Frédéric Dufaux
84
Documents
Présentation
Dr. Frederic Dufaux is a CNRS Research Director at Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S, UMR 8506), where he is head of the Telecom and Networking hub. He is a Fellow of IEEE.
Frederic received the M.Sc. in physics and Ph.D. in electrical engineering from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1990 and 1994 respectively.
He has over 20 years of experience in research, previously holding positions at EPFL, Emitall Surveillance, Genimedia, Compaq, Digital Equipment, and MIT. He was also Editor-in-Chief of Signal Processing: Image Communication from 2010 until 2019.
Frederic served as Chair of the IEEE SPS Multimedia Signal Processing (MMSP) Technical Committee in 2018 and 2019. He is a member of the IEEE SPS Technical Directions Board. He was Vice General Chair of ICIP 2014, General Chair of MMSP 2018, and Technical Program co-Chair of ICIP 2019. He will be Technical Program co-Chair of ICIP 2021. He is also a founding member and the Chair of the EURASIP Technical Area Committee on Visual Information Processing.
He has been involved in the standardization of digital video and imaging technologies for more than 15 years, participating both in the MPEG and JPEG committees. He was co-chairman of JPEG 2000 over wireless (JPWL) and co-chairman of JPSearch. He is the recipient of two ISO awards for these contributions.
His research interests include image and video coding, 3D video, high dynamic range imaging, visual quality assessment, video surveillance, privacy protection, image and video analysis, multimedia content search and retrieval, video transmission over wireless network. He is author or co-author of 3 books, more than 200 research publications (h-index=44, 8000+ citations) and 20 patents issued or pending.
Publications
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Balancing Representation Abstractions and Local Details Preservation for 3D Point Cloud Quality AssessmentInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), IEEE, Apr 2024, Séoul, South Korea
Communication dans un congrès
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Reducing the complexity of normalizing flow architectures for point cloud attribute compressionInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), IEEE, Apr 2024, Seoul, South Korea
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A Novel No-Reference Point Clouds Quality Metric using Transformer Similar ArchitectureGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
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NF-PCAC: Normalizing Flow based Point Cloud Attribute CompressionICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Jun 2023, Rhodes Island, Greece. ⟨10.1109/icassp49357.2023.10096294⟩
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PCQA-Graphpoint: Efficient Deep-Based Graph Metric for Point Cloud Quality AssessmentICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Jun 2023, Rhodes Island, Greece. ⟨10.1109/icassp49357.2023.10096610⟩
Communication dans un congrès
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Multi-modal Evaluation of 3D Point Clouds Images: A Novel No-Reference Approach using a Multi-Stream Attentive Architecture2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. ⟨10.23919/eusipco58844.2023.10290034⟩
Communication dans un congrès
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Optimisation de l’apprentissage des représentations pour l’évaluation de la qualité des nuages de points 3D sans référenceGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France
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Learning-based 3D point cloud quality assessment using a support vector regressorImage Quality and System Performance, IS&T International Symposium on Electronic Imaging (EI 2022), Jan 2022, San Francisco, United States. ⟨10.2352/EI.2022.34.9.IQSP-385⟩
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Point cloud quality assessment using cross-correlation of deep features2nd Workshop on Quality of Experience in Visual Multimedia Applications (ACMMM QoEVMA 2022), ACM Multimedia, Oct 2022, Lisbon, Portugal. ⟨10.1145/3552469.3555710⟩
Communication dans un congrès
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Representation Learning Optimization for 3D Point Cloud Quality Assessment without Reference29th IEEE International Conference on Image Processing, ICIP 2022, Oct 2022, Bordeaux, France. ⟨10.1109/icip46576.2022.9897689⟩
Communication dans un congrès
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Towards an Image Utility Assessment Framework for Machine PerceptionEuropean Signal Processing Conference (EUSIPCO 2022), Aug 2022, Belgrade, Serbia. ⟨10.23919/eusipco55093.2022.9909664⟩
Communication dans un congrès
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Deep learning-based blind quality assessment of 3D point clouds without referenceIEEE International Conference on Multimedia & Expo Workshops (ICMEW), Jul 2021, Shenzhen (virtual), China. pp.1-6, ⟨10.1109/ICMEW53276.2021.9455967⟩
