Matthieu Cord

Driving on Registers CVPR 2026 MAD: Motion Appearance Decoupling for efficient Driving World Models CVPR 2026 NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering CVPR 2026 Analyzing Finetuning Representation Shift for Multimodal LLMs Steering ICCV 2025 GaussRender: Learning 3D Occupancy with Gaussian Rendering ICCV 2025 Halton Scheduler for Masked Generative Image Transformer ICLR 2025 LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension ICLR 2025 Scaling Laws for Native Multimodal Models ICCV 2025 ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge ICLR 2025 Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting CVPR 2025 A Concept-Based Explainability Framework for Large Multimodal Models NeurIPS 2024 Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning ICLR 2024 DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut NeurIPS 2024 Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs NeurIPS 2024 ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation NeurIPS 2024 PointBeV: A Sparse Approach for BeV Predictions CVPR 2024 Reliability in Semantic Segmentation: Can We Use Synthetic Data? ECCV 2024 UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction ECCV 2024 What matters when building vision-language models? NeurIPS 2024 CoMFormer: Continual Learning in Semantic and Panoptic Segmentation CVPR 2023 Co-Training 2L Submodels for Visual Recognition CVPR 2023 DiffEdit: Diffusion-based semantic image editing with mask guidance ICLR 2023 eP-ALM: Efficient Perceptual Augmentation of Language Models ICCV 2023 Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization ICML 2023 OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents NeurIPS 2023 OCTET: Object-Aware Counterfactual Explanations CVPR 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization ICLR 2023 Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards NeurIPS 2023 REx: Data-Free Residual Quantization Error Expansion NeurIPS 2023 SPIQ: Data-Free Per-Channel Static Input Quantization WACV 2023 Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models ICCV 2023 DeiT III: Revenge of the ViT ECCV 2022 Diverse Weight Averaging for Out-of-Distribution Generalization NeurIPS 2022 DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion CVPR 2022 Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization ICML 2022 FlexIT: Towards Flexible Semantic Image Translation CVPR 2022 LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation CoRL 2022 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance NeurIPS 2022 STEEX: Steering Counterfactual Explanations with Semantics ECCV 2022 Three Things Everyone Should Know about Vision Transformers ECCV 2022 Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering ICCV 2021 DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation ICLR 2021 Going Deeper With Image Transformers ICCV 2021 Grafit: Learning Fine-Grained Image Representations With Coarse Labels ICCV 2021 Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis NeurIPS 2021 MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks ICCV 2021 Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation ICCV 2021 OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning CVPR 2021 PLOP: Learning Without Forgetting for Continual Semantic Segmentation CVPR 2021 RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks NeurIPS 2021 Semantic Palette: Guiding Scene Generation With Class Proportions CVPR 2021 Training data-efficient image transformers & distillation through attention ICML 2021 Learning Representations by Predicting Bags of Visual Words CVPR 2020 PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning ECCV 2020 QuEST: Quantized Embedding Space for Transferring Knowledge ECCV 2020 The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network AAAI 2020 Addressing Failure Prediction by Learning Model Confidence NeurIPS 2019 ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR 2019 BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection AAAI 2019 Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019 DADA: Depth-Aware Domain Adaptation in Semantic Segmentation ICCV 2019 DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild ICCV 2019 DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing ICCV 2019 MUREL: Multimodal Relational Reasoning for Visual Question Answering CVPR 2019 Riemannian batch normalization for SPD neural networks NeurIPS 2019 RUBi: Reducing Unimodal Biases for Visual Question Answering NeurIPS 2019 SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates CVPR 2019 Zero-Shot Semantic Segmentation NeurIPS 2019 Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization CVPR 2018 HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning ECCV 2018 Manifold Learning in Quotient Spaces CVPR 2018 Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection NeurIPS 2018 MUTAN: Multimodal Tucker Fusion for Visual Question Answering ICCV 2017 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation CVPR 2017 Closed-Form Training of Mahalanobis Distance for Supervised Clustering CVPR 2016 WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks CVPR 2016 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015 Fantope Regularization in Metric Learning CVPR 2014 Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis CVPR 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Quadruplet-Wise Image Similarity Learning ICCV 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013