In 2026, the digital wellness landscape transitioned from a collection of lifestyle novelties into a vital, data-driven ...

This repository contains the code for the paper "SPADE: Sparsity Guided Debugging for Deep Neural Networks". In this paper we improved interpretability methods by first pruning the model on the sample ...

Abstract: In this article, the interference mitigation (IM) problem is tackled as a regression problem. A prior-guided deep learning (DL)-based IM approach is proposed for frequency-modulated ...

Abstract: Image matting is widely studied for accurate foreground extraction. Most algorithms, including deep-learning based solutions, require a carefully edited trimap. Recent works attempt to ...