12 citations · 18 across the 9 of their papers we have counts for
9 papers
Video to All-in-focus Image Reconstruction Algorithm for Automated Microscopic Urinalysis
Chinmay Nema, Hari Om Aggrawal, Dipam Goswami +2
Microscopic urinalysis is a routine diagnostic test at hospitals. Recent studies have demonstrated the effectiveness of deep learning methods to automate microscopic urinalysis. Th…
ModTGCN: Modularity-aware Graph Neural Networks for Text Classification
Rajarshi Misra, Aditya Sharma, Vinti Agarwal +1
Graph-based text classification models typically rely on local neighborhood aggregation and overlook global community structure, despite semantic document graphs exhibiting strong…
A structured L-BFGS method with diagonal scaling and its application to image registration
Florian Mannel, Hari Om Aggrawal
We devise an L-BFGS method for optimization problems in which the objective is the sum of two functions, where the Hessian of the first function is computationally unavailable whil…
Bounding Box Priors for Cell Detection with Point Annotations
Hari Om Aggrawal, Dipam Goswami, Vinti Agarwal
The size of an individual cell type, such as a red blood cell, does not vary much among humans. We use this knowledge as a prior for classifying and detecting cells in images with…
Urine Microscopic Image Dataset
Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta +1
Urinalysis is a standard diagnostic test to detect urinary system related problems. The automation of urinalysis will reduce the overall diagnostic time. Recent studies used urine…
Hessian Initialization Strategies for L-BFGS Solving Non-linear Inverse Problems
Hari Om Aggrawal, Jan Modersitzki
L-BFGS is the state-of-the-art optimization method for many large scale inverse problems. It has a small memory footprint and achieves superlinear convergence. The method approxima…