6 citations · 7 across the 5 of their papers we have counts for
5 papers
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs
Ram Zaveri
Catastrophic forgetting has been the leading issue in the domain of lifelong learning in artificial systems. Current artificial systems are reasonably good at learning domains they…
Improving Accuracy and Generalization for Efficient Visual Tracking
Ram Zaveri, Shivang Patel, Yu Gu +1
Efficient visual trackers overfit to their training distributions and lack generalization abilities, resulting in them performing well on their respective in-distribution (ID) test…
Few-shot adaptation for morphology-independent cell instance segmentation
Ram J. Zaveri, Voke Brume, Gianfranco Doretto
Microscopy data collections are becoming larger and more frequent. Accurate and precise quantitative analysis tools like cell instance segmentation are necessary to benefit from th…
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation
Matthew Keaton, Ram Zaveri, Gianfranco Doretto
Automated cellular instance segmentation is a process utilized for accelerating biological research for the past two decades, and recent advancements have produced higher quality r…
Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention
Matthew R. Keaton, Ram J. Zaveri, Meghana Kovur +3
Plant species identification in the wild is a difficult problem in part due to the high variability of the input data, but also because of complications induced by the long-tail ef…