Vision transformers are emerging as a powerful tool to solve computer vision problems.
Recent techniques have also proven the efficacy of transformers beyond the image domain …

Action Recognition aims to understand human behavior and predict a label for each action.
Recently, Vision Transformer (ViT) has achieved remarkable performance on action …

The Transformer model, initially achieving significant success in the field of natural language
processing, has recently shown great potential in the application of tactile perception. This …

We live in a world filled with never-ending streams of multimodal information. As a more
natural recording of the real scenario, long form audio-visual videos are expected as an …

Social Relation Recognition is an important part of Video Understanding, providing insights
into the information that videos convey. Most previous works mainly focused on graph …

As talking takes a large proportion of human lives, it is necessary to perform deeper
understanding of human conversations. Speaking style recognition is aimed at recognizing …

The existing salient object detection in optical remote sensing images methods mostly
employ the same strategy to handle features at different levels without fully considering the …

To support the replication of" MMSF: A Multimodal Sentiment-Fused Method to Recognize
Video Speaking Style", which was presented at ICMR'23, this companion paper provides the …

With advancements in computer vision and deep learning, video-based human action
recognition (HAR) has become practical. However, due to the complexity of the computation …

This study aims to detect pre-crime events in videos focusing on shoplifting. Our work
proposes a novel approach of augmenting human pose information and emotion information …