Giuseppe Valenzise
Présentation
Publications
Publications
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RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian Splatting2026 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2026, Barcelona (ES), Spain |
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LIFT-PCAC: LIFTING BASED POINT CLOUD ATTRIBUTE COMPRESSIONIEEE International Conference on Image Processing, Sep 2025, Anchorage (AK), USA, United States |
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Non-Parametric Media Quality Recovery from Spammer-Affected Subjectively Annotated DatasetsIEEE International Conference on Multimedia and Expo, Jun 2025, Nantes, France |
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Improved RAHT-based Compression of 3D Gaussian SplatsPicture Coding Symposium 2025, Nov 2025, Aachen (Aix la Chapelle), Germany |
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Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-RatesIEEE International Conference on Multimedia and Expo (ICME 2025), Jun 2025, Nantes, France |
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Exploring Compression Strategies for Blendshape-Based Avatar Facial Animation: Subjective and Objective AnalysisIEEE International Conference on Multimedia and Expo, Jun 2025, Nantes (France), France |
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Improving Reconstruction Fidelity in Generative Face Video Coding using High-Frequency ShuttlingIEEE International Conference on Visual Communications and Image Processing (VCIP), Dec 2024, Tokyo, Japan. ⟨10.1109/vcip63160.2024.10849880⟩ |
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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. ⟨10.1109/icassp48485.2024.10446754⟩ |
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Characterizing the Geometric Complexity of G-PCC Compressed Point CloudsIEEE International Conference on Visual Communications and Image Processing (VCIP), Dec 2024, Tokyo (Japan), Japan. ⟨10.1109/vcip63160.2024.10849794⟩ |
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Enhancing Immersive Experiences through 3D Point Cloud Analysis: A Novel Framework for Applying 2D Visual Saliency Models to 3D Point Clouds16th International Conference on Quality of Multimedia Experience (QoMEX 2024), Jun 2024, Karlshamn, Sweden. ⟨10.1109/qomex61742.2024.10598254⟩ |
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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. ⟨10.1109/icassp48485.2024.10448110⟩ |
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A toolkit to benchmark point cloud quality metrics with multi-track evaluation criteria2024 IEEE International Conference on Image Processing (ICIP 2024), IEEE, Oct 2024, ABU DHABI, United Arab Emirates |
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Scalable Point Cloud Coding for Reconstruction and ClassificationInternational Workshop on ADVANCEs in ICT Infrastructures and Services, VNU, UEVE-PARIS-SACLAY, Feb 2024, Hanoi, Vietnam |
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Multi-Reference Generative Face Video Compression with Contrastive LearningIEEE 26th International Workshop on Multimedia Signal Processing (MMSP), IEEE Signal Processing Society, Oct 2024, WEST LAFAYETTE - INDIANA, United States. ⟨10.1109/mmsp61759.2024.10743797⟩ |
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A Toolkit to Benchmark Point Cloud Quality Metrics with Multi-Track Evaluation CriteriaInternational Conference on Image Processing (ICIP’2024), Oct 2024, Abu Dhabi, United Arab Emirates. pp.117-123, ⟨10.1109/ICIP51287.2024.10647510⟩ |
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Improved predictive coding for animation-based video compressionEUVIP, IEEE Signal Processing Society, Sep 2024, GENEVA, Switzerland |
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Compression de Nuages de Points basée sur Normalizing FlowColloque COmpression et REprésentation des Signaux Audiovisuels (CORESA’2024), Nov 2024, Rennes, France |
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Predictive Coding for Animation-Based Video CompressionInternational Conference on Image Processing (ICIP’2023), Oct 2023, Kuala Lumpur (Malaysia), Malaysia. ⟨10.1109/icip49359.2023.10222205⟩ |
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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. pp.1-5, ⟨10.1109/icassp49357.2023.10096610⟩ |
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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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Unified Measures for the Rate-Distortion-Latency Trade-OffIEEE International Conference on Visual Communications and Image Processing, Dec 2023, Jeju island, Republic of Korea, South Korea |
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A Learnable EVC Intra Predictor Using Masked ConvolutionsInternational Conference on Image Analysis and Processing, Nov 2023, Udine, Italy. pp.537-549, ⟨10.1007/978-3-031-43148-7_45⟩ |
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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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Defense Method against Adversarial Attacks Using JPEG Compression and One-Pixel Attack for Improved Dataset Security2023 27th International Conference on System Theory, Control and Computing (ICSTCC), Oct 2023, Timisoara, Romania. pp.523-527, ⟨10.1109/ICSTCC59206.2023.10308520⟩ |
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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⟩ |
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All Predictions Matter: an Online Video Prediction Approach11th European Workshop on Visual Information Processing, Sep 2023, Gjøvik, Norway |
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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⟩ |
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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⟩ |
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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⟩ |
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From capture to immersive viewing of 3D HDR point cloudsEurographics 2022 - The 43rd Annual Conference of the European Association for Computer Graphics, European Association for Computer Graphics, Apr 2022, Reims, France. ⟨10.2312/egt.20221054⟩ |
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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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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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Towards zero-latency video transmission through frame extrapolation29th IEEE International Conference on Image Processing, ICIP 2022, Oct 2022, Bordeaux, France. ⟨10.1109/icip46576.2022.9897958⟩ |
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Vers une transmission vidéo sans latence par l'extrapolation d'imagesGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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A Hybrid Deep Animation Codec for Low-Bitrate Video Conferencing29th IEEE International Conference on Image Processing, ICIP 2022, Oct 2022, Bordeaux, 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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Multiscale deep context modeling for lossless point cloud geometry compressionIEEE International Conference on Multimedia & Expo Workshops (ICMEW), Jul 2021, Shenzhen (virtual), China. ⟨10.1109/ICMEW53276.2021.9455990⟩ |
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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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Voxel-based Deep Point Cloud Geometry CompressionCORESA (COmpression et REprésentation des Signaux Audiovisuels), Nov 2021, Sophia-Antipolis, France |
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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⟩ |
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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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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⟩ |
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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⟩ |
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A Perceptual Study of the Decoding Process of the SoftCast Wireless Video Broadcast Scheme2021 IEEE Workshop on Multimedia Signal Processing (MMSP), Oct 2021, Tampere, Finland. 6 p., ⟨10.1109/MMSP53017.2021.9733474⟩ |
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Learning-based lossless compression of 3d point cloud geometryIEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2021, Toronto, Canada. ⟨10.1109/icassp39728.2021.9414763⟩ |
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Ultra-low bitrate video conferencing using deep image animationICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/icassp39728.2021.9414731⟩ |
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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⟩ |
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Subjective and objective quality assessment of the softcast video transmission schemeInternational Conference on Visual Communications and Image Processing (VCIP 2020), Dec 2020, Macau, China. ⟨10.1109/vcip49819.2020.9301778⟩ |
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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⟩ |
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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⟩ |
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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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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⟩ |
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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⟩ |
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⟩ |
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Potential of Deep Features for Opinion-Unaware, Distortion-Unaware, No-Reference Image Quality AssessmentInternational conférence of Smart Multimedia 2019, Dec 2019, San Diego, CA, United States. pp.87-95, ⟨10.1007/978-3-030-54407-2_8⟩ |
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Analysing the Impact of Cross-Content Pairs on Pairwise Comparison Scaling2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX), Jun 2019, Berlin, Germany. pp.1-6, ⟨10.1109/QoMEX.2019.8743295⟩ |
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Enhancing HEVC Spatial Prediction by Context-based Learning2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), May 2019, Brighton, United Kingdom. pp.4035-4039, ⟨10.1109/icassp.2019.8683624⟩ |
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Using Aesthetics and Action Recognition-based Networks for the Prediction of Media MemorabilityMediaEval 2019 Workshop, Oct 2019, Sophia Antipolis, France |
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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⟩ |
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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⟩ |
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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⟩ |
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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⟩ |
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Quality Assessment of Deep-Learning-Based Image CompressionMultimedia Signal Processing, Aug 2018, Vancouver, Canada. ⟨10.1109/mmsp.2018.8547064⟩ |
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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⟩ |
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Video Quality Evaluation for Tile-Based Spatial Adaptation20th International Workshop on Multimedia Signal Processing (MMSP 2018), Aug 2018, Vancouver, Canada. pp.1-6, ⟨10.1109/MMSP.2018.8547126⟩ |
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The Preferred System Gamma is Primarily Determined by the Ratio of Dynamic Range of the Original Scene and the Displayed ImageHuman Vision and Electronic Imaging Conference, IS&T International Symposium on Electronic Imaging (EI 2018), Jan 2018, San Francisco, United States. ⟨10.2352/issn.2470-1173.2018.14.hvei-508⟩ |
