Linear video coding
Conventional and learning-based video compression — codecs, rate–distortion, and the boundary between hand-designed and neural pipelines.
Research
Our work cuts across multimedia signal processing and modern deep learning. Below are the active research themes — each one is a thread that connects multiple PhD theses, industrial collaborations, and publications.
Rich-media scene representation
Representing complex scenes with multiple media, layouts, and interactions — beyond a single video stream.
Multimedia content adaptation
Adapting multimedia content to networks, devices, and users — quality of experience under constraints.
Multimedia distribution networks
Transport, orchestration, and protocols for delivering multimedia at scale.
Frugal and efficient AI
Pruning, quantization, low-rank methods, and other tools to make deep models small enough to deploy.
Geometric deep learning
Learning on graphs, manifolds, and structured domains — where the geometry of the data shapes the architecture.
Multimodal learning
Joint models for vision, language, and beyond — alignment, fusion, and grounded reasoning.
Publications
Selected publications from the Multimedia team. The list is generated from a single BibTeX file — drop new entries into data/publications.bib and rebuild.
The full bibliography can be downloaded as a single BibTeX file: publications.bib.
2026
- AracNet: Revealing Debiasing Signals across Layers with Shallow MonitorsEuropean Conference on Computer Vision (ECCV), Oct 2026
- Look But Don't Touch with Sparse Autoencoders for Unlearning in Diffusion ModelsEuropean Conference on Computer Vision (ECCV), Oct 2026
- Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMsEuropean Conference on Computer Vision (ECCV), Oct 2026
- From Deep to Shallow: Unconstrained and Efficient Layer Merging StrategyEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) — Workshop, Sep 2026
- THE SILENCE OF THE WEIGHTS: AN INVESTIGATION OF STRUCTURAL PRUNING STRATEGIES FOR ATTENTION-BASED AUDIO SIGNAL ARCHITECTURESInterspeech, Sep 2026
- CutClean: Neural Network Pruning for Privacy-Preserving InferenceInternational Conference on Pattern Recognition (ICPR), Aug 2026
- Consistent Soundscape Connectomes via Stability-Refined Graph LearningInternational Joint Conference on Neural Networks (IJCNN), part of the IEEE World Congress on Computational Intelligence (WCCI), Jul 2026
- Feature-aware (Hyper)graph Generation via Next-Scale PredictionInternational Conference on Machine Learning (ICML), Jul 2026
- SpatioTemporal Imputation with Graph-Informed Flow MatchingInternational Conference on Machine Learning (ICML), Jul 2026
- Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla ModelsIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
- Explaining CLIP Zero-shot Predictions Through ConceptsIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
- FINER: MLLMs Hallucinate under Fine-grained Negative QueriesIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
- Efficient Resource-Constrained Training of Vision Transformers via Subspace OptimizationInternational Conference on Learning Representations (ICLR), May 2026
- INSTANT: Compressing Gradients and Activations for Resource-Efficient Training of Transformer modelsInternational Conference on Learning Representations (ICLR), May 2026
- Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to ModelsInternational Conference on Learning Representations (ICLR), May 2026
- RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian SplattingProc. 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2026
- Study of Training Dynamics for Memory-Constrained Fine-TuningInternational Conference on Learning Representations (ICLR), May 2026
- Generalization Bounds for Spectral GNNs via Fourier Domain AnalysisInternational Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2026
- HFMCA: ORTHONORMAL FEATURE LEARNING FOR EEG-BASED BRAIN DECODING' to the ICASSP 2026 online submission systemIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2026
- INSTANT: COMPRESSING GRADIENTS AND ACTIVATIONS FOR RESOURCE-EFFICIENT TRAININGThe Fourteenth International Conference on Learning Representations, Apr 2026
- Capsule networks do not need to model everythingPattern Recognition, Mar 2026
- Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future DirectionsIEEE Transactions on Circuits and Systems for Video Technology, Mar 2026
- I-INR: Iterative Implicit Neural RepresentationsAAAI Conference on Artificial Intelligence (AAAI), Feb 2026
