13 citations · 13 across the 7 of their papers we have counts for
8 papers
Exploring Polarimetric Properties Preservation during Reconstruction of PolSAR images using Complex-valued Convolutional Neural Networks
Quentin Gabot, Joana Frontera-Pons, Jérémy Fix +2
The inherently complex-valued nature of Polarimetric SAR data necessitates using specialized algorithms capable of directly processing complex-valued representations. However, this…
Shift-Equivariant Complex-Valued Convolutional Neural Networks
Quentin Gabot, Teck-Yian Lim, Jérémy Fix +3
Convolutional neural networks have shown remarkable performance in recent years on various computer vision problems. However, the traditional convolutional neural network architect…
Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders
Y A Rouzoumka, E Terreaux, C Morisseau +2
This paper presents a novel approach to radar target detection using Variational AutoEncoders (VAEs). Known for their ability to learn complex distributions and identify out-ofdist…
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs
Max Muzeau, Joana Frontera-Pons, Chengfang Ren +1
Due to its all-weather and day-and-night capabilities, Synthetic Aperture Radar imagery is essential for various applications such as disaster management, earth monitoring, change…
Neural network scoring for efficient computing
Hugo Waltsburger, Erwan Libessart, Chengfang Ren +2
Much work has been dedicated to estimating and optimizing workloads in high-performance computing (HPC) and deep learning. However, researchers have typically relied on few metrics…
Theory and Implementation of Complex-Valued Neural Networks
Jose Agustin Barrachina, Chengfang Ren, Gilles Vieillard +2
This work explains in detail the theory behind Complex-Valued Neural Network (CVNN), including Wirtinger calculus, complex backpropagation, and basic modules such as complex layers…
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks
José Agustin Barrachina, Chengfang Ren, Christèle Morisseau +2
In this paper, we investigated the semantic segmentation of Polarimetric Synthetic Aperture Radar (PolSAR) using Complex-Valued Neural Network (CVNN). Although the coherency matrix…
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging
Max Muzeau, Chengfang Ren, Sébastien Angelliaume +2
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviat…