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Matthieu Cord
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2020 – today
- 2024
- [j48]Asya Grechka, Guillaume Couairon, Matthieu Cord:
GradPaint: Gradient-guided inpainting with diffusion models. Comput. Vis. Image Underst. 240: 103928 (2024) - [j47]Rémy Sun
, Clément Masson
, Gilles Hénaff, Nicolas Thome
, Matthieu Cord:
Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. 145: 109909 (2024) - [j46]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) - [c166]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 - [c165]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: 18428-18435 - [i112]Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek:
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs. CoRR abs/2403.13499 (2024) - [i111]Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi:
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction. CoRR abs/2403.15098 (2024) - [i110]Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord:
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. CoRR abs/2403.20105 (2024) - [i109]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 abs/2404.05468 (2024) - [i108]Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski:
What Makes Multimodal In-Context Learning Work? CoRR abs/2404.15736 (2024) - [i107]Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh:
What matters when building vision-language models? CoRR abs/2405.02246 (2024) - [i106]Mustafa Shukor, Matthieu Cord:
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs. CoRR abs/2405.16700 (2024) - [i105]Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome:
Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. CoRR abs/2406.02842 (2024) - [i104]Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord:
A Concept-Based Explainability Framework for Large Multimodal Models. CoRR abs/2406.08074 (2024) - [i103]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 abs/2406.08113 (2024) - 2023
- [j45]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: 103601 (2023) - [j44]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): 3664-3676 (2023) - [j43]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): 5314-5321 (2023) - [j42]Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord:
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks. Trans. Mach. Learn. Res. 2023 (2023) - [c164]Fabio Cermelli, Matthieu Cord, Arthur Douillard:
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CVPR 2023: 3010-3020 - [c163]Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou:
Co-training 2L Submodels for Visual Recognition. CVPR 2023: 11701-11710 - [c162]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CVPR 2023: 15062-15071 - [c161]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: 24049-24059 - [c160]Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek:
Zero-shot spatial layout conditioning for text-to-image diffusion models. ICCV 2023: 2174-2183 - [c159]Mustafa Shukor, Corentin Dancette, Matthieu Cord:
eP-ALM: Efficient Perceptual Augmentation of Language Models. ICCV 2023: 21999-22012 - [c158]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: 3212-3221 - [c157]Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
DiffEdit: Diffusion-based semantic image editing with mask guidance. ICLR 2023 - [c156]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR 2023 - [c155]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: 28656-28679 - [c154]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 - [c153]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 - [c152]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. NeurIPS 2023 - [c151]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. WACV 2023: 3858-3867 - [i102]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR abs/2301.09858 (2023) - [i101]Mustafa Shukor, Corentin Dancette, Matthieu Cord:
eP-ALM: Efficient Perceptual Augmentation of Language Models. CoRR abs/2303.11403 (2023) - [i100]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 abs/2306.04488 (2023) - [i99]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 abs/2306.08751 (2023) - [i98]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 abs/2306.09281 (2023) - [i97]Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek:
Zero-shot spatial layout conditioning for text-to-image diffusion models. CoRR abs/2306.13754 (2023) - [i96]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 abs/2306.16527 (2023) - [i95]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 abs/2307.09361 (2023) - [i94]Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord:
Unified Model for Image, Video, Audio and Language Tasks. CoRR abs/2307.16184 (2023) - [i93]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR abs/2309.01575 (2023) - [i92]Asya Grechka, Guillaume Couairon, Matthieu Cord:
Gradpaint: Gradient-Guided Inpainting with Diffusion Models. CoRR abs/2309.09614 (2023) - [i91]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 abs/2310.00647 (2023) - [i90]Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny:
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model. CoRR abs/2311.14542 (2023) - [i89]Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. CoRR abs/2312.00703 (2023) - [i88]Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle:
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR abs/2312.06386 (2023) - [i87]Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR abs/2312.09231 (2023) - [i86]Kaouther Messaoud
, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Manipulating Trajectory Prediction with Backdoors. CoRR abs/2312.13863 (2023) - 2022
