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2020 – today
- 2024
[j5]Getachew Workineh Gella
, Hugo Gangloff, Lorenz Wendt, Dirk Tiede, Stefan Lang:
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. 62: 1-18 (2024)- [j4]Florian Teste, Hugo Gangloff, Mathilde Chen, Philippe Ciais, David Makowski:
Leveraging Satellite Data With Machine and Deep Learning Techniques for Corn Yield and Price Forecasting. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [i3]Inass Soukarieh, Gerhard Hessler, Hervé Minoux, Marcel Mohr, K. Friedemann Schmidt, Jan Wenzel, Pierre Barbillon, Hugo Gangloff, Pierre Gloaguen:
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment. CoRR abs/2408.14266 (2024) - 2023
- [j3]Hugo Gangloff, Katherine Morales, Yohan Petetin:
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data. Comput. Stat. Data Anal. 180: 107663 (2023) - [c9]Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre:
Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. ICIP 2023: 1620-1624 - [c8]Getachew Workineh Gella, Hugo Gangloff, Lorenz Wendt, Dirk Tiede, Stefan Lang:
Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas. IGARSS 2023: 1162-1165 - [c7]Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre:
Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder. IGARSS 2023: 5559-5562 - [c6]Tanya Singh, Hugo Gangloff, Minh-Tan Pham:
Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals. IGARSS 2023: 6580-6583 - [i2]Tanya Singh, Hugo Gangloff, Minh-Tan Pham:
Object counting from aerial remote sensing images: application to wildlife and marine mammals. CoRR abs/2306.10439 (2023) - [i1]Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre:
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder. CoRR abs/2307.06720 (2023) - 2022
- [c5]Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre:
Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection. ICPR 2022: 435-441 - 2021
- [j2]Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet:
Unsupervised image segmentation with Gaussian Pairwise Markov Fields. Comput. Stat. Data Anal. 158: 107178 (2021) - [c4]Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet:
Unsupervised Image Segmentation with Spatial Triplet Markov Trees. ICASSP 2021: 1790-1794 - [c3]Hugo Gangloff, Katherine Morales, Yohan Petetin:
A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation. MLSP 2021: 1-6 - 2020
- [b1]Hugo Gangloff:
Probabilistic models for image processing: applications in vascular surgery. (Modèles probabilistes pour le traitement d'image: application à la chirurgie vasculaire). University of Strasbourg, France, 2020 - [c2]Hugo Gangloff, Emmanuel Monfrini, Christophe Collet, Nabil Chakfé:
Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images. IPTA 2020: 1-6 - [c1]Hugo Gangloff, Emmanuel Monfrini, Mohamed Zied Ghariani, Mickaël Ohana, Christophe Collet, Nabil Chakfé:
Improved centerline tracking for new descriptors of atherosclerotic aortas. IPTA 2020: 1-6
2010 – 2019
- 2018
- [j1]Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski:
Assessing the segmentation performance of pairwise and triplet Markov models. Signal Process. 145: 183-192 (2018)
Coauthor Index
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