- How I Met Your Bias: Investigating Bias Amplification in Diffusion ModelsIEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2026
- CALICE: Continous bitrate control with Adapted LIC modElACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), 2026
- Distilling Learned Image Compression Models: An Analytical Approach for Low-Latency FPGA DeploymentIEEE Transactions on Multimedia (IEEE TMM), 2026
- Layer Collapse Can be Induced by Unstructured PruningTransactions on Machine Learning Research (TMLR), 2026
- Physics-Guided Machine Learning for Acoustic Mode Reconstruction in the Seabed Characterization ExperimentsPOMA, 2026
- Security and Real-Time FPGA Integration for Learned Image CompressionIEEE Transactions on Multimedia (IEEE TMM), 2026
- TRAIL: Navigating the Jungle of Machine Unlearning EvaluatioECCVW, 2026
- WildIng: A Wildlife Image Invariant Representation Model for Geographical Domain ShiftInternational Journal of Computer Vision (IJCV), 2026
2025
- Concept-Guided Interpretability via Neural ChunkingConference on Neural Information Processing Systems (NeurIPS), Dec 2025
- Continuous Simplicial Neural NetworksConference on Neural Information Processing Systems (NeurIPS), Dec 2025
- Diffusing DeBias: Synthetic Bias Amplification for Model DebiasingConference on Neural Information Processing Systems (NeurIPS), Dec 2025
- LoFT: LoRA-fused Training Dataset Generation with Few-shot GuidanceBritish Machine Vision Conference (BMVC), Nov 2025
- TEP-ones: A simple yet effective approach for transferability estimation of pruned backbonesNeurocomputing, Nov 2025
- Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question AnsweringICCV 2025 - International Conference on Computer Vision, Oct 2025
- FOLDER: Accelerating Multi-modal Large Language Models with Enhanced PerformanceIEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
- LaCoOT: Layer Collapse through Optimal TransportIEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
- SUB: Benchmarking CBM Generalization via Synthetic Attribute SubstitutionsIEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
- Semi-supervised graph learning for underwater source localization using ship-of-opportunity spectrogramsJournal of the Acoustical Society of America, Sep 2025
- Subgraph Gaussian Embedding Contrast for Self-supervised Graph Representation LearningLecture Notes in Computer Science, Sep 2025
- Enhancing Plasticity for First Session Adaptation Continual LearningConference on Lifelong Learning Agents (CoLLAs), Aug 2025
- Graph Neural Networks for Moving Objects Detection in VideosPattern Recognition and Computer Vision in the New AI Era, Aug 2025
- Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device LearningForty-second International Conference on Machine Learning, Jul 2025
- A Transductive and Inductive GNNs for Physical Moving Objects Detection in Surface Scenes for Digital TwinsDigital Twins and Simulation Technology, Jun 2025
- COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-trainingIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025
- Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-RatesProceedings of ICME 2025, Jun 2025
- FLAIR: VLM with Fine-grained Language-informed Image RepresentationsIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025
- Neural Velocity for hyperparameter tuning2025 International Joint Conference on Neural Networks (IJCNN), Jun 2025
- Efficient adaptation of deep neural networks for semantic segmentation in space applicationsScientific Reports, May 2025
- Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)International Conference on Learning Representations (ICLR), May 2025
- Piecewise Constant Spectral Graph Neural NetworkTransactions on Machine Learning Research Journal, Apr 2025
- A Fused Gromov-Wasserstein Approach to Subgraph Contrastive LearningTransactions on Machine Learning Research Journal, Feb 2025
- CATALOG: A Camera Trap Language-guided Contrastive Learning Model2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb 2025
- ELMGS: Enhancing Memory and Computation Scalability Through coMpression for 3D Gaussian Splatting2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb 2025
- Efficient Progressive Image Compression with Variance-Aware Masking2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb 2025
- Graph-based Moving Object Segmentation for underwater videos using semi-supervised learningComputer Vision and Image Understanding, Feb 2025
