Mani Golparvar‐Fard

Author

Mani Golparvar‐Fard

University of Illinois Urbana-Champaign ORCID

Also Known As

Golparvar-Fard, Mani, M. Golparvar-Fard, Mani Golparvar-Fard, Mani Golparvar-fard, Mani Golparvar‐Fard

198

Publications

9.3K

Citations

H-Index

210

Concepts

All Affiliations

University of Illinois Urbana-Champaign Virginia Tech Columbia University ORCID Universidad del Norte

About

Mani Golparvar‐Fard is an author at University of Illinois Urbana-Champaign specializing in engineering, computer vision, and machine vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	41	91	7.1K
2	Health Sciences	4	4	272
3	Business	2	2	60
4	Education	1	1	19
5	Management	1	1	14

Mani Golparvar‐Fard

115

Publications

8.5K

Citations

H-Index

Page 1

	Year	Citations
Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques Mani Golparvar‐Fard, Jeffrey S. Bohn, Jochen Teizer, Automation in Construction Machine VisionImage AnalysisEngineeringMeasurementCalibration	2011	395
Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC-Based Building Information Models Mani Golparvar‐Fard, Feniosky Peña‐Mora, Silvio Savarese Journal of Computing in Civil Engineering Construction Project ManagementEngineeringScene ModelingBuilding TechnologySocial Sciences	2012	386
Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future Jun Yang, Man-Woo Park, Patricio A. Vela, Advanced Engineering Informatics Built EnvironmentBuilding PerformanceConstruction TechnologyMachine VisionImage Analysis	2015	284
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers Mani Golparvar‐Fard, Arsalan Heydarian, Juan Carlos Niebles Advanced Engineering Informatics Vision-based Action RecognitionMotion DetectionSupport Vector MachineMachine VisionMachine Learning	2013	282
Target-free approach for vision-based structural system identification using consumer-grade cameras Hyungchul Yoon, Hazem H. Elanwar, Hajin Choi, Structural Control and Health Monitoring Engineering3D Pose EstimationStructural SystemLocalizationStructural System Identification	2016	277
Application of D4AR – A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication Mani Golparvar‐Fard, Feniosky Peña‐Mora, Silvio Savarese Journal of Information Technology in Construction Construction Project ManagementEngineeringConstruction Automation3D Computer VisionImage Analysis	2009	276
Visualization of Construction Progress Monitoring with 4D Simulation Model Overlaid on Time-Lapsed Photographs Mani Golparvar‐Fard, Feniosky Peña‐Mora, Carlos A. Arboleda, Journal of Computing in Civil Engineering EngineeringProgress DeviationsComputer-aided DesignBuilding DesignSocial Sciences	2009	254
Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality Alex Albert, Matthew R. Hallowell, Brian M. Kleiner, Journal of Construction Engineering and Management	2014	252
Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections Andrey Dimitrov, Mani Golparvar‐Fard Advanced Engineering Informatics Automated MonitoringConstruction TechnologyMachine VisionImage AnalysisEngineering	2013	246
Appearance-based material classification for monitoring of operation-level construction progress using 4D BIM and site photologs Kevin Han, Mani Golparvar‐Fard Automation in Construction Construction TechnologyMachine VisionImage AnalysisEngineeringPattern Recognition	2015	240

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