Constructing supervised machine learning models for real-world video analysis require
substantial labeled data, which is costly to acquire due to scarce domain expertise and …

Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …

Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of
generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable …

With the rapid development of computer hardware and big data processing technology, the
bottleneck of intelligent analysis of massive data has changed from" how to deal with …

The accurate identification of extreme weather events (EWEs), particularly cyclones, has
become increasingly crucial due to the intensifying impacts of climate change. In the Indian …

Threshold based segmentation method is widely used because of its simplicity, high
efficiency and easy implementation. However, as the number of thresholds increases, the …

Unsupervised domain adaptation (UDA) enables knowledge transfer from a labeled source
domain to an unlabeled target domain. However, UDA performance often relies heavily on …

Video forecasting aims to predict future video frames based on past observed video frames,
and unlike object recognition or object classification, it does not require manual labeling of …

The prevention of crime is a multifaceted challenge with legal, political, and cultural
implications. Surveillance technologies play a crucial role in assisting law enforcement and …

We present CUPID: a visualization method for the contextual understanding of prompt‐
conditioned image distributions. CUPID targets the visual analysis of distributions produced …