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Rémi Cadène
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2020 – today
- 2023
- [c14]Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre:
CRAFT: Concept Recursive Activation FacTorization for Explainability. CVPR 2023: 2711-2721 - [c13]Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodème, Thomas Serre:
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CVPR 2023: 16153-16163 - [c12]Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre:
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS 2023 - [c11]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre:
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS 2023 - [i19]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin
, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre:
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR abs/2306.06805 (2023) - [i18]Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre:
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR abs/2306.07304 (2023) - 2022
- [j2]Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen
Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. 34(5): 1075-1099 (2022) - [c10]Julien Colin, Thomas Fel, Rémi Cadène, Thomas Serre:
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. NeurIPS 2022 - [c9]Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre:
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks. WACV 2022: 1565-1575 - [i17]Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodeme, Thomas Serre:
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CoRR abs/2202.07728 (2022) - [i16]Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin
Xplique: A Deep Learning Explainability Toolbox. CoRR abs/2206.04394 (2022) - [i15]Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin
CRAFT: Concept Recursive Activation FacTorization for Explainability. CoRR abs/2211.10154 (2022) - 2021
- [c8]Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV 2021: 1554-1563 - [c7]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 - [i14]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) - [i13]Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen
Understanding the computational demands underlying visual reasoning. CoRR abs/2108.03603 (2021) - [i12]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) - [i11]Thomas Fel, Julien Colin, Rémi Cadène, Thomas Serre:
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. CoRR abs/2112.04417 (2021) - 2020
- [b1]Rémi Cadène:
Deep Multimodal Learning for Vision and Language Processing. (Apprentissage Multimodal Profond pour le Traitement de la Vision et du Langage). Pierre and Marie Curie University, France, 2020 - [i10]Corentin Dancette, Rémi Cadène, Xinlei Chen, Matthieu Cord:
Overcoming Statistical Shortcuts for Open-ended Visual Counting. CoRR abs/2006.10079 (2020)
2010 – 2019
- 2019
- [c6]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 - [c5]Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CVPR 2019: 1989-1998 - [c4]Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh:
RUBi: Reducing Unimodal Biases for Visual Question Answering. NeurIPS 2019: 839-850 - [i9]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) - [i8]Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CoRR abs/1902.09487 (2019) - [i7]Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh:
RUBi: Reducing Unimodal Biases in Visual Question Answering. CoRR abs/1906.10169 (2019) - 2018
- [j1]Simone Bianco
Benchmark Analysis of Representative Deep Neural Network Architectures. IEEE Access 6: 64270-64277 (2018) - [c3]Micael Carvalho, Rémi Cadène, David Picard
Images and Recipes: Retrieval in the Cooking Context. ICDE Workshops 2018: 169-174 - [c2]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 - [i6]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) - [i5]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord:
Images & Recipes: Retrieval in the cooking context. CoRR abs/1805.00900 (2018) - [i4]Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano:
Benchmark Analysis of Representative Deep Neural Network Architectures. CoRR abs/1810.00736 (2018) - 2017
- [c1]Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome:
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. ICCV 2017: 2631-2639 - [i3]Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome:
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. CoRR abs/1705.06676 (2017) - 2016
- [i2]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) - [i1]Rémi Cadène, Nicolas Thome, Matthieu Cord:
Master's Thesis : Deep Learning for Visual Recognition. CoRR abs/1610.05567 (2016)
Coauthor Index
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