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.

This paper introduces a multilingual, multispeaker dataset composed of synthetic and natural speech, designed to foster research and benchmarking in synthetic speech detection.

Code for Word-Class Embeddings (WCEs), a form of supervised embeddings especially suited for multiclass text classification.

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

A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data.