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An adaptive perceptual quantization method for HDR video codingIEEE International Conference on Image Processing (ICIP’2017), Sep 2017, Beijing, China. ⟨10.1109/icip.2017.8296437⟩ |
Statistical Analysis of Residue Signal for Backward Compatible HDR Image Coding25th Signal Processing and Communications Applications Conference (SIU), May 2017, Antalya, Turkey |
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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 |
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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⟩ |
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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⟩ |
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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⟩ |
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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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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⟩ |
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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⟩ |
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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⟩ |
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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Perceived dynamic range of HDR imagesQoMEX 2016, Jun 2016, Lisboa, Portugal. pp.1 - 6, ⟨10.1109/QoMEX.2016.7498953⟩ |
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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 |
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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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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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 |
Detectability-quality trade-off in JPEG counter-forensicsICIP 2014, Feb 2015, Paris, France |
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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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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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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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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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IMPROVED TONE MAPPING OPERATOR FOR HDR CODING OPTIMIZING THE DISTORTION/SPATIAL COMPLEXITY TRADE-OFFEUSIPCO 2014, Sep 2014, Lisbon, Portugal |
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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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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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Dynamic Range Expansion of Video Sequences: a Subjective Quality Assessment StudyGlobalSIP 2014, Dec 2014, Atlanta, United States |
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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 |
Motion prediction of depth video for depth-image-based rendering using don’t care regionsPicture Coding Symposium, May 2012, Cracovie, Poland |
Immersive Video TechnologiesElsevier, 2022, 9780323917551. ⟨10.1016/C2021-0-00404-1⟩ |
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PrefaceImmersive Video Technologies, Elsevier, pp.xvii-xx, 2023, ⟨10.1016/B978-0-32-391755-1.00006-7⟩ |
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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Introduction to Immersive Video TechnologiesImmersive Video Technologies, Academic Press, 2022, 9780323917551. ⟨10.1016/b978-0-32-391755-1.00007-9⟩ |
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⟩ |
Quality of Experience and HDR: concepts and how to measure itHigh Dynamic Range Video - From Acquisition, to Display and Applications, Academic Press, 2016 |
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HDR Image and Video Quality PredictionHigh Dynamic Range Video – From Acquisition, to Display and Applications, Academic Press, 2016 |
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HDR Image and Video Quality PredictionHigh Dynamic Range Video - From Acquisition, to Display and Applications, Academic Press, 2016 |
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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 |
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Depth Video Coding TechnologiesEmerging technologies for 3D video: content creation, coding, transmission and rendering, Wiley, 2013 |
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Depth Video Coding TechnologiesEmerging Technologies for 3D Video: Creation, Coding, Transmission and Rendering, Wiley, 2013 |
Methods and Apparatuses for Encoding and Decoding a Point CloudFrance, Patent n° : European Patent Office application number: 23305352.9. 2023 |
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State Summarization for Binary Voxel Grid CodingUnited States, Patent n° : United States Patent Application No. 63/275,511. 2021 |
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Learning-based Point Cloud Compression via Tearing TransformUnited States, Patent n° : United States Patent Application No. 63/181,270. 2021 |
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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 |
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Outlier Grouping based Point Cloud CompressionUnited States, Patent n° : United States Patent Application No. 63/281,803. 2021 |
[AI-3DGC] NF-PCAC - deep point cloud attribute compression with normalizing flowISO/IEC JTC 1/SC 29/WG7, m61142, 2022 |
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3D coding tools final report2013, pp.89 |
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Livrable D3.4 of the PERSEE project : 2D coding tools final report2013, pp.23 |
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Software description and configuration2013, pp.11 |
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Selected Contributions in Video Compression, Quality of Experience and AnalysisSignal and Image processing. université paris sud, 2019 |