176 citations · 871 across the 49 of their papers we have counts for
6 papers · 1 filter
Analysis-synthesis model learning with shared features: a new framework for histopathological image classification
Xuelu Li, Vishal Monga, U. K. Arvind Rao
Automated histopathological image analysis offers exciting opportunities for the early diagnosis of several medical conditions including cancer. There are however stiff practical c…
Blind Image Deblurring Using Row-Column Sparse Representations
Mohammad Tofighi, Yuelong Li, Vishal Monga
Blind image deblurring is a particularly challenging inverse problem where the blur kernel is unknown and must be estimated en route to recover the deblurred image. The problem is…
Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging
John McKay, Raghu G. Raj, Vishal Monga
Any image recovery algorithm attempts to achieve the highest quality reconstruction in a timely manner. The former can be achieved in several ways, among which are by incorporating…
What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR
John McKay, Isaac Gerg, Vishal Monga +1
Finding mines in Sonar imagery is a significant problem with a great deal of relevance for seafaring military and commercial endeavors. Unfortunately, the lack of enormous Sonar im…
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification
John McKay, Vishal Monga, Raghu G. Raj
Sonar imaging has seen vast improvements over the last few decades due in part to advances in synthetic aperture Sonar (SAS). Sophisticated classification techniques can now be use…
Using Frame Theoretic Convolutional Gridding for Robust Synthetic Aperture Sonar Imaging
John McKay, Anne Gelb, Vishal Monga +1
Recent progress in synthetic aperture sonar (SAS) technology and processing has led to significant advances in underwater imaging, outperforming previously common approaches in bot…