Sam S. Tsai - Concepedia

Author

Sam S. Tsai

Stanford University ORCID

Also Known As

SAM S. TSAI, Sam S Tsai, Sam S. Tsai, Sam Tsai, Tsai, Sam

Publications

3.3K

Citations

H-Index

Concepts

All Affiliations

Stanford University Nokia (United States)Palo Alto Research Center Qualcomm (United States)Technical University of Munich

About

Sam S. Tsai is an author at Stanford University specializing in engineering, image analysis, and machine vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	27	38	3.1K
2	Business	2	2	93
3	Language Studies	1	1	85
4	Natural Sciences	1	1	39
5	Social Sciences	1	1	398

Sam S. Tsai

Publications

3.2K

Citations

H-Index

Page 1

	Year	Citations
Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions Huizhong Chen, Sam S. Tsai, Georg Schroth, Icdar Competition DatasetMachine VisionImage AnalysisEngineeringOptical Character Recognition	2011	430
City-scale landmark identification on mobile devices David M. Chen, Georges Baatz, Kevin Köser, Location InformationEngineeringSmart CityMobile DevicesLandmark Identification	2011	398
Mobile Visual Search Bernd Girod, Vijay Chandrasekhar, David Chen, IEEE Signal Processing Magazine Image AnalysisInformation RetrievalGlobal Positioning SystemMachine VisionImage Retrieval	2011	284
CHoG: Compressed histogram of gradients A low bit-rate feature descriptor Vijay Chandrasekhar, Gabriel Takacs, David Chen, 2009 IEEE Conference on Computer Vision and Pattern Recognition EngineeringFeature DetectionMachine LearningVisual CorrespondencesChog Descriptor	2009	255
Compressed Histogram of Gradients: A Low-Bitrate Descriptor Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, International Journal of Computer Vision Lossy CompressionImage AnalysisMachine VisionEngineeringImage Compression	2011	146
The stanford mobile visual search data set Vijay Chandrasekhar, David M. Chen, Sam S. Tsai, Computer Vision LiteratureMachine VisionInformation RetrievalData ScienceImage Analysis	2011	134
Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, Real-time TrackingMachine VisionImage AnalysisApproximate RgtEngineering	2010	132
Tree Histogram Coding for Mobile Image Matching David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Histogram CodingMachine VisionImage AnalysisData ScienceInformation Retrieval	2009	101
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries Dmitrii Marin, Zijian He, Péter Vajda, Scene AnalysisEngineeringMachine LearningNatural Language ProcessingCritical Component	2019	99
Transform coding of image feature descriptors Vijay Chandrasekhar, Gabriel Takacs, David Chen, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE	2008	95

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