Over the past decade, the dominance of deep learning has prevailed across various
domains of artificial intelligence, including natural language processing, computer vision …

Abstract Visual Instruction Tuning represents a novel learning paradigm involving the fine-
tuning of pre-trained language models using task-specific instructions. This paradigm shows …

Recent text-to-image (T2I) diffusion models have revolutionized image editing by
empowering users to control outcomes using natural language. However the ease of image …

With the advancement of artificial intelligence (AI) technology, group-level emotion
recognition (GER) has emerged as an important area in analyzing human behavior. Early …

Estimating the Most Important Person (MIP) in any social event setup is a challenging
problem mainly due to contextual complexity and scarcity of labeled data. Moreover, the …

In the domain of computer vision, object detection serves as a fundamental perceptual task
with critical implications. Traditional object detection frameworks are limited by their inability …

Emotion recognition through facial expressions remains a long-standing research pursuit,
yet the challenges persist, particularly in dynamic real-world scenarios. In-the-wild datasets …

There are complex emotional interactions between individuals in group and between group
and individuals. Although existing methods for group emotion recognition (GER) made quite …

Group-level emotion recognition (GER) has received attention from researchers to identify
an overall emotion in a multi-person scene. To address attention issue on group dynamic in …