- HYGENE: A Diffusion-Based Hypergraph Generation MethodProceedings of the AAAI Conference on Artificial Intelligence, Feb 2025
- LayerFold: A Python library to reduce the depth of neural networksSoftwareX, Feb 2025
- Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.Proceedings of the AAAI Conference on Artificial Intelligence : AAAI Technical Track on Machine Learning IV, Feb 2025
- WiGNet: Windowed Vision Graph Neural Network2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb 2025
- STanH : Parametric Quantization for Variable Rate Learned Image CompressionIEEE Transactions on Image Processing, Jan 2025
- Say My Name: a Model's Bias Discovery FrameworkTransactions on Machine Learning Research (TMLR), 2025
2024
- ALICE: Adapt your Learnable Image Compression modEl for variable bitrates2024 IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec 2024
- Activation Map Compression through Tensor Decomposition for Deep LearningNeurIPS 2024 : The 38th Annual Conference on Neural Information Processing Systems, Dec 2024
- Continuous Product Graph Neural NetworksNeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024
- OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based CamerasLecture Notes in Computer Science, Dec 2024
- Unsupervised Learning of Unbiased Visual RepresentationsIEEE Transactions on Artificial Intelligence, Dec 2024
- Variational Graph Contrastive LearningNeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice, Dec 2024
- WaterMAS: sharpness-aware maximization for neural network watermarkingThe 27th International Conference on Pattern Recognition (ICPR), Dec 2024
- Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural NetworksIEEE Transactions on Signal and Information Processing over Networks, Nov 2024
- Trimming the Fat: Efficient Compression of 3D Gaussian Splats through PruningBritish Machine Vision Conference 2024, Nov 2024
- Gabic: Graph-Based Attention Block for Image Compression2024 IEEE International Conference on Image Processing (ICIP), Oct 2024
- Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient RenderingThe 18th European Conference on Computer Vision ECCV 2024, Sep 2024
- Debiasing Surgeon: Fantastic Weights and How to Find ThemThe 18th European Conference on Computer Vision ECCV 2024, Sep 2024
- From Model Complexity Reduction to Feature Selection in Deep Learning: a Regularization StoryInstitut Polytechnique de Paris, Sep 2024
- Memory-Optimized Once-For-All NetworkComputer Vision – ECCV 2024 WorkshopsMilan, Italy, September 29–October 4, 2024, Proceedings, Part XI, Sep 2024
- Privacy-Preserving Adaptive Re-Identification without Image Transfer18th European Conference on Computer Vision ECCV 2024, Sep 2024
- The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks' DepthJoint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024
- Towards Efficient Exploitation of Large Knowledge Bases by Context GraphsSEMANTICS 2024, Sep 2024
- Weighted Ensemble Models Are Strong Continual Learners18th European Conference on Computer Vision ECCV 2024, Sep 2024
- Gegenbauer Graph Neural Networks for Time-Varying Signal ReconstructionIEEE Transactions on Neural Networks and Learning Systems, Apr 2024
- Domain Adaptation for Learned Image Compression with Supervised Adapters2024 Data Compression Conference (DCC), Mar 2024
- Estimation of a causal directed acyclic graph process using non-gaussianityDigital Signal Processing, Mar 2024
- Find the lady: permutation and re-synchronization of deep neural networksThe 38th Annual AAAI Conference on Artificial Intelligence(AAAI), Feb 2024
- Mini but Mighty: Finetuning ViTs with Mini Adapters2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024
- Source-Guided Similarity Preservation for Online Person Re-Identification2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024
- Towards On-Device Learning on the Edge: Ways to Select Neurons to Update Under a Budget Constraint2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Jan 2024
2023
- Unified Measures for the Rate-Distortion-Latency Trade-OffProceedings of the 2023 IEEE International Conference on Visual Communications and Image Processing, Dec 2023
- Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2023
- Disentangling private classes through regularizationNeurocomputing, Oct 2023
- Dodging the Double Descent in Deep Neural Networks2023 IEEE International Conference on Image Processing (ICIP), Oct 2023
- Few Labels are Enough! Semi-Supervised Graph Learning for Social InteractionProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2023
