Image Quality Assessment (IQA) is a method that standardizes the evaluation criteria for analyzing different aspects of images, including structural information, visual content, etc. To improve this method, various subjective studies have adopted comparative settings. In recent studies, researchers have explored large multimodal models (LMMs) to expand IQA from giving a scalar score to open-ended…

Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio, temperature, and robot behaviors, have been the focus of recent research in artificial multimodal representation learning. Nevertheless, the tactile modality is still mostly unexplored when it comes to multimodal…

Google researchers address the challenges of achieving a comprehensive understanding of diverse video content by introducing a novel encoder model, VideoPrism. Existing models in video understanding have struggled with various tasks with complex systems and motion-centric reasoning and demonstrated poor performance across different benchmarks. The researchers aimed to develop a general-purpose video encoder that can…