Cord, Matthieu

99 publications

ICCV 2025 Analyzing Finetuning Representation Shift for Multimodal LLMs Steering Pegah Khayatan, Mustafa Shukor, Jayneel Parekh, Arnaud Dapogny, Matthieu Cord

ICCV 2025 GaussRender: Learning 3D Occupancy with Gaussian Rendering Loick Chambon, Eloi Zablocki, Alexandre Boulch, Mickael Chen, Matthieu Cord

ICLR 2025 Halton Scheduler for Masked Generative Image Transformer Victor Besnier, Mickael Chen, David Hurych, Eduardo Valle, Matthieu Cord

TMLR 2025 IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord

NeurIPS 2025 JAFAR: Jack up Any Feature at Any Resolution Paul Couairon, Loick Chambon, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

ICLR 2025 LLM-Wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension Amaia Cardiel, Eloi Zablocki, Elias Ramzi, Oriane Siméoni, Matthieu Cord

NeurIPS 2025 Learning to Steer: Input-Dependent Steering for Multimodal LLMs Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord

CVPRW 2025 OnlyFlow: Optical Flow Based Motion Conditioning for Video Diffusion Models Mathis Koroglu, Hugo Caselles-Dupré, Guillaume Jeanneret, Matthieu Cord

ICCV 2025 Scaling Laws for Native Multimodal Models Mustafa Shukor, Enrico Fini, Victor Guilherme Turrisi da Costa, Matthieu Cord, Joshua Susskind, Alaaeldin El-Nouby

ICLR 2025 ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Perez, Mohamed Elhoseiny

CVPR 2025 Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning and Adaptive Prompting Kaouther Messaoud, Matthieu Cord, Alexandre Alahi

NeurIPS 2024 A Concept-Based Explainability Framework for Large Multimodal Models Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord

NeurIPSW 2024 A Concept-Based Explainability Framework for Large Multimodal Models Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord

ICLR 2024 Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context-Learning Mustafa Shukor, Alexandre Rame, Corentin Dancette, Matthieu Cord

NeurIPS 2024 DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

NeurIPS 2024 Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs Mustafa Shukor, Matthieu Cord

ECCVW 2024 Improved Baselines for Data-Efficient Perceptual Augmentation of LLMs Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek

TMLR 2024 MOCA: Self-Supervised Representation Learning by Predicting Masked Online Codebook Assignments Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Perez

NeurIPS 2024 ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle

NeurIPSW 2024 ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Perez, Eduardo Valle

ICMLW 2024 Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI Hugo Caselles-Dupré, Charles Mellerio, Herent, Alizée Lopez-Persem, Benoît Béranger, Pierre Fautrel, Gauthier Vernier, Matthieu Cord

CVPR 2024 PointBeV: A Sparse Approach for BeV Predictions Loick Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord

ECCVW 2024 ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord

ECCV 2024 Reliability in Semantic Segmentation: Can We Use Synthetic Data? Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord

NeurIPSW 2024 Skipping Computations in Multimodal LLMs Mustafa Shukor, Matthieu Cord

ECCV 2024 UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud, Eloi Zablocki, Matthieu Cord, Alexandre Alahi

ECCVW 2024 Valeo4Cast: A Modular Approach to End-to-End Forecasting Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord

CVPRW 2024 What Makes Multimodal In-Context Learning Work? Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski

NeurIPS 2024 What Matters When Building Vision-Language Models? Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh

CVPR 2023 Co-Training 2l Submodels for Visual Recognition Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou

CVPR 2023 CoMFormer: Continual Learning in Semantic and Panoptic Segmentation Fabio Cermelli, Matthieu Cord, Arthur Douillard

ICLR 2023 DiffEdit: Diffusion-Based Semantic Image Editing with Mask Guidance Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord

ICCVW 2023 DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez

CVPR 2023 Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach

ICML 2023 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz

NeurIPS 2023 OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents Hugo Laurençon, Lucile Saulnier, Leo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander Rush, Douwe Kiela, Matthieu Cord, Victor Sanh

CVPR 2023 OCTET: Object-Aware Counterfactual Explanations Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

ICLR 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

NeurIPS 2023 REx: Data-Free Residual Quantization Error Expansion Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

NeurIPS 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord

ICMLW 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Mustafa Shukor, Jean-Baptiste Gaya, Laure Soulier, Matthieu Cord

ICMLW 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord

WACV 2023 SPIQ: Data-Free Per-Channel Static Input Quantization Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

TMLR 2023 UnIVAL: Unified Model for Image, Video, Audio and Language Tasks Mustafa Shukor, Corentin Dancette, Alexandre Rame, Matthieu Cord

ICCV 2023 Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek

ICCV 2023 eP-ALM: Efficient Perceptual Augmentation of Language Models Mustafa Shukor, Corentin Dancette, Matthieu Cord

CVPRW 2022 CSG0: Continual Urban Scene Generation with Zero Forgetting Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord

