The advent of artificial intelligence (AI) has significantly impacted the traditional judicial
industry. Moreover, recently, with the development of the concept of AI-generated content …

Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …

Automated generation of 3D human motions from text is a challenging problem. The
generated motions are expected to be sufficiently diverse to explore the text-grounded …

Inspired by the strong ties between vision and language, the two intimate human sensing
and communication modalities, our paper aims to explore the generation of 3D human full …

We introduce NExT-QA, a rigorously designed video question answering (VideoQA)
benchmark to advance video understanding from describing to explaining the temporal …

Most video captioning models are designed to process short video clips of few seconds and
output text describing low-level visual concepts (eg objects scenes atomic actions). However …

We present AIST++, a new multi-modal dataset of 3D dance motion and music, along with
FACT, a Full-Attention Cross-modal Transformer network for generating 3D dance motion …

Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

The objective of this paper is an automatic Audio Description (AD) model that ingests movies
and outputs AD in text form. Generating high-quality movie AD is challenging due to the …

The quest for fully autonomous vehicles (AVs) capable of navigating complex real-world
scenarios with human-like understanding and responsiveness. In this paper, we introduce …