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Rémi Cadène
Rémi Cadène
Sorbonne University
Verified email at lip6.fr - Homepage
Title
Cited by
Cited by
Year
Benchmark analysis of representative deep neural network architectures
S Bianco, R Cadene, L Celona, P Napoletano
IEEE Access 6, 64270-64277, 2018
5192018
Mutan: Multimodal tucker fusion for visual question answering
H Ben-Younes, R Cadene, M Cord, N Thome
Proceedings of the IEEE international conference on computer vision, 2612-2620, 2017
4742017
Murel: Multimodal relational reasoning for visual question answering
R Cadene, H Ben-Younes, M Cord, N Thome
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1952019
Rubi: Reducing unimodal biases for visual question answering
R Cadene, C Dancette, M Cord, D Parikh
Advances in neural information processing systems 32, 2019
1512019
Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings
M Carvalho, R Cadène, D Picard, L Soulier, N Thome, M Cord
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
1392018
Block: Bilinear superdiagonal fusion for visual question answering and visual relationship detection
H Ben-Younes, R Cadene, N Thome, M Cord
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8102-8109, 2019
1182019
M2cai workflow challenge: convolutional neural networks with time smoothing and hidden Markov model for video frames classification
R Cadene, T Robert, N Thome, M Cord
arXiv preprint arXiv:1610.05541, 2016
222016
Same-different conceptualization: a machine vision perspective
M Ricci, R Cadène, T Serre
Current Opinion in Behavioral Sciences 37, 47-55, 2021
102021
Master's Thesis: Deep Learning for Visual Recognition
R Cadène, N Thome, M Cord
arXiv preprint arXiv:1610.05567, 2016
102016
Beyond question-based biases: Assessing multimodal shortcut learning in visual question answering
C Dancette, R Cadene, D Teney, M Cord
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
92021
Understanding the computational demands underlying visual reasoning
M Vaishnav, R Cadene, A Alamia, D Linsley, R VanRullen, T Serre
Neural Computation 34 (5), 1075-1099, 2022
32022
Small-task incremental learning
A Douillard, M Cord, C Ollion, T Robert, E Valle, N Thome, M Blot, ...
CoRR, 2020
32020
Images and recipes: Retrieval in the cooking context
M Carvalho, R Cadene, D Picard, L Soulier, M Cord
2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018
32018
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks
T Fel, D Vigouroux, R Cadène, T Serre
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
22022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
T Fel, R Cadène, M Chalvidal, M Cord, D Vigouroux, T Serre
Advances in Neural Information Processing Systems 34, 2021
22021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
F Thomas, R Cadene, M Chalvidal, M Cord, D Vigouroux, T Serre
Advances in Neural Information Processing Systems, 2021
22021
Deep learning and image classification on a medium dataset of cooking recipes
R Cadene
Online: http://remicadene. com/uploads/summer-internship-2015. pdf, 2015
22015
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
T Fel, J Colin, R Cadène, T Serre
arXiv preprint arXiv:2112.04417, 2021
12021
Deep Multimodal Learning for Vision and Language Processing
R Cadène
Sorbonne Université, UPMC, 2020
12020
Overcoming statistical shortcuts for open-ended visual counting
C Dancette, R Cadene, X Chen, M Cord
arXiv preprint arXiv:2006.10079, 2020
12020
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