In this short seminar, Giulia D'Angelo will rehearse her talk for the
Neuromorphic vision workshop at ECCV 2024. She will also briefly introduce her
project EveNt DrivEn Active Vision for Object peRception (ENDEAVOR) (a Marie
Curie-Sklodowska Fellowship) that she started at our department.

Vision is an exploratory behaviour that relies heavily on the dynamic
relationship between actions and sensory feedback. For any agent—whether
animal or robotic—processing visual sensory input efficiently is crucial for
understanding and interacting with its environment. The key challenge lies in
selectively filtering relevant information from the constant stream of complex
sensory data. This process, known as selective attention, is also driven by the
intricate interplay between bottom-up and top-down mechanisms, which together
organize and interpret visual scenes. I will explore how biologically plausible
models for visual attention can enhance robotic interaction with the environment
trying to understand the role of neuromorphic hardware in facilitating active
vision and its limitations.