Deva Ramanan
E1020188
Deva Ramanan is a computer vision researcher known for his work on object detection, human pose estimation, and machine learning in visual recognition.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Deva Ramanan canonical | 1 |
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
computer vision researcher ⓘ person ⓘ |
| affiliation | Robotics Institute, Carnegie Mellon University NERFINISHED ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| doctoralThesisTopic | object detection in images ⓘ |
| educatedAt |
Cornell University
ⓘ
University of California, Berkeley ⓘ |
| employer | Carnegie Mellon University NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computer vision ⓘ machine learning ⓘ pattern recognition ⓘ |
| gender | male ⓘ |
| hasAcademicAdvisor | Jitendra Malik NERFINISHED ⓘ |
| hasHIndex | high citation impact in computer vision research ⓘ |
| hasPublishedIn |
European Conference on Computer Vision
NERFINISHED
ⓘ
IEEE Conference on Computer Vision and Pattern Recognition NERFINISHED ⓘ IEEE Transactions on Pattern Analysis and Machine Intelligence NERFINISHED ⓘ International Conference on Computer Vision NERFINISHED ⓘ |
| knownFor |
deformable part models for object detection
ⓘ
human detection in images and video ⓘ human pose estimation ⓘ object detection ⓘ part-based models in computer vision ⓘ visual recognition ⓘ |
| language | English ⓘ |
| notableWork |
research on deformable part models for object detection
ⓘ
research on human pose estimation in images and video ⓘ work on part-based models for visual recognition ⓘ |
| occupation |
professor
ⓘ
researcher ⓘ |
| researchInterest |
deep learning for vision
ⓘ
human pose estimation ⓘ object detection ⓘ scene understanding ⓘ structured prediction in vision ⓘ |
| role | faculty member at Carnegie Mellon University ⓘ |
| workLocation | Pittsburgh NERFINISHED ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.