Visual Signal

Visual signal processing research focuses on understanding how visual information is encoded, processed, and utilized by both biological and artificial systems. Current efforts concentrate on improving the efficiency and robustness of models like diffusion models and transformers for tasks such as image generation, video question answering, and audio-visual segmentation, often leveraging techniques like attention mechanisms and Fourier transforms for signal decomposition and analysis. These advancements have implications for various fields, including medical imaging analysis, human-robot interaction, and the development of more sophisticated AI systems capable of interpreting and generating realistic visual content. Furthermore, research is actively exploring the connection between brain activity and visual signals to better understand the human visual system.