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Trevor Darrell
Visual Recognition Algorithms
Perception-based Human Computer Interfaces
Vision Interface Group Research
Computer Vision
Machine Learning
8010 Berkeley Way West
About
Professor Darrell is on the faculty of the CS Division at UC Berkeley. His group develops algorithms to enable visual recognition across a variety of platforms and applications. His interests include computer vision, machine learning, computer graphics, and perception-based human computer interfaces. Prof. Darrell was on the faculty of the MIT EECS department from 1999-2008, where he directed the Vision Interface Group. He was a member of the research staff at Interval Research Corporation from 1996-1999, and received the S.M. and Ph.D. degrees from MIT in 1992 and 1996, respectively. He obtained the B.S.E. degree from the University of Pennsylvania in 1988, having started his career in computer vision as an undergraduate researcher in Ruzena Bajcsy’s GRASP lab.
Research Performance Summary
1988-2025
Active Research Span
First Recorded Paper
Pyramid based depth from focus
Year:
1988
Citations:
240
Venue:
Proceedings CVPR'88: The Computer Society Conference on Computer Vision and
Latest Recorded Paper
Discovering Divergent Representations between Text-to-Image Models
Year:
2025
Citations:
0
Venue:
Proceedings of the IEEE/CVF International Conference on Computer Vision
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Darrell
Wang
Research Impact by Period
Papers
59
Citations
566
Avg. Citations / Paper
9.6
H-Index
12
Papers
219
Citations
36834
Avg. Citations / Paper
168.2
H-Index
76
Papers
163
Citations
152327
Avg. Citations / Paper
934.5
H-Index
94
Papers
107
Citations
95525
Avg. Citations / Paper
892.8
H-Index
55
Papers
98
Citations
12291
Avg. Citations / Paper
125.4
H-Index
44
Papers
85
Citations
10031
Avg. Citations / Paper
118
H-Index
37
Papers
34
Citations
9967
Avg. Citations / Paper
293.1
H-Index
19
Papers
28
Citations
1755
Avg. Citations / Paper
62.7
H-Index
13
Papers
4
Citations
406
Avg. Citations / Paper
101.5
H-Index
2
Contact and Professional Links
Detected Research Keywords
Convolutional Neural Networks
Vision Language Models
Fully Convolutional Networks
Convolutional Networks Semantic
Networks Semantic Segmentation
Visual Question Answering
Rich Feature Hierarchies
Feature Hierarchies Accurate
Hierarchies Accurate Object
Accurate Object Detection