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Mani Golparvar-Fard - Publications

Affiliations: 
University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
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57 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Tang S, Golparvar-Fard M, Naphade M, Gopalakrishna MM. Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems Journal of Computing in Civil Engineering. 34: 4020041. DOI: 10.1061/(Asce)Cp.1943-5487.0000923  0.576
2020 Roberts D, Calderon WT, Tang S, Golparvar-Fard M. Vision-Based Construction Worker Activity Analysis Informed by Body Posture Journal of Computing in Civil Engineering. 34: 4020017. DOI: 10.1061/(Asce)Cp.1943-5487.0000898  0.588
2020 Sherafat B, Ahn CR, Akhavian R, Behzadan AH, Golparvar-Fard M, Kim H, Lee YC, Rashidi A, Azar ER. Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review Journal of Construction Engineering and Management-Asce. 146: 3120002. DOI: 10.1061/(Asce)Co.1943-7862.0001843  0.351
2020 Tang S, Roberts D, Golparvar-Fard M. Human-object interaction recognition for automatic construction site safety inspection Automation in Construction. 120: 103356. DOI: 10.1016/J.Autcon.2020.103356  0.597
2019 Tang S, Golparvar-fard M, Naphade M, Gopalakrishna MM. Video-Based Activity Forecasting for Construction Safety Monitoring Use Cases Computing in Civil Engineering. 204-210. DOI: 10.1061/9780784482445.026  0.573
2019 Ibrahim A, Golparvar-Fard M. 4D BIM Based Optimal Flight Planning for Construction Monitoring Applications Using Camera-Equipped UAVs Computing in Civil Engineering. 217-224. DOI: 10.1061/9780784482438.028  0.367
2019 Lin JJ, Lee JY, Golparvar-Fard M. Exploring the Potential of Image-Based 3D Geometry and Appearance Reasoning for Automated Construction Progress Monitoring Computing in Civil Engineering. 162-170. DOI: 10.1061/9780784482438.021  0.381
2019 Perez-Perez Y, Golparvar-Fard M, El-Rayes K. Artificial Neural Network for Semantic Segmentation of Built Environments for Automated Scan2BIM Computing in Civil Engineering. 97-104. DOI: 10.1061/9780784482438.013  0.603
2019 Torres-Calderon W, Chi Y, Amer F, Golparvar-Fard M. Automated Mining of Construction Schedules for Easy and Quick Assembly of 4D BIM Simulations Computing in Civil Engineering. 432-438. DOI: 10.1061/9780784482421.055  0.32
2019 Amer F, Golparvar-Fard M. Formalizing Construction Sequencing Knowledge and Mining Company-Specific Best Practices from Past Project Schedules Computing in Civil Engineering. 215-223. DOI: 10.1061/9780784482421.028  0.301
2019 Roberts D, Wang Y, Sabet A, Golparvar-Fard M. Annotating 2D Imagery with 3D Kinematically Configurable Assets of Construction Equipment for Training Pose-Informed Activity Analysis and Safety Monitoring Algorithms Computing in Civil Engineering. 32-38. DOI: 10.1061/9780784482421.005  0.364
2019 Roberts D, Golparvar-Fard M. End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level Automation in Construction. 105: 102811. DOI: 10.1016/J.Autcon.2019.04.006  0.409
2018 Han K, Degol J, Golparvar-Fard M. Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring Journal of Construction Engineering and Management-Asce. 144: 4017110. DOI: 10.1061/(Asce)Co.1943-7862.0001428  0.306
2017 Han K, Golparvar-Fard M. Crowdsourcing BIM-guided collection of construction material library from site photologs Visualization in Engineering. 5: 14. DOI: 10.1186/S40327-017-0052-3  0.411
2017 Han KK, Golparvar-Fard M. Potential of big visual data and building information modeling for construction performance analytics: An exploratory study Automation in Construction. 73: 184-198. DOI: 10.1016/J.Autcon.2016.11.004  0.37
2016 Ham Y, Han KK, Lin JJ, Golparvar-Fard M. Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works Visualization in Engineering. 4: 1-8. DOI: 10.1186/S40327-015-0029-Z  0.407
2016 Bae H, Walker M, White J, Pan Y, Sun Y, Golparvar-Fard M. Fast and scalable structure-from-motion based localization for high-precision mobile augmented reality systems Mux: the Journal of Mobile User Experience. 5: 4. DOI: 10.1186/S13678-016-0005-0  0.369
2016 Balali V, Golparvar-Fard M. Erratum for “Evaluation of Multiclass Traffic Sign Detection and Classification Methods for U.S. Roadway Asset Inventory Management” by Vahid Balali and Mani Golparvar-Fard Journal of Computing in Civil Engineering. 30: 8216001. DOI: 10.1061/(Asce)Cp.1943-5487.0000579  0.3