ECCV 2022 DeiT III: Revenge of the ViT Hugo Touvron, Matthieu Cord, Hervé Jégou

NeurIPS 2022 Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Rame, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord

CVPR 2022 DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord

CVPRW 2022 Embedding Arithmetic of Multimodal Queries for Image Retrieval Guillaume Couairon, Matthijs Douze, Matthieu Cord, Holger Schwenk

ICML 2022 Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Rame, Corentin Dancette, Matthieu Cord

CVPR 2022 FlexIT: Towards Flexible Semantic Image Translation Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord

CoRL 2022 LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Perez, Matthieu Cord, Karteek Alahari

CVPRW 2022 Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord

CVPRW 2022 Raising Context Awareness in Motion Forecasting Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord

NeurIPS 2022 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

ECCV 2022 STEEX: Steering Counterfactual Explanations with Semantics Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord

ECCV 2022 Three Things Everyone Should Know About Vision Transformers Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou

CVPRW 2022 Towards Efficient Feature Sharing in MIMO Architectures Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord

CVPRW 2022 Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord

ICCV 2021 Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord

ICLR 2021 DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Rame, Matthieu Cord

ICCV 2021 Going Deeper with Image Transformers Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou

ICCV 2021 Grafit: Learning Fine-Grained Image Representations with Coarse Labels Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou

CVPRW 2021 Insights from the Future for Continual Learning Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord

NeurIPS 2021 Look at the Variance! Efficient Black-Box Explanations with Sobol-Based Sensitivity Analysis Thomas Fel, Remi Cadene, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre

ICCV 2021 MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks Alexandre Ramé, Rémy Sun, Matthieu Cord

ICCV 2021 Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

CVPR 2021 OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Perez

CVPR 2021 PLOP: Learning Without Forgetting for Continual Semantic Segmentation Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

NeurIPS 2021 RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

CVPR 2021 Semantic Palette: Guiding Scene Generation with Class Proportions Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Perez, Matthieu Cord

ICML 2021 Training Data-Efficient Image Transformers & Distillation Through Attention Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Herve Jegou

ECCV 2020 PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle

ECCV 2020 QuEST: Quantized Embedding Space for Transferring Knowledge Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord

AAAI 2020 The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network Arnaud Dapogny, Matthieu Cord, Patrick Pérez

NeurIPS 2019 Addressing Failure Prediction by Learning Model Confidence Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez

AAAI 2019 BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord

NeurIPS 2019 RUBi: Reducing Unimodal Biases for Visual Question Answering Remi Cadene, Corentin Dancette, Hedi Ben Younes, Matthieu Cord, Devi Parikh

NeurIPS 2019 Riemannian Batch Normalization for SPD Neural Networks Daniel Brooks, Olivier Schwander, Frederic Barbaresco, Jean-Yves Schneider, Matthieu Cord

NeurIPS 2019 Zero-Shot Semantic Segmentation Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

ECCV 2018 HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning Thomas Robert, Nicolas Thome, Matthieu Cord

NeurIPS 2018 Revisiting Multi-Task Learning with ROCK: A Deep Residual Auxiliary Block for Visual Detection Taylor Mordan, Nicolas Thome, Gilles Henaff, Matthieu Cord

ICCV 2017 MUTAN: Multimodal Tucker Fusion for Visual Question Answering Hedi Ben-younes, Remi Cadene, Matthieu Cord, Nicolas Thome

CVPR 2017 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord

CVPR 2016 Closed-Form Training of Mahalanobis Distance for Supervised Clustering Marc T. Law, YaoLiang Yu, Matthieu Cord, Eric P. Xing

CVPR 2016 WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks Thibaut Durand, Nicolas Thome, Matthieu Cord

CVPRW 2015 Absolute Geo-Localization Thanks to Hidden Markov Model and Exemplar-Based Metric Learning Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche

ICCV 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking Thibaut Durand, Nicolas Thome, Matthieu Cord

CVPR 2014 Fantope Regularization in Metric Learning Marc T. Law, Nicolas Thome, Matthieu Cord

ICLR 2014 Sequentially Generated Instance-Dependent Image Representations for Classification Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari

CVPR 2013 Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis Christian Theriault, Nicolas Thome, Matthieu Cord

MLOSS 2013 JKernelMachines: A Simple Framework for Kernel Machines David Picard, Nicolas Thome, Matthieu Cord

ICCV 2013 Quadruplet-Wise Image Similarity Learning Marc T. Law, Nicolas Thome, Matthieu Cord

NeurIPS 2013 Top-Down Regularization of Deep Belief Networks Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim

ECCV 2012 Hybrid Pooling Fusion in the BoW Pipeline Marc T. Law, Nicolas Thome, Matthieu Cord

ECCVW 2012 Hybrid Pooling Fusion in the BoW Pipeline Marc T. Law, Nicolas Thome, Matthieu Cord

ECCV 2012 Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim