Rémy Sun

Centre National de la Recherche Scientifique — France

Computer Science · Physical Sciences

6h-index124citations27works0.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Generative Adversarial Networks and Image Synthesis(6), Advanced Neural Network Applications(5), Explainable Artificial Intelligence (XAI)(4), Domain Adaptation and Few-Shot Learning(3), Adversarial Robustness in Machine Learning(3)

Publications27 total

Epicanthal Fold Reconstruction Using V-Y Advancement and Triangular Flap
Journal of Craniofacial Surgery·2025
Leveraging Concept Annotations for Trustworthy Multimodal Video Interpretation through Modality Specialization
2025Open Access
Re-examining Concept-based Explainable Models for Multimodal Interpretative Tasks
2025Open Access
CleverFish: An AI-Driven Platform to Monitor and Explore Marine Ecological Resources
Frontiers in artificial intelligence and applications·2025Open Access
MObyGaze: a film dataset of multimodal objectification densely annotated by experts
arXiv (Cornell University)·2025Open Access
Leveraging multimodal explanatory annotations for video interpretation with Modality Specific Dataset
arXiv (Cornell University)·2025Open Access
Mind the Map! Accounting for Existing Maps When Estimating Online HDMaps from Sensors
2025· 3 cited
Mind the map! Accounting for existing map information when estimating online HDMaps from sensor
arXiv (Cornell University)·2023· 1 citedOpen Access
Exploring the Road Graph in Trajectory Forecasting for Autonomous Driving
2023· 6 citedOpen Access
Semantic augmentation by mixing contents for semi-supervised learning
Pattern Recognition·2023Open Access
Content combination strategies for Image Classification
theses.fr (ABES)·2022Open Access
Swapping Semantic Contents for Mixing Images
2022 26th International Conference on Pattern Recognition (ICPR)·2022· 1 citedOpen Access
Towards efficient feature sharing in MIMO architectures
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 5 citedOpen Access
Towards efficient feature sharing in MIMO architectures
arXiv (Cornell University)·2022Open Access
Swapping Semantic Contents for Mixing Images
arXiv (Cornell University)·2022Open Access
[Development of a deep learning based prototype artificial intelligence system for the detection of dental caries in children].
PubMed·2021· 9 cited
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 38 citedOpen Access
A Theory of Independent Mechanisms for Extrapolation in Generative Models
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 13 citedOpen Access
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
HAL (Le Centre pour la Communication Scientifique Directe)·2021Open Access
A theory of independent mechanisms for extrapolation in generative models
arXiv (Cornell University)·2020· 5 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Fŕed́eric Precioso(7), Matthieu Cord(6), Michel Besserve(5), Bernhard Schölkopf(5), Nicolas Thome(5), Alexandre Ramé(4), Diane Lingrand(4), Julie Tores(4), Elisa Ancarani(4), Hui-Yin Wu(4), Dominik Janzing(3), Christoph H. Lampert(3), Gilles Hénaff(3), Clément Masson(3), Lucile Sassatelli(3), Clement Masson(2), Arash Mehrjou(1), Renpeng Li(1), Ji Xiang Zhu(1), Y Y Wang(1)