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Integrating scientific knowledge with machine learning for engineering and environmental systems
There is a growing consensus that solutions to complex science and engineering problems
require novel methodologies that are able to integrate traditional physics-based modeling …
require novel methodologies that are able to integrate traditional physics-based modeling …
[HTML][HTML] A review of physics-based machine learning in civil engineering
The recent development of machine learning (ML) and Deep Learning (DL) increases the
opportunities in all the sectors. ML is a significant tool that can be applied across many …
opportunities in all the sectors. ML is a significant tool that can be applied across many …
[PDF][PDF] Integrating physics-based modeling with machine learning: A survey
J Willard, X Jia, S Xu, M Steinbach… - ar** baseline
Transparent objects are common in our daily life and frequently handled in the automated
production line. Robust vision-based robotic gras** and manipulation for these objects …
production line. Robust vision-based robotic gras** and manipulation for these objects …
Incorporating physics into data-driven computer vision
Many computer vision techniques infer properties of our physical world from images.
Although images are formed through the physics of light and mechanics, computer vision …
Although images are formed through the physics of light and mechanics, computer vision …
Shape from polarization for complex scenes in the wild
We present a new data-driven approach with physics-based priors to scene-level normal
estimation from a single polarization image. Existing shape from polarization (SfP) works …
estimation from a single polarization image. Existing shape from polarization (SfP) works …
Deep polarization imaging for 3d shape and svbrdf acquisition
We present a novel method for efficient acquisition of shape and spatially varying
reflectance of 3D objects using polarization cues. Unlike previous works that have exploited …
reflectance of 3D objects using polarization cues. Unlike previous works that have exploited …