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07/17/2023
Riesz feature representation: scale equivariant scattering network for classification tasks
Scattering networks yield powerful and robust hierarchical image descrip...
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01/23/2023
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation
We propose an incremental improvement to Fully Convolutional Data Descri...
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11/07/2022
Moving Frame Net: SE(3)-Equivariant Network for Volumes
Equivariance of neural networks to transformations helps to improve thei...
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10/10/2022
Scale Equivariant U-Net
In neural networks, the property of being equivariant to transformations...
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07/18/2022
Fully trainable Gaussian derivative convolutional layer
The Gaussian kernel and its derivatives have already been employed for C...
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07/13/2022
MorphoActivation: Generalizing ReLU activation function by mathematical morphology
This paper analyses both nonlinear activation functions and spatial max-...
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05/12/2022
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures
Near out-of-distribution detection (OOD) aims at discriminating semantic...
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08/22/2021
ICLR 2021 Challenge for Computational Geometry Topology: Design and Results
This paper presents the computational challenge on differential geometry...
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06/14/2021
Learning Deep Morphological Networks with Neural Architecture Search
Deep Neural Networks (DNNs) are generated by sequentially performing lin...
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02/19/2021
Going beyond p-convolutions to learn grayscale morphological operators
Integrating mathematical morphology operations within deep neural networ...
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10/02/2020
Morphological segmentation of hyperspectral images
The present paper develops a general methodology for the morphological s...
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07/31/2020
Fast computation of all pairs of geodesic distances
Computing an array of all pairs of geodesic distances between the pixels...
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10/28/2019
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies
We propose a new computer aided detection framework for tumours acquired...
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03/20/2019
Part-based approximations for morphological operators using asymmetric auto-encoders
This paper addresses the issue of building a part-based representation o...
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03/19/2019
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks
Following recent advances in morphological neural networks, we propose t...
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05/30/2016
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings
We propose a novel approach for pixel classification in hyperspectral im...
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02/09/2016
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images
A general framework of spatio-spectral segmentation for multi-spectral i...
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02/02/2016
On distances, paths and connections for hyperspectral image segmentation
The present paper introduces the η and η connections in order to add reg...
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12/11/2012