Concept Attribute Learning (Position Filled)

The objective of this project is to use vision and language data to learn attributes of visual concepts. For example, one could describe the attributes of an 'apple' by its color, shape, and function. This research project will study how to learn these relations from images and videos, as well as explore the potential applications. 

Lab: Computer Vision Lab 

Direct Supervisor: Carl Vondrick

Position Dates: Summer 2022

Hours per Week: 20

Number of positions: 2

Position type: Hybrid (both remote and on-site)

Qualifications: Computer Vision, Machine Learning 

Eligibility: Junior, Senior, Master's

SEAS students only: Yes

Carl Vondrick, [email protected]