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Amazon 2021 - present |
Autodesk AI Lab Summer 2020 |
AutonomouStuff Summer 2017 |
UIUC 2016-2021 |
École Centrale de Lille 2011 - 2015 |
Université Lille 1 2014 - 2015 |
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LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
Dominic Roberts,
Ara Danielyan, Hang Chu, Mani Golparvar-Fard, David Forsyth
ICCV 2021
An augmented version of StructureNet that can re-generate parts situated at arbitrary positions in the hierarchies of its outputs.
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Vision-based construction worker activity analysis informed by body posture
Dominic Roberts,
Wilfredo Torres Calderon,
Shuai Tang,
Mani Golparvar-Fard
Journal of Computing in Civil Engineering, 2020
A vision-based activity analysis method that leverages the 2D pose estimation outputs used in many state-of-the-art construction worker ergonomics analysis methods, resulting in improved performance.
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End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level
Dominic Roberts,
Mani Golparvar-Fard
Automation in Construction, 2019
A framework performing object detection, object tracking and action segmentation to automatically localize and identify earthmoving equipment and the activity they are performing in each video frame.
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Annotating 2D imagery with 3D kinematically configurable assets of construction equipment for training pose-informed activity analysis and safety monitoring algorithms
Dominic Roberts, Yunpeng Wang, Ali Sabet, Mani Golparvar-Fard
ASCE International Conference on Computing in Civil Engineering (i3CE), 2019
A prototype of an annotation tool allowing users to annotate real-world images of construction equipment with semantic segmentation masks and keypoints, given a 3D virtual model of the equipment.
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An Annotation Tool for Benchmarking Methods for Automated Construction Worker Pose Estimation and Activity Analysis
Dominic Roberts, Mingzhu Wang, Wilfredo Torres Calderon, Mani Golparvar-Fard
International Conference on Smart Infrastructure and Construction (ICSIC), 2019
A 2D human pose annotation tool adapted from CVAT that can also annotate per-frame activity labels.
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