Research Intersts

Exploring how psychological and neuroscientific knowledge can advance machine vision models presents a promising research direction. Our group is interested in investigating machine models that not only mirror biological systems but also provide tangible advantages for applications in the real world.

Brain decoding techniques offer a novel approach to accessing and interpreting the mental processes of perception and cognition. These methods allow researchers to decode the complex mental processes without the need for individuals to verbally articulate their thoughts, thus often referred to as “neural mind reading.”

A key characteristic of human visual perception is its robustness. Despite variations in the external environment, our internal visual representations remain stable and consistent. What mechanisms enable this robustness, and how can they be understood? Answering this question is also crucial for developing reliable machine vision systems.

Exploring how simple sensory experiences turn into complex thinking is a fascinating topic for vision science. Researchers investigate how people make sense of object relationships, interpret and express emotions through facial expressions, navigate busy streets and sign reading, or appreciate the aesthetic value in art and nature.