[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 …
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 …
[PDF][PDF] Integrating physics-based modeling with machine learning: A survey
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 …
Driven by data or derived through physics? a review of hybrid physics guided machine learning techniques with cyber-physical system (cps) focus
A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …
High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …
vision with many applications, such as robotics and augmented reality. The advent of …
Depth estimation from camera image and mmwave radar point cloud
We present a method for inferring dense depth from a camera image and a sparse noisy
radar point cloud. We first describe the mechanics behind mmWave radar point cloud …
radar point cloud. We first describe the mechanics behind mmWave radar point cloud …
Transcg: A large-scale real-world dataset for transparent object depth completion and a grasping baseline
Transparent objects are common in our daily life and frequently handled in the automated
production line. Robust vision-based robotic grasping and manipulation for these objects …
production line. Robust vision-based robotic grasping and manipulation for these objects …
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 …
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 …
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 …