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Abhinav GuptaProfessor · Carnegie Mellon UniversityFounder↗
Researcher · Academic
Deva Ramanan
Carnegie Mellon UniversityProfessor
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.[1] The approach defined object detection before deep learning and influenced later work on pose, tracking, and video understanding.
Career & education
Current roleCarnegie Mellon University2015-presentProfessor
Carnegie Mellon University2015-presentEducation
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations145,726As of Nov 1, '26
citations+2,069Since last snapshot, Oct 1, '26
Selected contributions
Microsoft COCO: Common Objects in Context
With Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona and others ·A dataset of everyday scenes with individual objects labeled and outlined.
References
- Object Detection with Discriminatively Trained Part-Based Modelscs.cmu.edu
Original paper hosted by Ramanan credits him as coauthor and describes objects as collections of parts with learned appearance and deformable spatial relationships, including person detection.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 7, 2026 · Checked for accuracy and new information.
