research
∙
06/03/2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
Atmospheric Extreme Events (EEs) cause severe damages to human societies...
share
research
∙
03/26/2021
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives
Randomization-based Machine Learning methods for prediction are currentl...
research
∙
07/14/2020
Towards Dense People Detection with Deep Learning and Depth images
This paper proposes a DNN-based system that detects multiple people from...
research
∙
06/13/2020
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information
Human actions recognition is a fundamental task in artificial vision, th...
research
∙
06/01/2020
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
In this paper we propose a method based on deep learning that detects mu...
research
∙
11/19/2018
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
We present Deep Shape-from-Template (DeepSfT), a novel Deep Neural Netwo...
research
∙
10/11/2017