Infrared absorption spectroscopy (IAS) is currently a powerful tool for gas sensing. Gas sensors based on IAS show advantages of high sensitivity, good selectivity and in-situ measurement. Typical …
This paper presents a deep architecture, called pyramidal semantic correspondence networks (PSCNet), that estimates locally-varying affine transformation fields across semantically similar images. …
Stereo matching is one of the most popular techniques to estimate dense depth maps by finding the disparity between matching pixels on two, synchronized and rectified images. Alongside with the dev…
It is well established that interpatient heterogeneity in cancer may significantly affect genomic data analyses and in particular, network topologies. Most existing graphical model methods estimate…
We experimentally demonstrate an elliptical-aperture multimode diversity receiver to mitigate the impairment from anisotropic turbulence, which is emulated by employing an electrically-controlled h…
One of the most significant manufacturing issues is how to monitor and diagnose the state of machines from various sensor data. Detecting machine state changes is very important because it can prev…
We propose two types of temperature-compensated all-fiber sensors based on a novel laser-machined Fabry-Perot interferometer (FPI) whose sensitivity is adjusted by controlling the FPI gauge length …