Open-vocabulary models like CLIP achieve high accuracy across many image classification
tasks. However, there are still settings where their zero-shot performance is far from optimal …

Visual understanding is a research area that bridges the gap between computer vision and
natural language processing. Image captioning is a visual understanding task in which …

Mobile UI understanding is important for enabling various interaction tasks such as UI
automation and accessibility. Previous mobile UI modeling often depends on the view …

Advances in the field of visual-language contrastive learning have made it possible for many
downstream applications to be carried out efficiently and accurately by simply taking the dot …

Most approaches to (CMR) focus either on object-centric datasets, meaning that each
document depicts or describes a single object, or on scene-centric datasets, meaning that …

With the advances in large scale vision-and-language models (VLMs) it is of interest to
assess their performance on various visual reasoning tasks such as counting, referring …

This paper pursues the insight that language models naturally enable an intelligent variation
operator similar in spirit to evolutionary crossover. In particular, language models of …

In recent years, there has been a growing interest in remote sensing image–text cross-
modal retrieval due to the rapid development of space information technology and the …

In this work, we propose an efficient Video-Language Alignment via Frame-Prompting and
Distilling (VLAP) network. Our VLAP model addresses both efficient frame sampling and …

The integration of artificial intelligence (AI) in medical diagnostics represents a significant
advancement in managing upper gastrointestinal (GI) cancer, which is a major cause of …