- [j41]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): 2425-2452 (2022) - [j40]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): 6043-6055 (2022) - [j39]Hedi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord:
Driving behavior explanation with multi-level fusion. Pattern Recognit. 123: 108421 (2022) - [j38]Taylor Mordan
, Matthieu Cord, Patrick Pérez
, Alexandre Alahi
:
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23(8): 11823-11835 (2022) - [c150]Mustafa Shukor, Guillaume Couairon, Matthieu Cord:
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. BMVC 2022: 353 - [c149]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: 1663-1672 - [c148]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CVPR Workshops 2022: 2696-2700 - [c147]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops 2022: 3678-3686 - [c146]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: 3750-3759 - [c145]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CVPR Workshops 2022: 4408-4417 - [c144]Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord:
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. CVPR Workshops 2022: 4566-4577 - [c143]Guillaume Couairon, Matthijs Douze, Matthieu Cord, Holger Schwenk:
Embedding Arithmetic of Multimodal Queries for Image Retrieval. CVPR Workshops 2022: 4946-4954 - [c142]Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CVPR 2022: 9275-9285 - [c141]Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
FlexIT: Towards Flexible Semantic Image Translation. CVPR 2022: 18249-18258 - [c140]Paul Jacob
, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) 2022: 387-403 - [c139]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou:
Three Things Everyone Should Know About Vision Transformers. ECCV (24) 2022: 497-515 - [c138]Hugo Touvron, Matthieu Cord, Hervé Jégou:
DeiT III: Revenge of the ViT. ECCV (24) 2022: 516-533 - [c137]Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. ICML 2022: 18347-18377 - [c136]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. ICPR 2022: 1280-1286 - [c135]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022 - [c134]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS 2022 - [i85]Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
FlexIT: Towards Flexible Semantic Image Translation. CoRR abs/2203.04705 (2022) - [i84]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou:
Three things everyone should know about Vision Transformers. CoRR abs/2203.09795 (2022) - [i83]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR abs/2203.14642 (2022) - [i82]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. CoRR abs/2203.14645 (2022) - [i81]Hugo Touvron, Matthieu Cord, Hervé Jégou:
DeiT III: Revenge of the ViT. CoRR abs/2204.07118 (2022) - [i80]Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord:
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. CoRR abs/2204.09730 (2022) - [i79]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2204.11667 (2022) - [i78]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR abs/2205.09739 (2022) - [i77]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CoRR abs/2205.10139 (2022) - [i76]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. CoRR abs/2205.10158 (2022) - [i75]Corentin Dancette, Matthieu Cord:
Dynamic Query Selection for Fast Visual Perceiver. CoRR abs/2205.10873 (2022) - [i74]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 abs/2206.13294 (2022) - [i73]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR abs/2207.04089 (2022) - [i72]Mustafa Shukor, Guillaume Couairon, Matthieu Cord:
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. CoRR abs/2208.13628 (2022) - [i71]Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
DiffEdit: Diffusion-based semantic image editing with mask guidance. CoRR abs/2210.11427 (2022) - [i70]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CoRR abs/2211.12380 (2022) - [i69]Fabio Cermelli, Matthieu Cord, Arthur Douillard:
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CoRR abs/2211.13999 (2022) - [i68]Mustafa Shukor, Nicolas Thome, Matthieu Cord:
Structured Vision-Language Pretraining for Computational Cooking. CoRR abs/2212.04267 (2022) - [i67]Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou:
Co-training 2L Submodels for Visual Recognition. CoRR abs/2212.04884 (2022) - [i66]Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Recycling diverse models for out-of-distribution generalization. CoRR abs/2212.10445 (2022) - 2021
- [j37]Maxime Bucher, Tuan-Hung Vu
, Matthieu Cord, Patrick Pérez:
Handling new target classes in semantic segmentation with domain adaptation. Comput. Vis. Image Underst. 212: 103258 (2021) - [c133]Asya Grechka, Jean-François Goudou, Matthieu Cord:
MAGECally invert images for realistic editing. BMVC 2021: 93 - [c132]Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord:
Insights From the Future for Continual Learning. CVPR Workshops 2021: 3482-3491 - [c131]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning Without Forgetting for Continual Semantic Segmentation. CVPR 2021: 4040-4050 - [c130]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR 2021: 6830-6840 - [c129]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR 2021: 9342-9350 - [c128]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. ICCV 2021: 32-42 - [c127]Alexandre Ramé, Rémy Sun, Matthieu Cord:
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. ICCV 2021: 803-813 - [c126]Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Grafit: Learning fine-grained image representations with coarse labels. ICCV 2021: 854-864 - [c125]Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV 2021: 1554-1563 - [c124]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV 2021: 9052-9061 - [c123]Alexandre Ramé, Matthieu Cord:
