Trevor Darrell - Concepedia

Author

Trevor Darrell

University of California, Berkeley ORCID

Also Known As

Abbeel, Pieter, Biamby, Giscard, Darrell, Trevor, Liu, Ming-Yu, Pinto, Lerrel, Rohrbach, Anna, Sebe, Nicu, T. Darrell, T.J. Darrell, Trevor Darrell

864

Publications

200.9K

Citations

137

H-Index

312

Concepts

All Affiliations

University of California, Berkeley Massachusetts Institute of Technology Berkeley College International Computer Science Institute University of Massachusetts Lowell

About

Trevor Darrell is an author at University of California, Berkeley specializing in engineering, computer vision, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	121	365	135K
2	Health Sciences	21	24	2.7K
3	Arts	10	10	966
4	Business	6	6	1.3K
5	Education	4	4	318

Trevor Darrell

442

Publications

189.7K

Citations

129

H-Index

Page 1

	Year	Citations
Fully convolutional networks for semantic segmentation Jonathan Long, Evan Shelhamer, Trevor Darrell	2015	36.2K
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick, Jeff Donahue, Trevor Darrell, Convolutional Neural NetworkEngineeringMachine LearningFeature DetectionRich Feature Hierarchies	2014	31.2K
Caffe Yangqing Jia, Evan Shelhamer, Jeff Donahue, Convolutional Neural NetworkMachine VisionMachine LearningData ScienceImage Analysis	2014	11.1K
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer, Jonathan Long, Trevor Darrell IEEE Transactions on Pattern Analysis and Machine Intelligence Convolutional Neural NetworkMachine VisionImage AnalysisData ScienceMachine Learning	2016	10.9K
A ConvNet for the 2020s Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	2022	6.3K
Long-term recurrent convolutional networks for visual recognition and description Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama,	2015	5.2K
Adversarial Discriminative Domain Adaptation Eric Tzeng, Judy Hoffman, Kate Saenko, Artificial IntelligenceMachine VisionMachine LearningData ScienceEngineering	2017	4.9K
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia, Evan Shelhamer, Jeff Donahue, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningMachine Learning ToolImage Analysis	2014	4.3K
Pfinder: real-time tracking of the human body Christopher R. Wren, A. Azarbayejani, Trevor Darrell, IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringHuman Pose Estimation3D Pose EstimationBiometricsWearable Technology	1997	4.1K
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue, Yangqing Jia, Oriol Vinyals, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningGeneric Visual RecognitionImage Classification	2013	3.6K

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