Hugo Gangloff

21 papers B 2C 3Misc 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A new class of Markov random fields enabling lightweight sampling.
CoRR
Jean-Baptiste Courbot, Hugo Gangloff, Bruno Colicchio
2025 — conf
Gaussian Unit-simplex Markov random fields as a fast proxy for MRF sampling.
SSP
Jean-Baptiste Courbot, Hugo Gangloff
2024 J jnl
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment.
CoRR
Inass Soukarieh, Gerhard Hessler, Hervé Minoux, Marcel Mohr, K. Friedemann Schmidt, Jan Wenzel, Pierre Barbillon, Hugo Gangloff, Pierre Gloaguen
2024 J jnl
Leveraging Satellite Data With Machine and Deep Learning Techniques for Corn Yield and Price Forecasting.
IEEE Trans. Geosci. Remote. Sens.
Florian Teste, Hugo Gangloff, Mathilde Chen, Philippe Ciais, David Makowski
2024 J jnl
Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas.
IEEE Trans. Geosci. Remote. Sens.
Getachew Workineh Gella, Hugo Gangloff, Lorenz Wendt, Dirk Tiede, Stefan Lang
2024 J jnl
jinns: a JAX Library for Physics-Informed Neural Networks.
CoRR
Hugo Gangloff, Nicolas Jouvin
2023 J jnl
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data.
Comput. Stat. Data Anal.
Hugo Gangloff, Katherine Morales, Yohan Petetin
2023 C conf
Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals.
IGARSS
Tanya Singh, Hugo Gangloff, Minh-Tan Pham
2023 J jnl
Object counting from aerial remote sensing images: application to wildlife and marine mammals.
CoRR
Tanya Singh, Hugo Gangloff, Minh-Tan Pham
2023 B conf
Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior.
ICIP
Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
2023 C conf
Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas.
IGARSS
Getachew Workineh Gella, Hugo Gangloff, Lorenz Wendt, Dirk Tiede, Stefan Lang
2023 C conf
Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder.
IGARSS
Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre
2023 J jnl
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder.
CoRR
Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre
2022 B conf
Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection.
ICPR
Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
2021 — conf
A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation.
MLSP
Hugo Gangloff, Katherine Morales, Yohan Petetin
2021 Misc conf
Unsupervised Image Segmentation with Spatial Triplet Markov Trees.
ICASSP
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
2021 J jnl
Unsupervised image segmentation with Gaussian Pairwise Markov Fields.
Comput. Stat. Data Anal.
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
2020 — conf
Improved centerline tracking for new descriptors of atherosclerotic aortas.
IPTA
Hugo Gangloff, Emmanuel Monfrini, Mohamed Zied Ghariani, Mickaël Ohana, Christophe Collet, Nabil Chakfé
2020 — —
Probabilistic models for image processing: applications in vascular surgery. (Modèles probabilistes pour le traitement d'image: application à la chirurgie vasculaire).
Hugo Gangloff
2020 — conf
Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images.
IPTA
Hugo Gangloff, Emmanuel Monfrini, Christophe Collet, Nabil Chakfé
2018 J jnl
Assessing the segmentation performance of pairwise and triplet Markov models.
Signal Process.
Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski