I am now working on Self-Driving Vehicules with Andrej Karpathy at Tesla. Before that, I did some postdoctoral studies at Sorbonne and Brown University.

My scientific interest lies in understanding the underlying mechanisms of intelligence. My research is currently focused on learning complex behaviors with neural networks. I am working on novel architectures, learning approaches, theoritical frameworks and explainability methods. I like to contribute to open-source projects and to read about neuroscience!

CV

Publications

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

C. Dancette*, R. Cadene*, D. Teney, M. Cord

Arxiv (2021)

Arxiv

@inproceedings{dancette2021assessing,
author = {Dancette, Corentin and Cadene, Remi and Teney, Damien and Cord, Matthieu},
title = {Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering},
booktitle = {Arxiv},
year = {2021},
url = {https://arxiv.org/abs/2104.03149}
}

Deep Multimodal Learning for Vision and Language Processing

R. Cadene

Sorbonne Université (2021)

Thesis

@phdthesis{cadene2021multimodal,
author={R. Cadene},
year = {2021},
title = {Deep Multimodal Learning for Vision and Language Processing},
school={Sorbonne Universit{\'e}, UPMC},
url = {https://hal.archives-ouvertes.fr/tel-03140942}
}

Same-different conceptualization: a machine vision perspective

M. Ricci, R. Cadene, T. Serre

Elsevier COBS (2021)

Paper

@article{ricci2020samedifferent,
author = {Matthew Ricci and Rémi Cadène and Thomas Serre}
year = {2021},
title = {Same-different conceptualization: a machine vision perspective},
journal = {Current Opinion in Behavioral Sciences},
volume = {37},
pages = {47 - 55},
issn = {2352-1546},
doi = {https://doi.org/10.1016/j.cobeha.2020.08.008},
url = {http://www.sciencedirect.com/science/article/pii/S2352154620301352}
}

Overcoming Statistical Shortcuts for Open-ended Visual Counting

C. Dancette*, R. Cadene*, X. Chen, M. Cord

Arxiv (2020)

Arxiv

@inproceedings{dancette2020counting,
author = {Dancette, Corentin and Cadene, Remi and Chen, Xinlei and Cord, Matthieu},
title = {Overcoming Statistical Shortcuts for Open-ended Visual Counting},
booktitle = {Arxiv},
year = {2020},
url = {https://arxiv.org/abs/2006.10079}
}

RUBi: Reducing Unimodal Biases for Visual Question Answering

R. Cadene*, C. Dancette*, H. Ben-Younes, M. Cord, D. Parikh

NeurIPS (2019)

Arxiv Code

@inproceedings{cadene2019rubi,
author = {Cadene, Remi and Dancette, Corentin and Ben-Younes, Hedi and Cord, Matthieu and Parikh, Devi},
title = {{RUB}i: {R}educing {U}nimodal {B}iases for {V}isual {Q}uestion {A}nswering},
booktitle = {Advances in Neural Information Processing Systems 32},
year = {2019},
url = {https://arxiv.org/abs/1906.10169}
}

MUREL: Multimodal Relational Reasoning for Visual Question Answering

R. Cadene*, H. Ben-Younes*, N. Thome, M. Cord

CVPR (2019)

Arxiv Code

@inproceedings{cadene2019murel,
author = {Cadene, Remi and Ben-Younes, Hedi and Thome, Nicolas and Cord, Matthieu},
title = {MUREL: {M}ultimodal {R}elational {R}easoning for {V}isual {Q}uestion {A}nswering},
booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition {CVPR}},
year = {2019},
url = {https://arxiv.org/abs/1902.09487}
}

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

H. Ben-Younes, R. Cadene, N. Thome, M. Cord

AAAI (2019)

Arxiv Poster Code

@inproceedings{benyounes2019block,
author = {Ben-Younes, Hedi and Cadene, Remi and Thome, Nicolas and Cord, Matthieu},
title = {BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection},
booktitle = {Proceedings of the 33st Conference on Artificial Intelligence (AAAI)},
year = {2019},
url = {https://arxiv.org/abs/1902.00038}
}

