Rémi Cadène

According to our database, Rémi Cadène authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre

CoRR, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation.

Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CRAFT: Concept Recursive Activation FacTorization for Explainability.

Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis.

Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodème, Thomas Serre

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Understanding the Computational Demands Underlying Visual Reasoning.

Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre

Neural Comput., 2022

Xplique: A Deep Learning Explainability Toolbox.

Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Martin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre

CoRR, 2022

How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks.

Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods.

Julien Colin, Thomas Fel, Rémi Cadène, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis.

Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering.

Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Multimodal Learning for Vision and Language Processing. (Apprentissage Multimodal Profond pour le Traitement de la Vision et du Langage).

Rémi Cadène

PhD thesis, 2020

Overcoming Statistical Shortcuts for Open-ended Visual Counting.

Corentin Dancette, Rémi Cadène, Xinlei Chen, Matthieu Cord

CoRR, 2020

2019

RUBi: Reducing Unimodal Biases for Visual Question Answering.

Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

MUREL: Multimodal Relational Reasoning for Visual Question Answering.

Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection.

Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Images & Recipes: Retrieval in the cooking context.

Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord

CoRR, 2018

Benchmark Analysis of Representative Deep Neural Network Architectures.

Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano

IEEE Access, 2018

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings.

Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Images and Recipes: Retrieval in the Cooking Context.

Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord

Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

2017

MUTAN: Multimodal Tucker Fusion for Visual Question Answering.

Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Master's Thesis : Deep Learning for Visual Recognition.

Rémi Cadène, Nicolas Thome, Matthieu Cord

CoRR, 2016

M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification.

Rémi Cadène, Thomas Robert, Nicolas Thome, Matthieu Cord

CoRR, 2016