Evan Shelhamer - Concepedia

Author

Evan Shelhamer

University of California, Berkeley ORCID

Also Known As

Evan Shelhamer, Long, Jonathan, Shelhamer, Evan

Publications

70.4K

Citations

H-Index

Concepts

All Affiliations

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

About

Evan Shelhamer is an author at University of California, Berkeley specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	21	33K
2	Computer Science	16	18	32.7K
3	Social Sciences	2	2	111
4	Cognitive Science	2	2	111
5	Computer Engineering	1	1	1K

Evan Shelhamer

Publications

69.5K

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 Networks for Semantic Segmentation J. D. Long, Evan Shelhamer, Trevor Darrell arXiv (Cornell University) Convolutional Neural NetworkMachine VisionImage AnalysisData ScienceMachine Learning	2014	2.8K
Deep Layer Aggregation Fisher Yu, Dequan Wang, Evan Shelhamer, Convolutional Neural NetworkEngineeringMachine LearningData AggregationDeep Layer Aggregation	2018	1.5K
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, arXiv (Cornell University) Convolutional Neural NetworkDeep Neural NetworksDeep Learning PrimitivesMachine LearningEngineering	2014	1K
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang, Evan Shelhamer, Shaoteng Liu, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningEntropy Minimization	2020	284
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, arXiv (Cornell University)	2021	205

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