- Inductive Graph Neural Networks for Moving Object Segmentation2023 IEEE International Conference on Image Processing (ICIP), Oct 2023
- Mining bias-target Alignment from Voronoi CellsProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2023
- On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural NetworksCIKM 2023 - The 32nd ACM International Conference on Information and Knowledge Management, Oct 2023
- SCoTTi: Save Computation at Training Time with an adaptive framework2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2023
- Shannon Strikes Again! Entropy-Based Pruning in Deep Neural Networks for Transfer Learning Under Extreme Memory and Computation BudgetsProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2023
- A Differentiable Entropy Model for Learned Image CompressionInternational Conference on Image Analysis and Processing – ICIAP 2023, Sep 2023
- A hitchhiker's guide to white-box neural network watermarking robustnessEUVIP 2023 : The 11th European Workshop on Visual Information Processing, Sep 2023
- All Predictions Matter: an Online Video Prediction Approach11th European Workshop on Visual Information Processing, Sep 2023
- Sparse Double Descent in Vision Transformers: Real or Phantom Threat?Image Analysis and Processing – ICIAP 2023, Sep 2023
- Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF EnsembleImage Analysis and Processing – ICIAP 2023, Sep 2023
- Uncertainty clustering internal validity assessment using Fr\'echet distance for unsupervised learningEngineering Applications of Artificial Intelligence, Sep 2023
- AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results2023 IEEE Statistical Signal Processing Workshop (SSP), Jul 2023
- Learn How to Prune Pixels for Multi-View Neural Image-Based Synthesis2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Brisbane, Australia, 2023, pp. 158-163, Jul 2023
- Optimized preprocessing and Tiny ML for Attention State Classification2023 IEEE Statistical Signal Processing Workshop (SSP), Jul 2023
- Higher-order Sparse Convolutions in Graph Neural NetworksICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2023
- Time-varying Signals Recovery via Graph Neural NetworksICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023
- Packed-Ensembles for Efficient Uncertainty Estimation11th International Conference on Learning Representations, May 2023
- Unbiased Supervised Contrastive LearningICLR, May 2023
- Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic strokeFrontiers in Neuroinformatics, Mar 2023
- Compressing Explicit Voxel Grid Representations: fast NeRFs become also small2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2023
2022
- Information Removal at the bottleneck in Deep Neural Networks33rd British Machine Vision Conference 2022, \BMVC\ 2022, London, UK, November 21-24, 2022, Nov 2022
- To update or not to update? Neurons at equilibrium in deep models36th Conference on Neural Information Processing Systems (NeurIPS 2022), Nov 2022
- End-to-End Delivery of VVC Multicast Services over 5G Mobile NetworkInternational Conference on Image Processing, Oct 2022
- Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation2022 IEEE International Conference on Image Processing (ICIP), Oct 2022
- THE RISE OF THE LOTTERY HEROES: WHY ZERO-SHOT PRUNING IS HARDIEEE International Conference on Image Processing (ICIP 22), Oct 2022
- A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray ImagesImage Analysis and Processing – ICIAP 2022 : 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I, May 2022
- LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networksNeural Networks, Feb 2022
2021
- Versatile Video Coding for 3.0 Next Generation Digital TV in BrazilSET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING, Dec 2021
- A Complete End to End Open Source Toolchain for the Versatile Video Coding (VVC) StandardMM '21: ACM Multimedia Conference, Oct 2021
- A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group InteractionsCompanion Publication of the 2021 International Conference on Multimodal Interaction, Oct 2021
- Bridging the gap between debiasing and privacy for deep learning2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021
- HEMP: High-order entropy minimization for neural network compressionNeurocomputing, Oct 2021
- Annotations s\'emantiques de textes li\'es \`a l'h\'eritage culturel fran\c caisEGC-DAHLIA, 2021
- Data\&Mus\'ee : de nouveaux usages s\'emantiques du big data culturel en FranceHistoire de l'art, 2021