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 …
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 …
Weatherstream: Light transport automation of single image deweathering
Today single image deweathering is arguably more sensitive to the dataset type, rather than
the model. We introduce WeatherStream, an automatic pipeline capturing all real-world …
the model. We introduce WeatherStream, an automatic pipeline capturing all real-world …
Contrast-phys+: Unsupervised and weakly-supervised video-based remote physiological measurement via spatiotemporal contrast
Video-based remote physiological measurement utilizes facial videos to measure the blood
volume change signal, which is also called remote photoplethysmography (rPPG) …
volume change signal, which is also called remote photoplethysmography (rPPG) …
Machine learning in radar-based physiological signals sensing: a sco** review of the models, datasets and metrics
In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …
often proposed as a possible alternative to traditional contact devices. The ability to extract …
Radar fields: Frequency-space neural scene representations for fmcw radar
Neural fields have been broadly investigated as scene representations for the reproduction
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …
Implicit neural models to extract heart rate from video
Scene representation networks, or implicit neural representations (INR) have seen a range
of success in numerous image and video applications. However, being universal function …
of success in numerous image and video applications. However, being universal function …
CoIR: Compressive Implicit Radar
Using millimeter wave (mmWave) signals for imaging has an important advantage in that
they can penetrate through poor environmental conditions such as fog, dust, and smoke that …
they can penetrate through poor environmental conditions such as fog, dust, and smoke that …
Mime: Minority inclusion for majority group enhancement of ai performance
Several papers have rightly included minority groups in artificial intelligence (AI) training
data to improve test inference for minority groups and/or society-at-large. A society-at-large …
data to improve test inference for minority groups and/or society-at-large. A society-at-large …
[HTML][HTML] Non-contact multimodal indoor human monitoring systems: A survey
Indoor human monitoring systems are integral in various applications. They leverage a wide
range of sensors, including cameras, radio devices, and inertial measurement units, to …
range of sensors, including cameras, radio devices, and inertial measurement units, to …