3 citations · 7 across the 6 of their papers we have counts for
6 papers
Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti +1
Accurate segmentation of medical images is challenging due to unclear lesion boundaries and mask variability. We introduce \emph{Segmentation Schödinger Bridge (SSB)}, the first ap…
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
Lalith Bharadwaj Baru, Rohit Boddeda, Shilhora Akshay Patel +1
The evolution of digital image manipulation, particularly with the advancement of deep generative models, significantly challenges existing deepfake detection methods, especially w…
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru +2
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by varied social cognitive challenges and repetitive behavioral patterns. Identifying reliable brain…
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
Prantik Deb, Lalith Bharadwaj Baru, Kamalaker Dadi +1
Brain stroke has become a significant burden on global health and thus we need remedies and prevention strategies to overcome this challenge. For this, the immediate identification…
Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity
Gnyanesh Bangaru, Lalith Bharadwaj Baru, Kiran Chakravarthula
Neural networks trained on standard image classification data sets are shown to be less resistant to data set bias. It is necessary to comprehend the behavior objective function th…
Improvising the Learning of Neural Networks on Hyperspherical Manifold
Lalith Bharadwaj Baru, Sai Vardhan Kanumolu, Akshay Patel Shilhora +1
The impact of convolution neural networks (CNNs) in the supervised settings provided tremendous increment in performance. The representations learned from CNN's operated on hypersp…