvements de caméraGroupe de Recherche et d'Études de Traitement du Signal et des Images (GRETSI), Aug 2023, Grenoble, France. ⟨10.48550/arXiv.2309.06027⟩
Conference papers
hal-04198536v1
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A new Direct Connected Component Labeling and Analysis Algorithm for GPUsGPU Technology Conference (GTC), Mar 2019, San Jose, United States
Conference papers
hal-02198012v1
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Real-time embedded video denoiser prototype9th International Symposium - Optronics in Defense and Security (Optro), Jan 2020, Paris, France
Conference papers
hal-02469914v1
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Impact of High Level Transforms on High Level Synthesis for motion detection algorithmConference on Design & Architectures for Signal & Image Processing (DASIP 2012), Oct 2012, Karlsruhe, Germany
Conference papers
hal-01835188v1
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Relaxation markovienne et seuillage par hysteresis pour une detection de mouvement temps reel dans des se- quences couleurISIVC, 2004, Brest, France
Conference papers
hal-01796477v1
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A New Real-Time Embedded Video Denoising AlgorithmDASIP 2019 - The Conference on Design and Architectures for Signal and Image Processing, Oct 2019, Montréal, Canada
Conference papers
hal-02343597v1
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How to speed Connected Component Labeling up with SIMD RLE algorithmsWorkshop on Programming Models for SIMD/Vector Processing (WPMVP@PPoPP), Feb 2020, San Diego, Californie, United States
Conference papers
hal-02492824v1
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A new SIMD iterative connected component labeling algorithmPrinciples and Practice of Parallel Programming / WVMVP, ACM, Mar 2016, Barcelone, Spain. ⟨10.1145/2870650.2870652⟩
Conference papers
hal-01361101v1
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Small SIMD Matrices for CERN High Throughput ComputingWPMVP 2018 Workshop on Programming Models for SIMD/Vector Processing, Feb 2018, Vienna, Austria. ⟨10.1145/3178433.3178434⟩
Conference papers
hal-01760260v1
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What Is the World's Fastest Connected Component Labeling Algorithm?SiPS: IEEE International Workshop on Signal Processing Systems, Oct 2014, Belfast, United Kingdom. pp.6
Conference papers
hal-01094905v1
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Ultra Fast Grey Scale Face Detection Using Vector SIMD Programming3rd International Conference on Signal-Image Technology and Internet-based Systems (SITIS'07), Dec 2007, Shanghai, China. ⟨10.1109/SITIS.2007.142⟩
Conference papers
hal-01222664v1
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Covariance tracking: architecture optimizations for embedded systemsEURASIP Journal on Advances in Signal Processing, 2014, pp.25. ⟨10.1186/1687-6180-2014-175⟩
Journal articles
hal-01094903v1
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High Level Transforms for SIMD and Low-Level Computer Vision AlgorithmsSymposium on Principles and Practice of Parallel Programming / WPMVP, Feb 2014, Orlando, Florida, United States. pp.8, ⟨10.1145/2568058.2568067⟩
Conference papers
hal-01094906v1
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The Numerical Template toolbox: A Modern C++ Design for Scientific ComputingJournal of Parallel and Distributed Computing, 2014, 74 (12), pp. 3240-3253. ⟨10.1016/j.jpdc.2014.07.002⟩
Journal articles
hal-01061305v1
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Energy and Execution Time Comparison of Optical Flow Algorithms on SIMD and GPU ArchitecturesConference on Design and Architectures for Signal and Image Processing (Dasip 2018), Oct 2018, Porto, Portugal
Conference papers
hal-01925886v1
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A new Direct Connected Component Labeling and Analysis Algorithms for GPUs2018 Conference on Design and Architectures for Signal and Image Processing (DASIP), Oct 2018, Porto, Portugal. ⟨10.1109/dasip.2018.8596835⟩
Conference papers
hal-01923784v1
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Implementations Impact on Iterative Image Processing for Embedded GPUEuropean Signal Processing Conference (EUSIPCO), Aug 2021, Dublin, Ireland
Conference papers
hal-03330779v1
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Adéquation des microprocesseurs à la simulation en temps réel des réseaux de neuronesAAA'2000,, 2000, Versailles, Unknown Region
Conference papers
hal-01534433v1
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