Jonathan Long - Concepedia

Author

Jonathan Long

University of California, Berkeley

Also Known As

J. Long, Jonathan L. Long, Jonathan Long, Long, Jonathan, Shelhamer, Evan

Publications

63.8K

Citations

H-Index

Concepts

All Affiliations

University of California, Berkeley Berkeley College Google (United States)

About

Jonathan Long is an author at University of California, Berkeley specializing in computer vision, image analysis, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	26.8K
2	Computer Science	7	7	26.8K
3	Health Sciences	1	1	18
4	Medicine	1	1	11
5	Biostatistics	1	1	11

Jonathan Long

Publications

63K

Citations

H-Index

Page 1

	Year	Citations
Fully convolutional networks for semantic segmentation Jonathan Long, Evan Shelhamer, Trevor Darrell	2015	36.2K
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
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
Fully Convolutional Multi-Class Multiple Instance Learning Deepak Pathak, Evan Shelhamer, Jonathan Long, arXiv (Cornell University) Instance-based LearningMultiple Instance LearningMachine VisionMachine LearningData Science	2014	267
Do Convnets Learn Correspondence? Jonathan Long, Ning Zhang, Trevor Darrell arXiv (Cornell University) Geometric LearningConvolutional Neural NetworkMachine VisionImage AnalysisMachine Learning	2014	160
Large scale visual recognition through adaptation using joint representation and multiple instance learning Judy Hoffman, Deepak Pathak, Eric Tzeng, Convolutional Neural NetworkMultiple Instance LearningEngineeringMachine LearningImage Classification	2016	21
Practical 3-D Object detection using category and instance-level appearance models Kate Saenko, Sergey Karayev, Yangqing Jia, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems EngineeringFeature DetectionBiometricsField RoboticsMotor Control	2011	18
Medical validation and CBIR of spine x-ray images over the Internet Sameer Antani, Jing Cheng, Jonathan Long, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE EngineeringImage RetrievalDiagnosisImage DatabaseSurgery	2006	11

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