5 citations · 7 across the 3 of their papers we have counts for
4 papers
Dynamic Shape Modeling to Analyze Modes ofMigration During Cell Motility
Ximu Deng, Rituparna Sarkar, Elisabeth Labruyere +2
This paper develops a generative statistical model for representing, modeling, and comparing the morphological evolution of biological cells undergoing motility. It uses the elasti…
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
Rituparna Sarkar, Suvadip Mukherjee, Elisabeth Labruyère +1
Detecting and segmenting individual cells from microscopy images is critical to various life science applications. Traditional cell segmentation tools are often ill-suited for appl…
DISCO: Depth Inference from Stereo using Context
Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri +2
Recent deep learning based approaches have outperformed classical stereo matching methods. However, current deep learning based end-to-end stereo matching methods adopt a generic e…
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change
R. Sarkar, S. Das, N. Vaswani
We study the problem of tracking (causally estimating) a time sequence of sparse spatial signals with changing sparsity patterns, as well as other unknown states, from a sequence o…