2015
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, Trevor J. Darrell
38k
cites
Trevor J. Darrell
Faculty
Advanced Image and Video Retrieval TechniquesDomain Adaptation and Few-Shot LearningHuman Pose and Action RecognitionMultimodal Machine Learning Applications
About
Trevor J. Darrell is a Computer Science scholar at University of California, Berkeley. Research spans Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition. 826 works, 219k citations (h-index 147).
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Affiliation on publications · University of California, Berkeley
Most-cited work
2014
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Ross Girshick, Jeff Donahue, Trevor J. Darrell, Jitendra Malik
32k
cites
2016
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer, Jonathan Long, Trevor J. Darrell
IEEE Transactions on Pattern Analysis and Machine IntelligenceTop-listed
11k
cites