ADR Awareness Centre

In this paper, the authors propose a lightweight neural network architecture that extracts and performs the analysis of multimodal information using the same audio and visual networks across multiple temporal segments.

This lecture explores the concepts of Data Storytelling and the Big Data value chain in the context of Natural Disaster Management.

A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.

pygrank is an open source framework to define, run and evaluate node ranking algorithms.

InDistill enchances the effectiveness of the Knowledge Distillation procedure by leveraging the properties of channel pruning to both reduce the capacity gap between the models and retain the information geometry.

The dataset provides training and valiation data for classifying images by time of day and season (time of year). The images are taken from the Skyfinder dataset, containing webcam images along with timestamps and geolocation.