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. ICLR 2021 - [c122]Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou:
Training data-efficient image transformers & distillation through attention. ICML 2021: 10347-10357 - [c121]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. NeurIPS 2021: 20863-20873 - [c120]Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre:
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. NeurIPS 2021: 26005-26014 - [i65]Éloi Zablocki, Hedi Ben-Younes, Patrick Pérez, Matthieu Cord:
Explainability of vision-based autonomous driving systems: Review and challenges. CoRR abs/2101.05307 (2021) - [i64]Alexandre Ramé, Matthieu Cord:
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. CoRR abs/2101.05544 (2021) - [i63]Alexandre Ramé, Rémy Sun, Matthieu Cord:
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. CoRR abs/2103.06132 (2021) - [i62]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. CoRR abs/2103.17239 (2021) - [i61]Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR abs/2104.03149 (2021) - [i60]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR abs/2105.03404 (2021) - [i59]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. CoRR abs/2105.14797 (2021) - [i58]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation with Class Proportions. CoRR abs/2106.01629 (2021) - [i57]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. CoRR abs/2106.15287 (2021) - [i56]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. CoRR abs/2108.06962 (2021) - [i55]Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization. CoRR abs/2109.02934 (2021) - [i54]Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. CoRR abs/2109.03569 (2021) - [i53]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CoRR abs/2109.08048 (2021) - [i52]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. CoRR abs/2110.01397 (2021) - [i51]Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre:
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. CoRR abs/2111.04138 (2021) - [i50]Paul Jacob, Éloi Zablocki, Hedi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. CoRR abs/2111.09094 (2021) - [i49]Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CoRR abs/2111.11326 (2021) - [i48]Guillaume Couairon, Matthieu Cord, Matthijs Douze, Holger Schwenk:
Embedding Arithmetic for Text-driven Image Transformation. CoRR abs/2112.03162 (2021) - [i47]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CoRR abs/2112.03252 (2021) - [i46]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou:
Augmenting Convolutional networks with attention-based aggregation. CoRR abs/2112.13692 (2021) - 2020
- [b1]Matthieu Cord:
Deep Learning and Information Geometry for Time-Series Classification. (Apprentissage Profond et G om trie de L'Information pour la Classification de Signaux Temporels). Sorbonne University, France, 2020 - [j36]Yifu Chen, Arnaud Dapogny, Matthieu Cord:
SEMEDA: Enhancing segmentation precision with semantic edge aware loss. Pattern Recognit. 108: 107557 (2020) - [c119]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. AAAI 2020: 10688-10695 - [c118]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CVPR 2020: 6926-6936 - [c117]Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle
:
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning. ECCV (20) 2020: 86-102 - [c116]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) 2020: 173-189 - [c115]Arnaud Dapogny, Kevin Bailly
, Matthieu Cord:
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. FG 2020: 192-198 - [c114]Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This Dataset Does Not Exist: Training Models from Generated Images. ICASSP 2020: 1-5 - [i45]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CoRR abs/2002.12247 (2020) - [i44]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2004.01130 (2020) - [i43]Arnaud Dapogny, Kévin Bailly, Matthieu Cord:
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. CoRR abs/2004.06558 (2020) - [i42]Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle:
Small-Task Incremental Learning. CoRR abs/2004.13513 (2020) - [i41]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation. CoRR abs/2006.08658 (2020) - [i40]Corentin Dancette, Rémi Cadène, Xinlei Chen, Matthieu Cord:
Overcoming Statistical Shortcuts for Open-ended Visual Counting. CoRR abs/2006.10079 (2020) - [i39]Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord:
Insights from the Future for Continual Learning. CoRR abs/2006.13748 (2020) - [i38]Hugo Touvron, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Powers of layers for image-to-image translation. CoRR abs/2008.05763 (2020) - [i37]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning without Forgetting for Continual Semantic Segmentation. CoRR abs/2011.11390 (2020) - [i36]Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Grafit: Learning fine-grained image representations with coarse labels. CoRR abs/2011.12982 (2020) - [i35]Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. CoRR abs/2012.02647 (2020) - [i34]Hedi Ben-Younes, Eloi Zablocki, Patrick Pérez, Matthieu Cord:
Driving Behavior Explanation with Multi-level Fusion. CoRR abs/2012.04983 (2020) - [i33]Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. CoRR abs/2012.06508 (2020) - [i32]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR abs/2012.11552 (2020) - [i31]Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou:
Training data-efficient image transformers & distillation through attention. CoRR abs/2012.12877 (2020)
2010 – 2019
- 2019
- [j35]Taylor Mordan
, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. Int. J. Comput. Vis. 127(11-12): 1659-1679 (2019) - [j34]Michaël Blot, David Picard
, Nicolas Thome, Matthieu Cord:
Distributed optimization for deep learning with gossip exchange. Neurocomputing 330: 287-296 (2019) - [j33]Thibaut Durand
, Nicolas Thome, Matthieu Cord:
Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 337-351 (2019) - [c113]Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. AAAI 2019: 8102-8109 - [c112]Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CVPR 2019: 1989-1998 - [c111]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CVPR 2019: 2517-2526 - [c110]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. CVPR 2019: 10792-10801 - [c109]Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord:
Second-Order Networks in PyTorch. GSI 2019: 751-758 - [c108]Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord:
Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data. ICASSP 2019: 3672-3676 - [c107]Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny:
DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. ICCV 2019: 3473-3482 - [c106]Arnaud Dapogny, Matthieu Cord, Kevin Bailly
:
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. ICCV 2019: 6892-6900 - [c105]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation. ICCV 2019: 7363-7372 - [c104]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning With Self-Supervision. ICCV 2019: 8058-8067 - [c103]Yifu Chen, Antoine Saporta, Arnaud Dapogny, Matthieu Cord:
Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation. ICIP 2019: 609-613 - [c102]Antoine Saporta, Yifu Chen, Michaël Blot, Matthieu Cord:
Reve: Regularizing Deep Learning with Variational Entropy Bound. ICIP 2019: 1610-1614 - [c101]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. NeurIPS 2019: 466-477 - [c100]Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh:
RUBi: Reducing Unimodal Biases for Visual Question Answering. NeurIPS 2019: 839-850 - [c99]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. NeurIPS 2019: 2898-2909 - [c98]Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord:
Riemannian batch normalization for SPD neural networks. NeurIPS 2019: 15463-15474 - [i30]Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. CoRR abs/1902.00038 (2019) - [i29]Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CoRR abs/1902.09487 (2019) - [i28]Tuan-Hung Vu, Himalaya Jain
, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-aware Domain Adaptation in Semantic Segmentation. CoRR abs/1904.01886 (2019) - [i27]Arnaud Dapogny, Kevin Bailly, Matthieu Cord:
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. CoRR abs/1904.02549 (2019) - [i26]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: a Sorting Deep net to learn ranking loss surrogates. CoRR abs/1904.04272 (2019) - [i25]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network. CoRR abs/1905.01861 (2019) - [i24]Yifu Chen, Arnaud Dapogny, Matthieu Cord:
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss. CoRR abs/1905.01892 (2019) - [i23]Thomas Robert, Nicolas Thome, Matthieu Cord:
DualDis: Dual-Branch Disentangling with Adversarial Learning. CoRR abs/1906.00804 (2019) - [i22]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. CoRR abs/1906.00817 (2019) - [i21]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning with Self-Supervision. CoRR abs/1906.05186 (2019) - [i20]Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh:
RUBi: Reducing Unimodal Biases in Visual Question Answering. CoRR abs/1906.10169 (2019) - [i19]Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord:
Riemannian batch normalization for SPD neural networks. CoRR abs/1909.02414 (2019) - [i18]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. CoRR abs/1910.04851 (2019) - [i17]Antoine Saporta, Yifu Chen, Michaël Blot, Matthieu Cord:
REVE: Regularizing Deep Learning with Variational Entropy Bound. CoRR abs/1910.06816 (2019) - [i16]Victor Besnier, Himalaya Jain
, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This dataset does not exist: training models from generated images. CoRR abs/1911.02888 (2019) - [i15]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QUEST: Quantized embedding space for transferring knowledge. CoRR abs/1912.01540 (2019) - 2018
- [j32]Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognit. Lett. 116: 29-35 (2018) - [j31]Thibaut Durand
, Nicolas Thome, Matthieu Cord:
SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6099-6112 (2018) - [c97]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. CVPR 2018: 3984-3993 - [c96]Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord:
Manifold Learning in Quotient Spaces. CVPR 2018: 9165-9174 - [c95]Octave Mariotti, Matthieu Cord, Olivier Schwander:
Exploring deep vision models for acoustic scene classification. DCASE 2018: 103-107 - [c94]Thomas Robert, Nicolas Thome, Matthieu Cord:
HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. ECCV (7) 2018: 158-175 - [c93]Micael Carvalho, Rémi Cadène, David Picard
, Laure Soulier, Matthieu Cord:
Images and Recipes: Retrieval in the Cooking Context. ICDE Workshops 2018: 169-174 - [c92]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
Shade: Information-Based Regularization for Deep Learning. ICIP 2018: 813-817 - [c91]Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. NeurIPS 2018: 1317-1329 - [c90]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord:
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. SIGIR 2018: 35-44 - [i14]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding beans in burgers: Deep semantic-visual embedding with localization. CoRR abs/1804.01720 (2018) - [i13]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
