Matthieu Cord

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 218

Top Venues

Publications

Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. CoRR (2024)
Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord
A Concept-Based Explainability Framework for Large Multimodal Models. CoRR (2024)
Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh
What matters when building vision-language models? CoRR (2024)
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
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR (2024)
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? ICRA (2024)
Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. CoRR (2024)
Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction. CoRR (2024)
Mustafa Shukor, Matthieu Cord
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs. CoRR (2024)
Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning. ICLR (2024)
Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski
What Makes Multimodal In-Context Learning Work? CoRR (2024)
Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. 2024 (2024)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. 145 (2024)
Hugo Caselles-Dupré, Charles Mellerio, Paul Hérent, Alizée Lopez-Persem, Benoit Béranger, Mathieu Soularue, Pierre Fautrel, Gauthier Vernier, Matthieu Cord
Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI. CoRR (2024)
Asya Grechka, Guillaume Couairon, Matthieu Cord
GradPaint: Gradient-guided inpainting with diffusion models. Comput. Vis. Image Underst. 240 (2024)
Mustafa Shukor, Nicolas Thome, Matthieu Cord
Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. Comput. Vis. Image Underst. 247 (2024)
Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs. CoRR (2024)
Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord
Unified Model for Image, Video, Audio and Language Tasks. CoRR (2023)
Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
OCTET: Object-aware Counterfactual Explanations. CVPR (2023)
Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. CoRR (2023)
Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek
Zero-shot spatial layout conditioning for text-to-image diffusion models. ICCV (2023)
Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
Improving Selective Visual Question Answering by Learning from Your Peers. CoRR (2023)
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
DiffEdit: Diffusion-based semantic image editing with mask guidance. ICLR (2023)
Mustafa Shukor, Corentin Dancette, Matthieu Cord
eP-ALM: Efficient Perceptual Augmentation of Language Models. ICCV (2023)
Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
Improving Selective Visual Question Answering by Learning from Your Peers. CVPR (2023)
Alexandre Ramé, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. NeurIPS (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR (2023)
Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord
PointBeV: A Sparse Approach to BeV Predictions. CoRR (2023)
Mustafa Shukor, Corentin Dancette, Matthieu Cord
eP-ALM: Efficient Perceptual Augmentation of Language Models. CoRR (2023)
Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) (2023)
Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek
Zero-shot spatial layout conditioning for text-to-image diffusion models. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SPIQ: Data-Free Per-Channel Static Input Quantization. WACV (2023)
Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi
Manipulating Trajectory Prediction with Backdoors. CoRR (2023)
Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
REx: Data-Free Residual Quantization Error Expansion. NeurIPS (2023)
Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. Comput. Vis. Image Underst. 227 (2023)
Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR (2023)
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving. CoRR (2023)
Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model. CoRR (2023)
Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
Co-training 2L Submodels for Visual Recognition. CVPR (2023)
Alexandre Ramé, Guillaume Couairon, Mustafa Shukor, Corentin Dancette, Jean-Baptiste Gaya, Laure Soulier, Matthieu Cord
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. CoRR (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR (2023)
Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. NeurIPS (2023)
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML (2023)
Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR (2023)
Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR (2023)
Asya Grechka, Guillaume Couairon, Matthieu Cord
Gradpaint: Gradient-Guided Inpainting with Diffusion Models. CoRR (2023)
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR (2023)
Fabio Cermelli, Matthieu Cord, Arthur Douillard
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CVPR (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Corentin Dancette, Matthieu Cord
Dynamic Query Selection for Fast Visual Perceiver. CoRR (2022)
Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRL (2022)
Fabio Cermelli, Matthieu Cord, Arthur Douillard
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CoRR (2022)
Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) (2022)
Hedi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord
Driving behavior explanation with multi-level fusion. Pattern Recognit. 123 (2022)
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CVPR (2022)
Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
OCTET: Object-aware Counterfactual Explanations. CoRR (2022)
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS (2022)
Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou
Three things everyone should know about Vision Transformers. CoRR (2022)
Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
Towards efficient feature sharing in MIMO architectures. CoRR (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR (2022)
Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord
Raising context awareness in motion forecasting. CVPR Workshops (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR (2022)
Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
Submodels for Visual Recognition. CoRR (2022)
Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord
FlexIT: Towards Flexible Semantic Image Translation. CoRR (2022)
Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges. Int. J. Comput. Vis. 130 (10) (2022)
Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
Towards efficient feature sharing in MIMO architectures. CVPR Workshops (2022)
Mustafa Shukor, Nicolas Thome, Matthieu Cord
Structured Vision-Language Pretraining for Computational Cooking. CoRR (2022)
Mustafa Shukor, Guillaume Couairon, Matthieu Cord
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. BMVC (2022)
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
Recycling diverse models for out-of-distribution generalization. CoRR (2022)
Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. CoRR (2022)
Hugo Touvron, Matthieu Cord, Hervé Jégou
DeiT III: Revenge of the ViT. CoRR (2022)
Guillaume Couairon, Matthijs Douze, Matthieu Cord, Holger Schwenk
Embedding Arithmetic of Multimodal Queries for Image Retrieval. CVPR Workshops (2022)
Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord
FlexIT: Towards Flexible Semantic Image Translation. CVPR (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS (2022)
Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou
Three Things Everyone Should Know About Vision Transformers. ECCV (24) (2022)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Swapping Semantic Contents for Mixing Images. CoRR (2022)
Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR (2022)
Mustafa Shukor, Guillaume Couairon, Matthieu Cord
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. CoRR (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
REx: Data-Free Residual Quantization Error Expansion. CoRR (2022)
Hugo Touvron, Matthieu Cord, Hervé Jégou
DeiT III: Revenge of the ViT. ECCV (24) (2022)
Alexandre Ramé, Corentin Dancette, Matthieu Cord
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. ICML (2022)
Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. CVPR Workshops (2022)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Swapping Semantic Contents for Mixing Images. ICPR (2022)
Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops (2022)
Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRR (2022)
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
DiffEdit: Diffusion-based semantic image editing with mask guidance. CoRR (2022)
Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops (2022)
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
PLOP: Learning Without Forgetting for Continual Semantic Segmentation. CVPR (2021)
Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord
Insights From the Future for Continual Learning. CVPR Workshops (2021)
Asya Grechka, Jean-François Goudou, Matthieu Cord
MAGECally invert images for realistic editing. BMVC (2021)
Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord
Raising context awareness in motion forecasting. CoRR (2021)
Alexandre Ramé, Rémy Sun, Matthieu Cord
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. ICCV (2021)
Alexandre Ramé, Rémy Sun, Matthieu Cord
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. CoRR (2021)
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. CoRR (2021)
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou
Going deeper with Image Transformers. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Matthieu Cord