2016 Balali V, Golparvar-Fard M. Evaluation of Multiclass Traffic Sign Detection and Classification Methods for U.S. Roadway Asset Inventory Management Journal of Computing in Civil Engineering. 30: 4015022. DOI: 10.1061/(Asce)Cp.1943-5487.0000491  0.371
2016 Yoon H, Elanwar H, Choi H, Golparvar-Fard M, Spencer BF. Target-free approach for vision-based structural system identification using consumer-grade cameras Structural Control and Health Monitoring. DOI: 10.1002/Stc.1850  0.334
2015 Ham Y, Golparvar-Fard M. BIM and Thermographic Sensing: Reflecting the As-is Building Condition in Energy Analysis Journal of Construction Engineering and Project Management. 5: 16-22. DOI: 10.6106/Jcepm.2015.5.4.016  0.38
2015 Balali V, Rad AA, Golparvar-Fard M. Detection, classification, and mapping of U.S. traffic signs using google street view images for roadway inventory management Visualization in Engineering. 3: 15. DOI: 10.1186/S40327-015-0027-1  0.394
2015 Yoon H, Ham Y, Golparvar-Fard M, Spencer BF. Forward-Backward Approach for 3D Event Localization Using Commodity Smartphones for Ubiquitous Context-Aware Applications in Civil and Infrastructure Engineering Computer-Aided Civil and Infrastructure Engineering. DOI: 10.1111/Mice.12154  0.359
2015 Ham Y, Golparvar-Fard M. Three-dimensional thermography-based method for cost-benefit analysis of energy efficiency building envelope retrofits Journal of Computing in Civil Engineering. 29. DOI: 10.1061/(Asce)Cp.1943-5487.0000406  0.376
2015 Bae H, Golparvar-Fard M, White J. Image-Based Localization and Content Authoring in Structure-from-Motion Point Cloud Models for Real-Time Field Reporting Applications Journal of Computing in Civil Engineering. 29. DOI: 10.1061/(Asce)Cp.1943-5487.0000392  0.392
2015 Golparvar-Fard M, Balali V, Garza JMdl. Segmentation and Recognition of Highway Assets Using Image-Based 3D Point Clouds and Semantic Texton Forests Journal of Computing in Civil Engineering. 29: 4014023. DOI: 10.1061/(Asce)Cp.1943-5487.0000283  0.406
2015 Golparvar-Fard M, Peña-Mora F, Savarese S. Automated progress monitoring using unordered daily construction photographs and IFC-based building information models Journal of Computing in Civil Engineering. 29. DOI: 10.1061/(Asce)Cp.1943-5487.0000205  0.478
2015 Liu K, Golparvar-Fard M. Crowdsourcing Construction Activity Analysis from Jobsite Video Streams Journal of Construction Engineering and Management-Asce. 141: 4015035. DOI: 10.1061/(Asce)Co.1943-7862.0001010  0.403
2015 Abdallah M, Clevenger C, Golparvar-Fard M. Developing a Thermal Comfort Report Card for Building Procedia Engineering. 118: 675-682. DOI: 10.1016/J.Proeng.2015.08.502  0.357
2015 Han KK, Golparvar-Fard M. Appearance-based material classification for monitoring of operation-level construction progress using 4D BIM and site photologs Automation in Construction. 53: 44-57. DOI: 10.1016/J.Autcon.2015.02.007  0.411
2015 Dimitrov A, Golparvar-Fard M. Segmentation of building point cloud models including detailed architectural/structural features and MEP systems Automation in Construction. 51: 32-45. DOI: 10.1016/J.Autcon.2014.12.015  0.38
2015 Balali V, Golparvar-Fard M. Segmentation and recognition of roadway assets from car-mounted camera video streams using a scalable non-parametric image parsing method Automation in Construction. 49: 27-39. DOI: 10.1016/J.Autcon.2014.09.007  0.404
2015 Han KK, Cline D, Golparvar-Fard M. Formalized knowledge of construction sequencing for visual monitoring of work-in-progress via incomplete point clouds and low-LoD 4D BIMs Advanced Engineering Informatics. 29: 889-901. DOI: 10.1016/J.Aei.2015.10.006  0.457
2015 Balali V, Sadeghi MA, Golparvar-Fard M. Image-based retro-reflectivity measurement of traffic signs in day time Advanced Engineering Informatics. 29: 1028-1040. DOI: 10.1016/J.Aei.2015.08.003  0.335
2015 Yang J, Park MW, Vela PA, Golparvar-Fard M. Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future Advanced Engineering Informatics. 29: 211-224. DOI: 10.1016/J.Aei.2015.01.011  0.442
2014 Ham Y, Golparvar-Fard M. 3D Visualization of thermal resistance and condensation problems using infrared thermography for building energy diagnostics Visualization in Engineering. 2: 12. DOI: 10.1186/S40327-014-0012-0  0.391
2014 Torok MM, Golparvar-Fard M, Kochersberger KB. Image-based automated 3D crack detection for post-disaster building assessment Journal of Computing in Civil Engineering. 28. DOI: 10.1061/(Asce)Cp.1943-5487.0000334  0.371
