157 citations · 161 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
Microscopic fine-grained instance classification through deep attention
Mengran Fan, Tapabrata Chakrabort, Eric I-Chao Chang +2
Fine-grained classification of microscopic image data with limited samples is an open problem in computer vision and biomedical imaging. Deep learning based vision systems mostly d…
Distance Metric Learned Collaborative Representation Classifier
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
Any generic deep machine learning algorithm is essentially a function fitting exercise, where the network tunes its weights and parameters to learn discriminatory features by minim…
PProCRC: Probabilistic Collaboration of Image Patches
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
We present a conditional probabilistic framework for collaborative representation of image patches. It incorporates background compensation and outlier patch suppression into the m…
CoCoNet: A Collaborative Convolutional Network
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
We present an end-to-end deep network for fine-grained visual categorization called Collaborative Convolutional Network (CoCoNet). The network uses a collaborative layer after the…
LOOP Descriptor: Local Optimal Oriented Pattern
Tapabrata Chakraborti, Brendan McCane, Steven Mills +1
This letter introduces the LOOP binary descriptor (local optimal oriented pattern) that encodes rotation invariance into the main formulation itself. This makes any post processing…