Matthieu Cord

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