Rémi Cadène

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 34

Top Topics

Computational Demands

Visual Recognition

Top Venues

Publications

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)
Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin 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 (2023)
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)
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)
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 (2023)
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 (2022)
Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. 34 (5) (2022)
Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poche, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre
Xplique: A Deep Learning Explainability Toolbox. CoRR (2022)
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)
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)
Thomas Fel, Agustin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
CRAFT: Concept Recursive Activation FacTorization for Explainability. CoRR (2022)
Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV (2021)
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)
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 (2021)
Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR (2021)
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 (2021)
Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
Understanding the computational demands underlying visual reasoning. CoRR (2021)
Corentin Dancette, Rémi Cadène, Xinlei Chen, Matthieu Cord
Overcoming Statistical Shortcuts for Open-ended Visual Counting. CoRR (2020)
Rémi Cadène, Corentin Dancette, Hedi Ben-younes, Matthieu Cord, Devi Parikh
RUBi: Reducing Unimodal Biases in Visual Question Answering. CoRR (2019)
Rémi Cadène, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CoRR (2019)
Hedi Ben-younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. AAAI (2019)
Hedi Ben-younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. CoRR (2019)
Rémi Cadène, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CVPR (2019)
Rémi Cadène, Corentin Dancette, Hedi Ben-younes, Matthieu Cord, Devi Parikh
RUBi: Reducing Unimodal Biases for Visual Question Answering. NeurIPS (2019)
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 (2018)
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)
Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano
Benchmark Analysis of Representative Deep Neural Network Architectures. CoRR (2018)
Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord
Images and Recipes: Retrieval in the Cooking Context. ICDE Workshops (2018)
Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano
Benchmark Analysis of Representative Deep Neural Network Architectures. IEEE Access 6 (2018)
Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord
Images & Recipes: Retrieval in the cooking context. CoRR (2018)
Hedi Ben-younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. CoRR (2017)
Hedi Ben-younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. ICCV (2017)
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 (2016)
Rémi Cadène, Nicolas Thome, Matthieu Cord
Master's Thesis : Deep Learning for Visual Recognition. CoRR (2016)