Scene understanding by bottom-up top-down visual routines | Shimon Ullman

Thursday, April 08, 2021 at 4:00pm to 5:00pm

Virtual Event

Shimon Ullman

Title: Scene understanding by bottom-up top-down visual routines

Abstract: We will present a model in which meaningful understanding of scenes is obtained  from the combined processing of a bottom-up (BU) and top-down (TD) streams, interacting through a bi-directional communication between them. The BU stream creates a partial visual representation in the higher level parts of the model. The model then provides a top-down instruction to the TD stream, which guides the next cycle, to extract selected information and expand the existing representation.  By automatically selecting an appropriate sequence of TD instructions, the model successively extracts from the scene structures of interest in a goal-directed manner. We will show recent results of extracting complex scene structures, and the ability of the model to reach broad generalization to novel scene configurations.

Zoom link: https://mit.zoom.us/j/93324663073

Event Type

Conferences/Seminars/Lectures

Events By Interest

Academic

Events By Audience

Public, MIT Community, Students, Alumni, Faculty, Staff

Events By School

School of Science

Tags

neuroscience, McGovernMIT, CBMM

Department
McGovern Institute for Brain Research
Contact Email

nunziata@mit.edu

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