Trading sharpness with energy consumption in a lens autofocus application
Molnos, A. (2016). "Trading sharpness with energy consumption in a lens autofocus application" Workshop on Approximate Computing, Embedded Systems Week.
CV
Education
- Training in Sustainable Development for public policies
- Ph.D in Signal and Image Processing, Paris-Saclay University, March 2021
- MEng in Data & Decision Sciences, ISAE-Supaero, 2017
- MSc in Stastistic, Université Paul Sabatier, 2017
Work experience
- September 2022: R&D Engineer
- IGN - French Mapping Agency
- Working on Change Detection and Deep Learning for remote sensing
- June 2021 - August 2022: PostDoctoral Researcher
- IMAGINE/LIGM - École des Ponts ParisTech - ENPC
- Supervisor: Mathieu Aubry
- In charge of the scientific seminar
- October 2017 - March 2021: PhD Student
- IMAGES - Télécom Paris
- Université Paris-Saclay
- Supervisor: Yann Gousseau, Saïd Ladjal and Olivier Bonfait
- PhD representative at the administrative board of Télécom Paris (2018-2020)
- In charge of the deep learning seminar
Interests
- Deep learning
- Transfer learning
- Change Detection
- Geospatial Data
- Domain Adaptation
- Digital Humanities
Publications
Neural signature of inattentional deafness
Durantin, G. (2017). "Neural signature of inattentional deafness" Human Brain Mapping.
Disruption in Neural Phase Synchrony is Related to Identification of Inattentional Deafness in Real-World Setting
Callan, D. (2018). "Disruption in Neural Phase Synchrony is Related to Identification of Inattentional Deafness in Real-World Setting" Human brain mapping.
Weakly Supervised Object Detection in Artworks
Gonthier, N. (2018). "Weakly Supervised Object Detection in Artworks" Workshop on Computer Vision for Art Analysis ECCV.
Transfert d’apprentissage et visualisation de réseaux de neurones pour les images artistiques
Gonthier, N. (2020). "Transfert d'apprentissage et visualisation de réseaux de neurones pour les images artistiques" DHNord, The Measurement of Images. Computational Approaches in the History and Theory of the Arts..
An analysis of the transfer learning of convolutional neural networks for artistic images
Gonthier, N. (2020). "An analysis of the transfer learning of convolutional neural networks for artistic images" Workshop on Fine Art Pattern Extraction and Recognition ICPR.
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
Gonthier, N. (2022). "Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts" Computer Vision and Image Understanding.
High resolution neural texture synthesis with long range constraints
Gonthier, N. (2022). "High resolution neural texture synthesis with long range constraints" Journal of Mathematical Imaging and Vision.
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
Marsocci V. (2023). "GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates" CVPR Workshops EarthVision.
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery Permalink
Garioud A. (2023). "FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery" NeurIPS Datasets and Benchmarks Track.
The Learnable Typewriter: A Generative Approach to Text Line Analysis
Siglidis, I. (2024). " The Learnable Typewriter: A Generative Approach to Text Line Analysis " ICDAR.
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Wu S. (2024). "StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translationy" CVPR.
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Astruc G. (2024). "OmniSat: Self-Supervised Modality Fusion for Earth Observation" ECCV.
Talks
Weakly Supervised Learning in Artworks
GDR ISIS at Journée Supervision faible ou apprentissage non supervisé pour l’analyse d’images et de vidéos, Paris
PhD Defense
PhD Defense at , Télécom Paris - Palaiseau