Deva Ramanan

Professor at Carnegie Mellon University

Ramanan helped develop deformable part models, which recognized objects by learning how components such as a person's head, torso, and limbs could appear in different arrangements. The approach defined object detection before deep learning and influenced later work on pose, tracking, and video understanding.