SHADE: Information-Based Regularization for Deep Learning. CoRR abs/1804.10988 (2018) - [i12]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord:
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. CoRR abs/1804.11146 (2018) - [i11]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord:
Images & Recipes: Retrieval in the cooking context. CoRR abs/1805.00900 (2018) - [i10]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
SHADE: Information-Based Regularization for Deep Learning. CoRR abs/1805.05814 (2018) - [i9]Thomas Robert, Nicolas Thome, Matthieu Cord:
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. CoRR abs/1807.11407 (2018) - [i8]Tuan-Hung Vu, Himalaya Jain
, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CoRR abs/1811.12833 (2018) - 2017
- [j30]Marc T. Law, Nicolas Thome, Matthieu Cord:
Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. Int. J. Comput. Vis. 121(1): 65-94 (2017) - [j29]Xin Wang, Nicolas Thome, Matthieu Cord:
Gaze latent support vector machine for image classification improved by weakly supervised region selection. Pattern Recognit. 72: 59-71 (2017) - [c89]Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Deformable Part-based Fully Convolutional Network for Object Detection. BMVC 2017 - [c88]Thibaut Durand, Taylor Mordan
, Nicolas Thome, Matthieu Cord:
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. CVPR 2017: 5957-5966 - [c87]Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome:
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. ICCV 2017: 2631-2639 - [i7]Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome:
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. CoRR abs/1705.06676 (2017) - [i6]Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Hénaff:
Deformable Part-based Fully Convolutional Network for Object Detection. CoRR abs/1707.06175 (2017) - 2016
- [c86]Marc T. Law, Yaoliang Yu, Matthieu Cord, Eric P. Xing:
Closed-Form Training of Mahalanobis Distance for Supervised Clustering. CVPR 2016: 3909-3917 - [c85]Thibaut Durand, Nicolas Thome, Matthieu Cord:
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. CVPR 2016: 4743-4752 - [c84]Xin Wang, Nicolas Thome, Matthieu Cord:
Gaze latent support vector machine for image classification. ICIP 2016: 236-240 - [c83]Michaël Blot, Matthieu Cord, Nicolas Thome:
Max-min convolutional neural networks for image classification. ICIP 2016: 3678-3682 - [c82]Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila
, Nicolas Thome, Eduardo Valle
:
Deep Neural Networks Under Stress. ICIP 2016: 4443-4447 - [i5]Micael Carvalho
, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle:
Deep Neural Networks Under Stress. CoRR abs/1605.03498 (2016) - [i4]Rémi Cadène, Thomas Robert, Nicolas Thome, Matthieu Cord:
M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification. CoRR abs/1610.05541 (2016) - [i3]Rémi Cadène, Nicolas Thome, Matthieu Cord:
Master's Thesis : Deep Learning for Visual Recognition. CoRR abs/1610.05567 (2016) - [i2]Michaël Blot, Matthieu Cord, Nicolas Thome:
Maxmin convolutional neural networks for image classification. CoRR abs/1610.07882 (2016) - [i1]Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome:
Gossip training for deep learning. CoRR abs/1611.09726 (2016) - 2015
- [c81]Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord:
Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs. CORIA 2015: 223-238 - [c80]Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche:
Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning. CVPR Workshops 2015: 9-17 - [c79]Thibaut Durand, Nicolas Thome, Matthieu Cord:
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. ICCV 2015: 2713-2721 - [c78]Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch:
LR-CNN for fine-grained classification with varying resolution. ICIP 2015: 3101-3105 - [c77]Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche:
Exemplar based metric learning for robust visual localization. ICIP 2015: 4342-4346 - [c76]Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso:
Recipe recognition with large multimodal food dataset. ICME Workshops 2015: 1-6 - [c75]Kleber Jacques Ferreira de Souza, Arnaldo de Albuquerque Araújo, Silvio Jamil Ferzoli Guimarães, Zenilton K. G. do Patrocínio
, Matthieu Cord:
Streaming Graph-Based Hierarchical Video Segmentation by a Simple Label Propagation. SIBGRAPI 2015: 119-125 - 2014
- [j28]Rodrigo Minetto
, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi:
SnooperText: A text detection system for automatic indexing of urban scenes. Comput. Vis. Image Underst. 122: 92-104 (2014) - [j27]Christian Theriault, Nicolas Thome, Matthieu Cord, Patrick Pérez:
Perceptual Principles for Video Classification With Slow Feature Analysis. IEEE J. Sel. Top. Signal Process. 8(3): 428-437 (2014) - [j26]Corina Iovan, Paul-Henry Cournède
, Thomas Guyard, Benoit Bayol, Didier Boldo, Matthieu Cord:
Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation. IEEE Trans. Geosci. Remote. Sens. 52(2): 1438-1450 (2014) - [j25]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2212-2225 (2014) - [c74]Marc T. Law, Nicolas Thome, Matthieu Cord:
Fantope Regularization in Metric Learning. CVPR 2014: 1051-1058 - [c73]Thibaut Durand, David Picard
, Nicolas Thome, Matthieu Cord:
Semantic pooling for image categorization using multiple kernel learning. ICIP 2014: 170-174 - [c72]Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard
:
Incremental learning of latent structural SVM for weakly supervised image classification. ICIP 2014: 4246-4250 - [c71]Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari:
Sequentially Generated Instance-Dependent Image Representations for Classification. ICLR 2014 - [p3]Marc T. Law, Nicolas Thome, Matthieu Cord:
Bag-of-Words Image Representation: Key Ideas and Further Insight. Fusion in Computer Vision 2014: 29-52 - 2013
- [j24]Sandra Eliza Fontes de Avila
, Nicolas Thome, Matthieu Cord, Eduardo Valle
, Arnaldo de Albuquerque Araújo:
Pooling in image representation: The visual codeword point of view. Comput. Vis. Image Underst. 117(5): 453-465 (2013) - [j23]David Picard, Nicolas Thome, Matthieu Cord:
JKernelMachines: a simple framework for kernel machine. J. Mach. Learn. Res. 14(1): 1417-1421 (2013) - [j22]Jonathan Fabrizio, Beatriz Marcotegui, Matthieu Cord:
Text detection in street level images. Pattern Anal. Appl. 16(4): 519-533 (2013) - [j21]Rodrigo Minetto
, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi:
T-HOG: An effective gradient-based descriptor for single line text regions. Pattern Recognit. 46(3): 1078-1090 (2013) - [j20]Christian Theriault, Nicolas Thome, Matthieu Cord:
Extended Coding and Pooling in the HMAX Model. IEEE Trans. Image Process. 22(2): 764-777 (2013) - [c70]Christian Theriault, Nicolas Thome, Matthieu Cord:
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis. CVPR 2013: 2603-2610 - [c69]Marc T. Law, Nicolas Thome, Matthieu Cord:
Quadruplet-Wise Image Similarity Learning. ICCV 2013: 249-256 - [c68]Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila
:
Image classification using object detectors. ICIP 2013: 4340-4344 - [c67]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Top-Down Regularization of Deep Belief Networks. NIPS 2013: 1878-1886 - 2012
- [j19]David Picard
, Arnaud Revel, Matthieu Cord:
An application of swarm intelligence to distributed image retrieval. Inf. Sci. 192: 71-81 (2012) - [j18]David Gorisse, Matthieu Cord, Frédéric Precioso:
Locality-Sensitive Hashing for Chi2 Distance. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 402-409 (2012) - [c66]Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo:
BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c65]Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord:
Structural and visual comparisons for web page archiving. ACM Symposium on Document Engineering 2012: 117-120 - [c64]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. ECCV (5) 2012: 298-311 - [c63]Marc T. Law, Nicolas Thome, Matthieu Cord:
Hybrid Pooling Fusion in the BoW Pipeline. ECCV Workshops (3) 2012: 355-364 - [c62]David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy:
Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. ESANN 2012 - [c61]Jonathan Guyomard, Nicolas Thome, Matthieu Cord, Thierry Artières
:
Contextual detection of drawn symbols in old maps. ICIP 2012: 837-840 - [c60]Corina Iovan, David Picard
, Nicolas Thome, Matthieu Cord:
Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context. ICMLA (2) 2012: 339-344 - [c59]Nicolas Ballas, Benjamin Labbé, Aymen Shabou, Hervé Le Borgne, Philippe Gosselin, Miriam Redi, Bernard Mérialdo, Hervé Jégou, Jonathan Delhumeau, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Franck Thollard, Nadia Derbas, Georges Quénot, Hervé Bredin, Matthieu Cord, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat, Joseph Razik, Sébastion Paris, Hervé Glotin, Tran Ngoc Trung, Dijana Petrovska, Gérard Chollet, Andrei Stoian, Michel Crucianu:
IRIM at TRECVID 2012 : Semantic Indexing and Instance Search. TRECVID 2012 - 2011
- [j17]Shuji Zhao, Frédéric Precioso, Matthieu Cord:
Spatio-Temporal Tube data representation and Kernel design for SVM-based video object retrieval system. Multim. Tools Appl. 55(1): 105-125 (2011) - [j16]David Gorisse, Matthieu Cord, Frédéric Precioso:
SALSAS: Sub-linear active learning strategy with approximate k-NN search. Pattern Recognit. 44(10-11): 2343-2357 (2011) - [c58]Denis Pitzalis
, Franco Niccolucci
, Matthieu Cord:
Using LIDO to handle 3D cultural heritage documentation data provenance. CBMI 2011: 37-42 - [c57]Rodrigo Minetto
, Nicolas Thome, Matthieu Cord, Jorge Stolfi, Frédéric Precioso, Jonathan Guyomard, Neucimar J. Leite:
Text detection and recognition in urban scenes. ICCV Workshops 2011: 227-234 - [c56]Frédéric Precioso, Matthieu Cord, David Gorisse, Nicolas Thome:
Efficient Bag-of-Feature kernel representation for image similarity search. ICIP 2011: 109-112 - [c55]Rodrigo Minetto
, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi:
Snoopertrack: Text detection and tracking for outdoor videos. ICIP 2011: 505-508 - [c54]Hanlin Goh, Lukasz Kusmierz
, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord:
Learning invariant color features with sparse topographic restricted Boltzmann machines. ICIP 2011: 1241-1244 - [c53]Christian Theriault, Nicolas Thome, Matthieu Cord:
HMAX-S: Deep scale representation for biologically inspired image categorization. ICIP 2011: 1261-1264 - [c52]Sandra Eliza Fontes de Avila
, Nicolas Thome, Matthieu Cord, Eduardo Valle
, Arnaldo de Albuquerque Araújo:
BOSSA: Extended bow formalism for image classification. ICIP 2011: 2909-2912 - [c51]Bertrand Delezoide, Frédéric Precioso, Philippe Henri Gosselin, Miriam Redi, Bernard Mérialdo, Lionel Granjon, Denis Pellerin, Michèle Rombaut, Hervé Jégou, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Bahjat Safadi, Franck Thollard, Georges Quénot, Hervé Bredin, Matthieu Cord, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat, Joseph Razik, Sébastion Paris, Hervé Glotin:
IRIM at TRECVID 2011 : Semantic Indexing and Instance Search. TRECVID 2011 - 2010
- [j15]Eduardo Valle
, Matthieu Cord, Sylvie Philipp-Foliguet, David Gorisse:
Indexing personal image collections: a flexible, scalable solution. IEEE Trans. Consumer Electron. 56(3): 1167-1175 (2010) - [c50]David Gorisse, Matthieu Cord, Frédéric Precioso:
