Extremal Contours: Gradient-driven contours for compact visual attribution
Training-free method that uses gradient-driven smooth contours for compact visual attribution.
Training-free method that uses gradient-driven smooth contours for compact visual attribution.
Fourier Shape Representation is a repository and research project focused on using Fourier-based techniques to represent and analyze shapes in images. The project implements …
Extremal Contours is an algorithmic explainable AI method for extracting compact, smooth, and interpretable visual explanations from deep vision models. The method represents …
Robust non-contact heart-rate estimation from facial video using PPG amplitude normalization and multi-signal fusion.
A computer vision–based system for estimating heart rate from facial RGB videos without physical contact. The project combines multi-color-space PPG extraction, amplitude variation …