Wilfredo Torres Calderon

I am a Civil Engineer Ph.D. student at the University of Illinois at Urbana-Champaign, where I do research on computer vision and computational photography applied to construction management. I am advised by Mani Golparvar-Fard

Before starting my Ph.D., I did an MSc in Civil Engineering at UIUC, and simultaneously with my Ph.D. studies, I pursued an MCS in Computer Science also at UIUC. I completed my bachelor's degree at the Pontificia Universidad Catolica del Peru.

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I'm interested in computer vision, machine learning, optimization, and natural language processing (NLP). Much of my research is focused is the application of computer vision and NLP to construction management. More specifically:

• 2d/3d pose-aware action segmention for activity analysis of construction agents, and
• Machine mapping of activities to 3d BIM elements for automated generation of 4d BIM

A vision-based activity analysis method that leverages synthetically generated hauling operations using 3D simulations.

A vision-based activity analysis method that leverages 2D pose estimation outputs that are used in many state-of-the-art construction worker ergonomics analysis methods.

A 2D human pose annotation tool adapted from CVAT that can also annotate per-frame activity labels.

An NLP model for automated mapping of raw construction activities to 3D BIM elements.

Credit to Jon Barron .