2014 Golparvar-Fard M, Ham Y. Automated diagnostics and visualization of potential energy performance problems in existing buildings using energy performance augmented reality models Journal of Computing in Civil Engineering. 28: 17-29. DOI: 10.1061/(Asce)Cp.1943-5487.0000311  0.353
2014 Albert A, Hallowell MR, Kleiner B, Chen A, Golparvar-Fard M. Enhancing construction hazard recognition with high-fidelity augmented virtuality Journal of Construction Engineering and Management. 140. DOI: 10.1061/(Asce)Co.1943-7862.0000860  0.345
2014 McCoy AP, Golparvar-Fard M, Rigby ET. Reducing barriers to remote project planning: Comparison of low-tech site capture approaches and image-based 3D reconstruction Journal of Architectural Engineering. 20. DOI: 10.1061/(Asce)Ae.1943-5568.0000118  0.395
2014 Khosrowpour A, Niebles JC, Golparvar-Fard M. Vision-based workface assessment using depth images for activity analysis of interior construction operations Automation in Construction. 48: 74-87. DOI: 10.1016/J.Autcon.2014.08.003  0.434
2014 Ham Y, Golparvar-Fard M. Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling Automation in Construction. DOI: 10.1016/J.Autcon.2014.07.009  0.364
2014 Dimitrov A, Golparvar-Fard M. Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections Advanced Engineering Informatics. 28: 37-49. DOI: 10.1016/J.Aei.2013.11.002  0.417
2013 Bae H, Golparvar-Fard M, White J. High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications Visualization in Engineering. 1: 3. DOI: 10.1186/2213-7459-1-3  0.422
2013 Ahn CR, Lewis P, Golparvar-Fard M, Lee S. Integrated Framework for Estimating, Benchmarking, and Monitoring Pollutant Emissions of Construction Operations Journal of Construction Engineering and Management-Asce. 139. DOI: 10.1061/(Asce)Co.1943-7862.0000755  0.495
2013 Ham Y, Golparvar-Fard M. EPAR: Energy Performance Augmented Reality models for identification of building energy performance deviations between actual measurements and simulation results Energy and Buildings. 63: 15-28. DOI: 10.1016/J.Enbuild.2013.02.054  0.36
2013 Memarzadeh M, Golparvar-Fard M, Niebles JC. Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors Automation in Construction. 32: 24-37. DOI: 10.1016/J.Autcon.2012.12.002  0.441
2013 Golparvar-Fard M, Heydarian A, Niebles JC. Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers Advanced Engineering Informatics. 27: 652-663. DOI: 10.1016/J.Aei.2013.09.001  0.426
2013 Ham Y, Golparvar-Fard M. An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery Advanced Engineering Informatics. 27: 395-409. DOI: 10.1016/J.Aei.2013.03.005  0.414
2012 Liu M, Golparvar-Fard M, Peña-Mora F. Online remote construction performance monitoring and control using a web-based 4D augmented reality modeling environment Gerontechnology. 11: 79. DOI: 10.4017/Gt.2012.11.02.674.00  0.391
2012 Balali V, Golparvar-Fard M, Garza JMdl. Video-Based Highway Asset Recognition and 3D Localization Gerontechnology. 11: 65-66. DOI: 10.4017/Gt.2012.11.02.322.00  0.391
2012 Dimitrov A, Golparvar-Fard M, Peña-Mora F. Robust material recognition for automated semantically-rich 3D modelling Gerontechnology. 11: 73. DOI: 10.4017/Gt.2012.11.02.021.00  0.324
2012 Peña-Mora F, Thomas JK, Golparvar-Fard M, Aziz Z. Supporting Civil Engineers during Disaster Response and Recovery Using a Segway Mobile Workstation Chariot Journal of Computing in Civil Engineering. 26: 448-455. DOI: 10.1061/(Asce)Cp.1943-5487.0000117  0.325
2011 Heydarian A, Golparvar-Fard M. A Visual Monitoring Framework for Integrated Productivity and Carbon Footprint Control of Construction Operations Computing in Civil Engineering. 504-511. DOI: 10.1061/41182(416)62  0.355
2011 Kamat VR, Martinez JC, Fischer M, Golparvar-Fard M, Pea-Mora F, Savarese S. Research in visualization techniques for field construction Journal of Construction Engineering and Management. 137: 853-862. DOI: 10.1061/(Asce)Co.1943-7862.0000262  0.392
2011 Golparvar-Fard M, Bohn J, Teizer J, Savarese S, Peña-Mora F. Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques Automation in Construction. 20: 1143-1155. DOI: 10.1016/J.Autcon.2011.04.016  0.437
2009 Golparvar-Fard M, Pea-Mora F, Arboleda CA, Lee S. Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs Journal of Computing in Civil Engineering. 23: 391-404. DOI: 10.1061/(Asce)0887-3801(2009)23:6(391)  0.545
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