Bootstrap.pytorch, a high-level framework for accelerating research

R. Cadene, M. Carvalho, H. Ben-Younes, T. Robert, M. Cord

Pytorch (2018)

Poster Code

Benchmark Analysis of Representative Deep Neural Network Architectures

S. Bianco, R. Cadene, L. Celona, P. Napoletano

IEEE Access (2018)

Arxiv Code

@article{bianco2018dnnsbench,
author = {Bianco, Simone and Cadene, Remi and Celona, Luigi and Napoletano, Paolo},
year = {2018},
title = {Benchmark Analysis of Representative Deep Neural Network Architectures},
journal = {IEEE Access},
volume = {6},
pages = {64270-64277},
doi = {10.1109/ACCESS.2018.2877890},
ISSN = {2169-3536},
}

VQA Challenge Workshop: Bilinear Superdiagonal Fusion

H. Ben-Younes, R. Cadene, N. Thome, M. Cord

VQA Workshop (CVPR) (2018)

Code

Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings

M. Carvalho*, R. Cadene* D. Picard, L. Soulier, N. Thome, M. Cord

SIGIR (2018)

Arxiv Code

@inproceedings{carvalho2018adamine,
author = {Carvalho, Micael and Cadene, Remi and Picard, David and Soulier, Laure and Thome, Nicolas and Cord, Matthieu},
title = {Cross-modal retrieval in the cooking context: {L}earning semantic text-image embeddings},
booktitle = {The ACM Conference on Research and Development in Information Retrieval (SIGIR)},
year = {2018},
url = {https://arxiv.org/abs/1804.11146}
}

Images & Recipes: Retrieval in the cooking context

M. Carvalho*, R. Cadene*, D. Picard, L. Soulier, M. Cord

DECOR Workshop (ICDE) (2018)

Arxiv Slides Code

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

H. Ben-Younes*, R. Cadene*, N. Thome, M. Cord

ICCV (2017)

Arxiv Slides Code

@inproceedings{benyounes2017mutan,
author = {Ben-younes, Hedi and Cadene, Remi and Cord, Matthieu and Thome, Nicolas},
title = {{MUTAN}: {M}ultimodal {T}ucker {F}usion for {V}isual {Q}uestion {A}nswering},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017},
url = {http://arxiv.org/abs/1705.06676}
}

VQA Challenge Workshop: MUTAN 2.0

H. Ben-Younes*, R. Cadene*, N. Thome, M. Cord

VQA Workshop (CVPR) (2017)

Poster Code

Master's Thesis - Deep Learning for Visual Recognition

R. Cadene, N. Thome, M. Cord

(2016)

Arxiv Slides Code

@article{DBLP:journals/corr/CadeneTC16,
author = {R{\'{e}}mi Cad{\`{e}}ne and
Nicolas Thome and
Matthieu Cord},
title = {Master's Thesis : Deep Learning for Visual Recognition},
journal = {CoRR},
volume = {abs/1610.05567},
year = {2016},
url = {http://arxiv.org/abs/1610.05567},
timestamp = {Wed, 02 Nov 2016 09:51:26 +0100},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/CadeneTC16},
bibsource = {dblp computer science bibliography, http://dblp.org}
}

M2CAI Workflow Challenge: Convolutional Neural Networks for Video Frames Classification

R. Cadene, T. Robert, N. Thome, M. Cord

M2CAI Workshop (MICCAI) (2016)

Arxiv Poster Code

@article{DBLP:journals/corr/CadeneRTC16,
author = {R{\'{e}}mi Cad{\`{e}}ne and
Thomas Robert and
Nicolas Thome and
Matthieu Cord},
title = {{M2CAI} Workflow Challenge: Convolutional Neural Networks with Time
Smoothing and Hidden Markov Model for Video Frames Classification},
journal = {CoRR},
volume = {abs/1610.05541},
year = {2016},
url = {http://arxiv.org/abs/1610.05541},
timestamp = {Wed, 02 Nov 2016 09:51:26 +0100},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/CadeneRTC16},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
* equal contribution

Contact

Couloir 26-00, Bureau 523
4, place Jussieu
75005 Paris
France
@remicadene
Cadene