In recent years, considerable progress on the task of text-video retrieval has been achieved
by leveraging large-scale pretraining on visual and audio datasets to construct powerful …

This paper advances contextual image understanding within perspective-aware Ai (PAi), an
emerging paradigm in human–computer interaction that enables users to perceive and …

As vision processing and natural language processing continue to advance, there is
increasing interest in multimodal applications, such as image retrieval, caption generation …

NeSy4VRD is a multifaceted resource designed to support the development of
neurosymbolic AI (NeSy) research. NeSy4VRD re-establishes public access to the images …

Generating novel voices in speech synthesis is a challenging task with potential for creating
versatile voices that are needed in entertainment and research. One of the primary obstacles …

The paper introduces a pioneering work that explores the fusion of computer vision and
natural language processing for narrative generation. We propose an innovative …

Scene graph generation is an important approach in the field of visual scene understanding.
Several current studies have aimed at how to extract more robust relational features …

Visual question answering (VQA) is a typical multimodal task that necessitates a
combination of computer vision and natural language processing expertise. The …

Ibn Sina, a philosopher of 11th-century Persia, wrote of aFloating Man'. This man is floating
through a void, without the use of his sight or touch or any of the senses which make us …

A simple technical report about the Foundational Few-Shot Object Detection Challenge Page 1
Abstract A technical report on our using method on the Foundational Few Shot Object Detection …