research
∙
07/04/2023
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Wasserstein distance (WD) and the associated optimal transport plan have...
share
research
∙
06/15/2022
Physically-admissible polarimetric data augmentation for road-scene analysis
Polarimetric imaging, along with deep learning, has shown improved perfo...
research
∙
06/08/2021
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
This paper addresses the problem of Unbalanced Optimal Transport (UOT) i...
research
∙
05/29/2021
From SIR to SEAIRD: a novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19
Common compartmental modeling for COVID-19 is based on a priori knowledg...
research
∙
06/24/2020
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression
Owing to their statistical properties, non-convex sparse regularizers ha...
research
∙
06/10/2020
Object Detection in the DCT Domain: is Luminance the Solution?
Object detection in images has reached unprecedented performances. The s...
research
∙
05/11/2020
Foreground-Background Ambient Sound Scene Separation
Ambient sound scenes typically comprise multiple short events occurring ...
research
∙
02/04/2020
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion
Generative Adversarial Networks (GANs) have proven successful for unsupe...
research
∙
11/02/2019
Pixel-wise Conditioning of Generative Adversarial Networks
Generative Adversarial Networks (GANs) have proven successful for unsupe...
research
∙
06/20/2019
Screening Sinkhorn Algorithm for Regularized Optimal Transport
We introduce in this paper a novel strategy for efficiently approximate ...
research
∙
05/15/2019
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation
Generative models have recently received renewed attention as a result o...
research
∙
04/16/2019
Fast object detection in compressed JPEG Images
Object detection in still images has drawn a lot of attention over past ...
research
∙
02/16/2019
Screening Rules for Lasso with Non-Convex Sparse Regularizers
Leveraging on the convexity of the Lasso problem , screening rules help ...
research
∙
12/12/2018
An efficient supervised dictionary learning method for audio signal recognition
Machine hearing or listening represents an emerging area. Conventional a...
research
∙
07/02/2015
DC Proximal Newton for Non-Convex Optimization Problems
We introduce a novel algorithm for solving learning problems where both ...
research
∙
06/27/2012
