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Found 10 papers, 0 papers with code
Reversing Food Craving Preference Through Multisensory Exposure
Our results asserted the effect of the multisensory food exposure showing statistically significant increase in food craving for negative control post-exposure to disliked food items.
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to improve stability and robustness.
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Artificial Intelligence has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions.
Functional Classwise Principal Component Analysis: A Novel Classification Framework
In recent times, functional data analysis (FDA) has been successfully applied in the field of high dimensional data classification.
Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera
We tackle these challenges based on a novel lightweight setup that converts a standard baseball cap to a device for high-quality pose estimation based on a single cap-mounted fisheye camera.
Ranked #6 on
Egocentric Pose Estimation
on GlobalEgoMocap Test Dataset
(using extra training data)
LIME: Live Intrinsic Material Estimation
We present the first end to end approach for real time material estimation for general object shapes with uniform material that only requires a single color image as input.
MonoPerfCap: Human Performance Capture from Monocular Video
Reconstruction from monocular video alone is drastically more challenging, since strong occlusions and the inherent depth ambiguity lead to a highly ill-posed reconstruction problem.
Photometric Refinement of Depth Maps for Multi-Albedo Objects
The method of this paper does not require the constant albedo assumption and we believe it is the first work of its kind to handle objects with arbitrary albedo under uncalibrated illumination.
Noise in Structured-Light Stereo Depth Cameras: Modeling and its Applications
Depth maps obtained from commercially available structured-light stereo based depth cameras, such as the Kinect, are easy to use but are affected by significant amounts of noise.
High Quality Photometric Reconstruction using a Depth Camera
Firstly, instead of using an extra RGB camera, we use the infra-red (IR) camera of the depth camera system itself to directly obtain high resolution photometric information.