Scalable active learning strategy for object category retrieval. ICIP 2010: 1013-1016 - [c49]Rodrigo Minetto
, Nicolas Thome, Matthieu Cord, Jonathan Fabrizio, Beatriz Marcotegui:
Snoopertext: A multiresolution system for text detection in complex visual scenes. ICIP 2010: 3861-3864 - [c48]Shuji Zhao, Frédéric Precioso, Matthieu Cord:
STTK-based video object recognition. ICIP 2010: 3873-3876 - [c47]David Picard
, Nicolas Thome, Matthieu Cord:
An efficient system for combining complementary kernels in complex visual categorization tasks. ICIP 2010: 3877-3880
2000 – 2009
- 2009
- [j14]Matthieu Cord, Padraig Cunningham, Dhiraj Joshi:
Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval. J. Electronic Imaging 18(3): 039901 (2009) - [c46]Eduardo Valle
, David Picard
, Matthieu Cord:
Geometric consistency checking for local-descriptor based document retrieval. ACM Symposium on Document Engineering 2009: 135-138 - [c45]David Gorisse, Matthieu Cord, Frédéric Precioso:
Optimization on active learning strategy for object category retrieval. ICIP 2009: 1873-1876 - [c44]Shuji Zhao, Frédéric Precioso, Matthieu Cord:
Spatio-Temporal Tube Kernel for actor retrieval. ICIP 2009: 1885-1888 - [c43]Jonathan Fabrizio, Beatriz Marcotegui, Matthieu Cord:
Text segmentation in natural scenes using Toggle-Mapping. ICIP 2009: 2373-2376 - [c42]Eduardo Valle, Matthieu Cord:
Similarity Search and Indexing for High-Dimensional Data. SBBD 2009: 263 - [c41]Eduardo Valle
, Matthieu Cord:
Advanced Techniques in CBIR: Local Descriptors, Visual Dictionaries and Bags of Features. SIBGRAPI Tutorials 2009: 72-78 - [c40]Bertrand Delezoide, Hervé Le Borgne, Pierre-Alain Moëllic, Frédéric Precioso, Philippe Gosselin, Feng Wang, Bernard Mérialdo, Lionel Granjon, Denis Pellerin, Michèle Rombaut, Hervé Bredin, Lionel Koenig, Hélène Lachambre, Elie el Khoury, Boris Mansencal, Jenny Benois-Pineau, Hervé Jégou, Stéphane Ayache, Bahjat Safadi, Georges Quénot, Jonathan Fabrizio, Matthieu Cord, Hervé Glotin, Zhongqiu Zhao, Emilie Dumont, Bertrand Augereau:
IRIM at TRECVID 2009 : High Level Feature Extraction. TRECVID 2009 - 2008
- [j13]Philippe Henri Gosselin, Matthieu Cord, Sylvie Philipp-Foliguet:
Combining visual dictionary, kernel-based similarity and learning strategy for image category retrieval. Comput. Vis. Image Underst. 110(3): 403-417 (2008) - [j12]Corina Iovan, Didier Boldo, Matthieu Cord:
Detection, Characterization, and Modeling Vegetation in Urban Areas From High-Resolution Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 1(3): 206-213 (2008) - [j11]Philippe Henri Gosselin, Matthieu Cord:
Active Learning Methods for Interactive Image Retrieval. IEEE Trans. Image Process. 17(7): 1200-1211 (2008) - [j10]David Picard
, Matthieu Cord, Arnaud Revel:
Image Retrieval Over Networks: Active Learning Using Ant Algorithm. IEEE Trans. Multim. 10(7): 1356-1365 (2008) - [c39]David Picard
, Arnaud Revel, Matthieu Cord:
Image retrieval over networks: Ant algorithm for long term active learning. CBMI 2008: 439-445 - [c38]Eduardo Valle
, Matthieu Cord, Sylvie Philipp-Foliguet:
High-dimensional descriptor indexing for large multimedia databases. CIKM 2008: 739-748 - [c37]Eduardo Valle
, Matthieu Cord, Sylvie Philipp-Foliguet:
Fast identification of visual documents using local descriptors. ACM Symposium on Document Engineering 2008: 173-176 - [c36]Shuji Zhao, Frédéric Precioso, Matthieu Cord, Sylvie Philipp-Foliguet:
Actor retrieval system based on kernels on bags of bags. EUSIPCO 2008: 1-5 - [c35]David Picard
, Arnaud Revel, Matthieu Cord:
Long term learning for image retrieval over networks. ICIP 2008: 929-932 - [c34]David Gorisse, Matthieu Cord, Frédéric Precioso, Sylvie Philipp-Foliguet:
Fast approximate kernel-based similarity search for image retrieval task. ICPR 2008: 1-4 - [c33]David Gorisse, Frédéric Precioso, Sylvie Philipp-Foliguet, Matthieu Cord:
Summarization scheme based on near-duplicate analysis. TVS 2008: 50-54 - [c32]Georges Quénot, Jenny Benois-Pineau
, Boris Mansencal
, Eliana Rossi, Matthieu Cord, Frédéric Precioso, David Gorisse, Patrick Lambert, Bertrand Augereau, Lionel Granjon, Denis Pellerin, Michèle Rombaut, Stéphane Ayache:
Rushes summarization by IRIM consortium: redundancy removal and multi-feature fusion. TVS 2008: 80-84 - [c31]Sandra Eliza Fontes de Avila
, Antonio da Luz Jr., Arnaldo de Albuquerque Araújo, Matthieu Cord:
VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation. SIBGRAPI 2008: 103-110 - [p2]Pádraig Cunningham
, Matthieu Cord, Sarah Jane Delany:
Supervised Learning. Machine Learning Techniques for Multimedia 2008: 21-49 - [p1]Matthieu Cord, Philippe Henri Gosselin:
Online Content-Based Image Retrieval Using Active Learning. Machine Learning Techniques for Multimedia 2008: 115-138 - [e1]Matthieu Cord, Pádraig Cunningham
:
Machine Learning Techniques for Multimedia - Case Studies on Organization and Retrieval. Cognitive Technologies, Springer 2008, ISBN 978-3-540-75170-0 [contents] - 2007
- [j9]Matthieu Cord, Philippe Henri Gosselin, Sylvie Philipp-Foliguet:
Stochastic exploration and active learning for image retrieval. Image Vis. Comput. 25(1): 14-23 (2007) - [c30]Julien Gony, Matthieu Cord, Sylvie Philipp-Foliguet, Philippe Henri Gosselin, Frédéric Precioso, Michel Jordan:
RETIN: a smart interactive digital media retrieval system. CIVR 2007: 93-96 - [c29]Philippe Henri Gosselin, Matthieu Cord, Sylvie Philipp-Foliguet:
Kernels on bags for multi-object database retrieval. CIVR 2007: 226-231 - [c28]Eduardo Valle
, Matthieu Cord, Sylvie Philipp-Foliguet:
Matching Local Descriptors for Image Identification on Cultural Databases. ICDAR 2007: 679-683 - [c27]Eduardo Valle
, Matthieu Cord, Sylvie Philipp-Foliguet:
3-Way-Trees: A Similarity Search Method for High-Dimensional Descriptor Matching. ICIP (1) 2007: 173-176 - [c26]Philippe Henri Gosselin, Matthieu Cord, Sylvie Philipp-Foliguet:
Kernels on Bags of Fuzzy Regions for Fast Object retrieval. ICIP (1) 2007: 177-180 - [c25]Corina Iovan, Didier Boldo, Matthieu Cord, Mats Erikson:
Automatic Extraction and Classification of Vegetation Areas from High Resolution Images in Urban Areas. SCIA 2007: 858-867 - 2006
- [j8]Philippe Henri Gosselin, Matthieu Cord:
Feature-based approach to semi-supervised similarity learning. Pattern Recognit. 39(10): 1839-1851 (2006) - [c24]Guillermo Cámara Chávez, Matthieu Cord, Sylvie Philipp-Foliguet, Frédéric Precioso, Arnaldo de Albuquerque Araújo:
Robust scene cut detection by supervised learning. EUSIPCO 2006: 1-5 - [c23]Eduardo Valle
, Matthieu Cord, Sylvie Philipp-Foliguet:
Content-Based Retrieval of Images for Cultural Institutions Using Local Descriptors. GMAI 2006: 177-182 - [c22]Matthieu Cord, Philippe Henri Gosselin:
Image Retrieval using Long-Term Semantic Learning. ICIP 2006: 2909-2912 - [c21]Philippe Henri Gosselin, Matthieu Cord:
Precision-Oriented Active Selection for Interactive Image Retrieval. ICIP 2006: 3197-3200 - [c20]David Picard
, Matthieu Cord, Arnaud Revel:
CBIR in Distributed Databases using a Multi-Agent System. ICIP 2006: 3205-3208 - [c19]Guillermo Cámara Chávez
, Matthieu Cord, Frédéric Precioso, Sylvie Philipp-Foliguet, Arnaldo de Albuquerque Araújo:
Video Segmentation by Supervised Learning. SIBGRAPI 2006: 365-372 - [c18]Guillermo Cámara Chávez, Frédéric Precioso, Matthieu Cord, Sylvie Philipp-Foliguet, Arnaldo de Albuquerque Araújo:
Shot Boundary Detection at TRECVID 2006. TRECVID 2006 - [c17]David Picard
, Matthieu Cord:
Performances of Mobile-Agents for Interactive Image Retrieval. Web Intelligence 2006: 581-586 - 2005
- [j7]Matthieu Cord, Sylvie Philipp-Foliguet, Philippe Henri Gosselin, Jérôme Fournier:
Interactive Exploration for Image Retrieval. EURASIP J. Adv. Signal Process. 2005(14): 2173-2186 (2005) - [c16]Philippe Henri Gosselin, Matthieu Cord:
Semantic Learning Methods: Application to Image Retrieval. CAP 2005: 109-110 - [c15]Philippe Henri Gosselin, Matthieu Cord:
Semantic kernel learning for interactive image retrieval. ICIP (1) 2005: 1177-1180 - 2004
- [j6]Marcelo Bernardes Vieira
, Paulo P. Martins Jr., Arnaldo de Albuquerque Araújo, Matthieu Cord, Sylvie Philipp-Foliguet:
Smooth Surface Reconstruction Using Tensor Fields as Structuring Elements. Comput. Graph. Forum 23(4): 813-823 (2004) - [j5]Matthieu Cord, Jérôme Fournier, Sylvie Philipp-Foliguet:
Approche interactive de la recherche d'images par le contenu. Tech. Sci. Informatiques 23(1): 97-123 (2004) - [c14]Philippe Henri Gosselin, Matthieu Cord:
A Comparison of Active Classification Methods for ContentBased Image Retrieval. CVDB 2004: 51-58 - [c13]Philippe Henri Gosselin, Matthieu Cord:
Retin al: an active learning strategy for image category retrieval. ICIP 2004: 2219-2222 - [c12]Philippe Henri Gosselin, Matthieu Cord:
Semantic kernel updating for content-based image retrieval. ISMSE 2004: 537-544 - 2003
- [c11]Marcelo Bernardes Vieira
, Matthieu Cord, Paulo P. Martins Jr., Sylvie Philipp-Foliguet, Arnaldo de Albuquerque Araújo:
Reconstruction Using Surface Dedicated Tensorial Fields. SIBGRAPI 2003: 52-59 - [c10]Matthieu Cord, Jérôme Fournier, Sylvie Philipp-Foliguet:
Exploration and Search-by-Similarity in CBIR. SIBGRAPI 2003: 175-182 - 2002
- [c9]Jérôme Fournier, Matthieu Cord:
Long-term similarity learning in content-based image retrieval. ICIP (1) 2002: 441-444 - [c8]Matthieu Cord, Thomas Belli:
Terrain surface modeling from altimetric data. ICIP (3) 2002: 809-812 - [c7]Jérôme Fournier, Matthieu Cord:
A Flexible Search-by-Similarity Algorithm for Content-Based Image Retrieval. JCIS 2002: 672-675 - [c6]Marcelo Bernardes Vieira
, Matthieu Cord, Paulo P. Martins Jr., Arnaldo de Albuquerque Araújo, Sylvie Philipp-Foliguet:
Filtering Sparse Data with 3D Tensorial Structuring Elements. SIBGRAPI 2002: 106-111 - [c5]Marcelo Bernardes Vieira
, Arnaldo de Albuquerque Araújo, Sylvie Philipp-Foliguet, Matthieu Cord, Michel Jordan, J. Grillo:
Navegador3D: An Internet Based Flight Simulator of Urban Centers. SIBGRAPI 2002: 432 - 2001
- [j4]Matthieu Cord, Michel Jordan, Jean Pierre Cocquerez:
Accurate Building Structure Recovery from High Resolution Aerial Imagery. Comput. Vis. Image Underst. 82(2): 138-173 (2001) - [j3]Jérôme Fournier, Matthieu Cord, Sylvie Philipp-Foliguet:
RETIN: A Content-Based Image Indexing and Retrieval System. Pattern Anal. Appl. 4(2-3): 153-173 (2001) - [j2]Matthieu Cord, David Declercq:
Three-dimensional building detection and modeling using a statistical approach. IEEE Trans. Image Process. 10(5): 715-723 (2001) - [c4]Jérôme Fournier, Matthieu Cord, Sylvie Philipp-Foliguet:
Back-propagation algorithm for relevance feedback in image retrieval. ICIP (1) 2001: 686-689
1990 – 1999
- 1999
- [c3]Matthieu Cord, David Declercq:
Bayesian Model Identification: Application to Building Reconstruction in Aerial Imagery. ICIP (3) 1999: 140-144 - [c2]Jean Pierre Cocquerez, Matthieu Cord, Michel Jordan:
Accurate Building Structure Recovery from Aerial Imagery. SIBGRAPI 1999: 315-316 - 1998
- [j1]Nicolas Paparoditis, Matthieu Cord, Michel Jordan, Jean Pierre Cocquerez:
Building Detection and Reconstruction from Mid- and High-Resolution Aerial Imagery. Comput. Vis. Image Underst. 72(2): 122-142 (1998) - [c1]Nicolas Paparoditis, Matthieu Cord:
Combining intensity and stereo data to improve satellite urban scenes modeling. EUSIPCO 1998: 1-4
Coauthor Index
aka: Kévin Bailly
aka: Hedi Ben-Younes
aka: Éloi Zablocki
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