Hugo Gangloff

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Remote Sensing Images

Anomaly Detection

Top Venues

Comput. Stat. Data Anal.

Publications

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 (2024)
Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre
Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder. IGARSS (2023)
Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder. CoRR (2023)
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)
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 (2023)
Tanya Singh, Hugo Gangloff, Minh-Tan Pham
Object counting from aerial remote sensing images: application to wildlife and marine mammals. CoRR (2023)
Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. ICIP (2023)
Tanya Singh, Hugo Gangloff, Minh-Tan Pham
Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals. IGARSS (2023)
Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection. ICPR (2022)
Hugo Gangloff, Katherine Morales, Yohan Petetin
A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation. MLSP (2021)
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
Unsupervised Image Segmentation with Spatial Triplet Markov Trees. ICASSP (2021)
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
Unsupervised image segmentation with Gaussian Pairwise Markov Fields. Comput. Stat. Data Anal. 158 (2021)
Hugo Gangloff, Emmanuel Monfrini, Christophe Collet, Nabil Chakfé
Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images. IPTA (2020)
Hugo Gangloff, Emmanuel Monfrini, Mohamed Zied Ghariani, Mickaël Ohana, Christophe Collet, Nabil Chakfé
Improved centerline tracking for new descriptors of atherosclerotic aortas. IPTA (2020)
Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski
Assessing the segmentation performance of pairwise and triplet Markov models. Signal Process. 145 (2018)