Improving healthcare quality and access remains a critical concern for
c...
Unsupervised domain adaptation (UDA) aims to bridge the gap between sour...
Domain generalization (DG) focuses on transferring domain-invariant know...
Egocentric 3D human pose estimation (HPE) from images is challenging due...
Vast amount of data generated from networks of sensors, wearables, and t...
As countries look towards re-opening of economic activities amidst the
o...
We consider the problem of factorizing a structured 3-way tensor into it...
Deepfake is one notorious application of deep learning research, leading...
Machine learning transparency calls for interpretable explanations of ho...
Modeling the dynamics of real-world physical systems is critical for
spa...
The ongoing Coronavirus Disease (COVID-19) pandemic highlights the
inter...
The ongoing Coronavirus Disease (COVID-19) pandemic highlights the
inter...
We consider the dictionary learning problem, where the aim is to model t...
We propose a technique to develop (and localize in) topological maps fro...
Localizing targets of interest in a given hyperspectral (HS) image has
a...
We consider the task of localizing targets of interest in a hyperspectra...
We consider the decomposition of a data matrix assumed to be a superposi...
We analyze the decomposition of a data matrix, assumed to be a superposi...
This work examines a semi-blind single-channel source separation problem...