Generating an image/video caption has always been a fundamental problem of Artificial
Intelligence, which is usually performed using the potential of Deep Learning Methods …

Instructional videos are a common source for learning text-video or even multimodal
representations by leveraging subtitles extracted with automatic speech recognition systems …

Visual art (VA) recommendation is complex, as it has to consider the interests of users (eg
museum visitors) and other stakeholders (eg museum curators). We study how to effectively …

Retrieval augmented generation (RAG) systems combine the strengths of language
generation and information retrieval to power many real-world applications like chatbots …

Patch embedding has been a significant advancement in Transformer-based models,
particularly the Vision Transformer (ViT), as it enables handling larger image sizes and …

Conventionally, evaluation for the diagnosis of Autism spectrum disorder is done by a
trained specialist through questionnaire-based formal assessments and by observation of …

If you ask a human to describe an image, they might do so in a thousand different ways.
Each of these descriptions depends not only on the image but also on a rich tapestry of …

Deep learning is increasingly relevant in our daily lives, as it simplifies tedious tasks and
enhances quality of life across various domains such as entertainment, learning, automatic …

Recent advances in machine learning have demonstrated that multi-modal pre-training can
improve automatic speech recognition (ASR) performance compared to randomly initialized …