81 citations · 124 across the 8 of their papers we have counts for
12 papers
X-Beat: An Explainable Framework for ECG Image Classification
Mohammad Sadman Tahsin, Haitham Y. Adarbah, Afzel Noore
Accurate automated interpretation of electrocardio- grams (ECGs) is essential for early detection of cardiac condi- tions such as myocardial infarction and rhythm abnormalities. Ho…
Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis
Moshiur Rahman Tonmoy, Dunren Che, Haitham Y. Adarbah +1
Concept Bottleneck Models provide interpretable-by-design predictions by mediating diagnosis through human-understandable concepts, but in medical imaging, their trustworthiness is…
Age Gap Reducer-GAN for Recognizing Age-Separated Faces
Daksha Yadav, Naman Kohli, Mayank Vatsa +2
In this paper, we propose a novel algorithm for matching faces with temporal variations caused due to age progression. The proposed generative adversarial network algorithm is a un…
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!
Maneet Singh, Shruti Nagpal, Mayank Vatsa +2
Autoencoders are unsupervised deep learning models used for learning representations. In literature, autoencoders have shown to perform well on a variety of tasks spread across mul…
Learning A Shared Transform Model for Skull to Digital Face Image Matching
Maneet Singh, Shruti Nagpal, Richa Singh +2
Human skull identification is an arduous task, traditionally requiring the expertise of forensic artists and anthropologists. This paper is an effort to automate the process of mat…
Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos
Naman Kohli, Daksha Yadav, Mayank Vatsa +2
Identifying kinship relations has garnered interest due to several applications such as organizing and tagging the enormous amount of videos being uploaded on the Internet. Existin…