Communication dans un congrès
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Convolutional Neural Network for 3D Point Cloud Quality Assessment with ReferenceIEEE International Workshop on Multimedia Signal Processing (MMSP'2021), Oct 2021, Tampere, Finland. pp.1-6, ⟨10.1109/MMSP53017.2021.9733565⟩
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Combination of Deep Learning-based and Handcrafted Features for Blind Image Quality Assessment9th European Workshop on Visual Information Processing (EUVIP 2021), Jun 2021, Paris (virtual), France. pp.1-6, ⟨10.1109/EUVIP50544.2021.9484013⟩
Communication dans un congrès
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Voxel-based Deep Point Cloud Geometry CompressionCORESA (COmpression et REprésentation des Signaux Audiovisuels), Nov 2021, Sophia-Antipolis, France
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A deep perceptual metric for 3D point cloudsImage Quality and System Performance, IS&T International Symposium on Electronic Imaging (EI 2021), Jan 2021, San Francisco, United States. pp.257-1-257-7, ⟨10.2352/ISSN.2470-1173.2021.9.IQSP-257⟩
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Learning-based lossless light field compressionIEEE International Workshop on Multimedia Signal Processing (MMSP'2021), Oct 2021, Tampere, Finland. pp.1-6, ⟨10.1109/MMSP53017.2021.9733637⟩
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A Deep Point Cloud Geometry Coding ToolboxIEEE International Conference on Multimedia & Expo Workshops (ICMEW), Jul 2021, Shenzhen, China. pp.1-2, ⟨10.1109/ICMEW53276.2021.9455986⟩
Communication dans un congrès
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Hybrid Learning-based and HEVC-based Coding of Light FieldsIEEE International Conference on Image Processing (ICIP’2020), Oct 2020, Abu Dhabi, United Arab Emirates. pp.3344-3348, ⟨10.1109/ICIP40778.2020.9190971⟩
Communication dans un congrès
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Folding-based Compression of Point Cloud AttributesIEEE International Conference on Image Processing (ICIP’2020), Oct 2020, Abu Dhabi, United Arab Emirates. pp.3309-3313, ⟨10.1109/ICIP40778.2020.9191180⟩
Communication dans un congrès
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An Experimental Method to Determine Quantization Levels for High Luminance Patterns28th Signal Processing and Communications Applications Conference (SIU), Oct 2020, Gaziantep, Turkey. pp.1-4, ⟨10.1109/SIU49456.2020.9302435⟩
Communication dans un congrès
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EVA: An Explainable Visual Aesthetics DatasetJoint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends (ATQAM/MAST’20), ACM Multimedia, Oct 2020, Seattle, United States. pp.5-13, ⟨10.1145/3423268.3423590⟩
Communication dans un congrès
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Improved Deep Point Cloud Geometry CompressionIEEE International Workshop on Multimedia Signal Processing (MMSP'2020), Sep 2020, Tampere, Finland. pp.1-6, ⟨10.1109/MMSP48831.2020.9287077⟩
Communication dans un congrès
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View Synthesis-based Distributed Light Field CompressionIEEE International Conference on Multimedia & Expo Workshops (ICMEW), Jul 2020, London, United Kingdom. ⟨10.1109/ICMEW46912.2020.9105980⟩
Communication dans un congrès
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Just Noticeable Quantization Levels for High Dynamic Range ImagesIEEE International Conference on Image Processing (ICIP’2020), Oct 2020, Abu Dhabi, United Arab Emirates. pp.1201-1205, ⟨10.1109/ICIP40778.2020.9190931⟩
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Predicting Subjectivity in Image Aesthetics Assessment21st International Workshop on Multimedia Signal Processing (MMSP'2019), Sep 2019, Kuala Lumpur, Malaysia. pp.1-6, ⟨10.1109/MMSP.2019.8901716⟩
Communication dans un congrès
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Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression26th IEEE International Conference on Image Processing (ICIP 2019), Sep 2019, Taipei, Taiwan. pp.4320-4324, ⟨10.1109/ICIP.2019.8803413⟩
Communication dans un congrès
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Using Aesthetics and Action Recognition-based Networks for the Prediction of Media MemorabilityMediaEval 2019 Workshop, Oct 2019, Sophia Antipolis, France
Communication dans un congrès
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Perceived dynamic range of HDR images with no semantic informationHuman Vision and Electronic Imaging Conference, IS&T International Symposium on Electronic Imaging (EI 2018), Jan 2018, Burlingame, United States. pp.1-6, ⟨10.2352/ISSN.2470-1173.2018.14.HVEI-507⟩
Communication dans un congrès
