← Authors

Matthieu Cord

80 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🏠 Conference Loyalist (22) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (274) πŸš€ Conference Pioneer ⚑ Prolific Year (12) πŸ”₯ Unstoppable (13) ❓ The Questioner (2) πŸ’Ž Century Club (80)

Conferences

CVPR (22) NIPS (18) ICCV (17) ECCV (8) ICLR (7) ICML (3) AAAI (2) CORL (1) JMLR (1) WACV (1)

Top co-authors

Patrick PΓ©rez (20) Nicolas Thome (17) Arnaud Dapogny (9) Mustafa Shukor (8) Alexandre Rame (8) Eloi Zablocki (7) Corentin Dancette (7) MickaΓ«l Chen (6) Remi Cadene (6) Herve Jegou (6)

Research topics

Analysis (1)

Keywords

semantic segmentation (13) image classification (11) multimodal learning (9) representation learning (8) deep learning (5) unsupervised learning (5) model compression (5) visual question answering (5) metric learning (4) zero-shot learning (4) large language model (4) knowledge distillation (4) feature learning (4) vision transformer (4) self-supervised learning (4) out-of-distribution generalization (3) foundation model (3) transfer learning (3) weakly supervised learning (3) continual learning (3)

Papers

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 SchrΓΆdinger 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