Author

Rémi Cadène

Observed names: Cadene, Remi, Cadene, Rémi, Cadène, Rémi, Remi Cadene, Rémi Cadène

Observed institutions: École Normale Supérieure Paris-Saclay, Centre National de la Recherche Scientifique, Université Paris Cité, Brown University, Sorbonne Université, University of Oxford, LIP6

OpenAlex ID: A5036295862

Benchmark Analysis of Representative Deep Neural Network Architectures

2018 · Simone Bianco, Remi Cadene, et al. · IEEE Access · 895

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

2017 · Hedi Ben-younes, Remi Cadene, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 753

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SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

2025 · Shukor, Mustafa, Aubakirova, Dana, et al. · arXiv (Cornell University) · 695

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MUREL: Multimodal Relational Reasoning for Visual Question Answering

2019 · Remi Cadene, Hedi Ben-younes, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 339

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RUBi: Reducing Unimodal Biases in Visual Question Answering

2019 · Cadene, Remi, Dancette, Corentin, et al. · arXiv (Cornell University) · 262

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

2019 · Ben-younes, Hedi, Cadene, Remi, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 235

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Cross-Modal Retrieval in the Cooking Context

2018 · Micael Carvalho, Rémi Cadène, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 201

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

2021 · Corentin Dancette, Remi Cadene, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 90

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RUBi: Reducing Unimodal Biases for Visual Question Answering

2019 · Cadene, Remi, Dancette, Corentin, et al. · HAL · 69

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LeRobot: An Open-Source Library for End-to-End Robot Learning

2026 · Cadene, Remi, Aliberts, Simon, et al. · arXiv (Cornell University) · 62

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

2021 · Colin, Julien, Fel, Thomas, et al. · PubMed · 53

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Xplique: A Deep Learning Explainability Toolbox

2022 · Fel, Thomas, Hervier, Lucas, et al. · arXiv (Cornell University) · 42

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Same-different conceptualization: a machine vision perspective

2020 · Matthew Ricci, Rémi Cadène, et al. · Current Opinion in Behavioral Sciences · 40

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

2021 · Fel, Thomas, Cadene, Remi, et al. · arXiv (Cornell University) · 39

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

2022 · Thomas Fel, David Vigouroux, et al. · IEEE Winter Conference on Applications of Computer Vision · 37

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

2023 · Thomas Fel, Victor Boutin, et al. · neural information processing systems · 36

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

2019 · Hedi Ben-younes, Remi Cadene, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 36

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

2023 · Thomas Fel, Melanie Ducoffe, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 35

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

2016 · Cadène, Rémi, Robert, Thomas, et al. · arXiv (Cornell University) · 25

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Understanding the Computational Demands Underlying Visual Reasoning

2022 · Mohit Vaishnav, Remi Cadene, et al. · Neural Computation · 18

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Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization

2023 · Thomas Fel, Thibaut Boissin, et al. · neural information processing systems · 12

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

2021 · Fel, Thomas, Colin, Julien, et al. · HAL · 12