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The relation between MOS and pairwise comparisons and the importance of cross-content comparisonsHuman Vision and Electronic Imaging Conference, IS&T International Symposium on Electronic Imaging (EI 2018), Jan 2018, Burlingame, United States. pp.1-6, ⟨10.2352/ISSN.2470-1173.2018.14.HVEI-517⟩
Communication dans un congrès
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Learning Local Distortion Visibility from Image QualityIEEE International Conference on Image Processing (ICIP’2018), Oct 2018, Athens, Greece. ⟨10.1109/icip.2018.8451732⟩
Communication dans un congrès
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Quality of Experience in UHD-1 Phase 2 television: the contribution of UHD+HFR technology19th International Workshop on Multimedia Signal Processing (MMSP), Oct 2017, London-Luton, United Kingdom. ⟨10.1109/mmsp.2017.8122238⟩
Communication dans un congrès
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Statistical Analysis and Directional Coding of Layer-based HDR Image Coding Residue19th International Workshop on Multimedia Signal Processing (MMSP), Oct 2017, London-Luton, United Kingdom. ⟨10.1109/mmsp.2017.8122244⟩
Communication dans un congrès
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Robust dynamic range computation for high dynamic range contentHuman Vision and Electronic Imaging Conference, IS&T International Symposium on Electronic Imaging (EI 2017), Jan 2017, Burlingame, United States
Communication dans un congrès
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Effect of Color Space on High Dynamic Range Video Compression PerformanceNinth International Conference on Quality of Multimedia Experience (QoMEX), May 2017, Erfurt, Germany. ⟨10.1109/qomex.2017.7965632⟩
Communication dans un congrès
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Statistical Analysis of Residue Signal for Backward Compatible HDR Image Coding25th Signal Processing and Communications Applications Conference (SIU), May 2017, Antalya, Turkey
Communication dans un congrès
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Learning-Based Tone Mapping Operator for Image MatchingIEEE International Conference on Image Processing (ICIP’2017), IEEE, Sep 2017, Beijing, China. pp.2374-2378, ⟨10.1109/ICIP.2017.8296707⟩
Communication dans un congrès
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Learning-based Adaptive Tone Mapping for Keypoint DetectionIEEE International Conference on Multimedia & Expo (ICME’2017), Jul 2017, Hong Kong, Hong Kong SAR China. ⟨10.1109/icme.2017.8019394⟩
Communication dans un congrès
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Good Features to Track for RGBD imagesThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. ⟨10.1109/icassp.2017.7952473⟩
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Keypoint detection in RGBD images based on an efficient viewpoint-covariant multiscale representationEuropean Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary
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HDR Video Coding based on a Temporally Constrained Tone Mapping Operator,IEEE Digital Media Industry and Academic Forum, Jul 2016, Santorini, Greece
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Perceived dynamic range of HDR imagesQoMEX 2016, Jun 2016, Lisboa, Portugal. pp.1 - 6, ⟨10.1109/QoMEX.2016.7498953⟩
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Using region-of-interest for quality evaluation of DIBR-based view synthesis methods2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX), Jun 2016, Lisbon, Portugal. pp.1-6, ⟨10.1109/QoMEX.2016.7498950⟩
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A dual modulation algorithm for accurate reproduction of high dynamic range video12th IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2016), Jul 2016, Bordeaux, France. ⟨10.1109/IVMSPW.2016.7528226⟩
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An Evaluation of HDR Image Matching under Extreme Illumination ChangesThe International Conference on Visual Communications and Image Processing (VCIP), Nov 2016, Chengdu, China
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An image smoothing operator for fast and accurate scale space approximationIEEE International Conference on Acoustics, Speech, and Signal Processing, Mar 2016, Shanghai, China
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Optimizing Tone Mapping Operators for Keypoint Detection under Illumination Changes2016 IEEE Workshop on Multimedia Signal Processing (MMSP 2016), Sep 2016, Montreal, Canada
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Forensic Detection of Inverse Tone Mapping in HDR imagesIEEE International Conference on Image Processing (ICIP’2016), Sep 2016, Phoenix, United States
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Improving distinctiveness of BRISK features using depth mapsIEEE International Conference on Image Processing, Sep 2015, Québec city, Canada. ⟨10.1109/ICIP.2015.7351232⟩
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Effects of display rendering on HDR image quality assessmentSPIE Optical Engineering+ Applications, Applications of Digital Image Processing XXXVIII, Aug 2015, San Diego, CA, United States
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A scale space for texture+depth images based on a discrete Laplacian operatorIEEE International Conference on Multimedia and Expo, Jun 2015, Turin, Italy. ⟨10.1109/ICME.2015.7177500⟩
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Evaluation of Feature Detection in HDR Based Imaging Under Changes in Illumination ConditionsIEEE International Symposium on Multimedia (ISM) , Dec 2015, Paris, France. ⟨10.1109/ISM.2015.58⟩
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Dynamic Range Expansion of Video Sequences: a Subjective Quality Assessment StudyGlobalSIP 2014, Dec 2014, Atlanta, United States
Communication dans un congrès
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Performance evaluation of objective quality metrics for HDR image compressionApplications of Digital Image Processing XXXVII, SPIE, Aug 2014, San Diego, United States
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LOCAL VISUAL FEATURES EXTRACTION FROM TEXTURE+DEPTH CONTENT BASED ON DEPTH IMAGE ANALYSISICIP 2014, Oct 2014, Paris, France
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IMPROVED TONE MAPPING OPERATOR FOR HDR CODING OPTIMIZING THE DISTORTION/SPATIAL COMPLEXITY TRADE-OFFEUSIPCO 2014, Sep 2014, Lisbon, Portugal
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REGION-BASED TONE MAPPING FOR EFFICIENT HIGH DYNAMIC RANGE VIDEO CODING4th European Workshop on Visual Information Processing (EUVIP), Jun 2013, France. pp.208
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Segmentation-based optimized tone mapping for high dynamic range image and video codingPCS 2013 (30th Picture Coding Symposium), Dec 2013, San Jose, United States. pp.257-260
Communication dans un congrès
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Compression of light fieldsImmersive Video Technologies, Elsevier, 2022, 978-0-323-91755-1. ⟨10.1016/b978-0-32-391755-1.00014-6⟩
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Point cloud compressionImmersive Video Technologies, Elsevier, 2022, 978-0-323-91755-1. ⟨10.1016/B978-0-32-391755-1.00019-5⟩
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Advances and challenges in computational image aestheticsHuman Perception of Visual Information: Psychological and Computational Perspectives, Springer, pp.133-181, 2022, 978-3-030-81464-9. ⟨10.1007/978-3-030-81465-6_6⟩
Chapitre d'ouvrage
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HDR Image and Video Quality PredictionHigh Dynamic Range Video – From Acquisition, to Display and Applications, Academic Press, 2016
Chapitre d'ouvrage
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Quality of Experience and HDR: concepts and how to measure itHigh Dynamic Range Video - From Acquisition, to Display and Applications, Academic Press, 2016
Chapitre d'ouvrage
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Quality of Experience and HDR: concepts and how to measure itHigh Dynamic Range Video: From Acquisition, to Display and Applications, Academic Press, 2016, 978-0081004128
Chapitre d'ouvrage
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HDR Image and Video Quality PredictionHigh Dynamic Range Video - From Acquisition, to Display and Applications, Academic Press, 2016
Chapitre d'ouvrage
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Depth Video Coding TechnologiesEmerging technologies for 3D video: content creation, coding, transmission and rendering, Wiley, 2013
Chapitre d'ouvrage
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Depth Video Coding TechnologiesEmerging Technologies for 3D Video: Creation, Coding, Transmission and Rendering, Wiley, 2013
Chapitre d'ouvrage
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Methods and Apparatuses for Encoding and Decoding a Point CloudFrance, Patent n° : European Patent Office application number: 23305352.9. 2023
Brevet
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Learning-based PCC via Unfolding of 3D Point CloudsUnited States, Patent n° : United States Patent Application No. 63/213,654. 2021
Brevet
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Learning-based Point Cloud Compression via Tearing TransformUnited States, Patent n° : United States Patent Application No. 63/181,270. 2021
Brevet
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State Summarization for Binary Voxel Grid CodingUnited States, Patent n° : United States Patent Application No. 63/275,511. 2021
Brevet
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Outlier Grouping based Point Cloud CompressionUnited States, Patent n° : United States Patent Application No. 63/281,803. 2021
Brevet
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[AI-3DGC] NF-PCAC - deep point cloud attribute compression with normalizing flowISO/IEC JTC 1/SC 29/WG7, m61142, 2022
Autre publication scientifique
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