activity
20152023
most citedDeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

1.2k citations · 1.4k across the 12 of their papers we have counts for

collaborators

12 papers

physics.flu-dyn2023

Coherent spore dispersion via drop-leaf interactions

Zixuan Wu, Saikat Basu, Seungho Kim +3

The dispersion of plant pathogens, such as rust spores, is responsible for more than 20% of global yield loss annually, and poses a significant threat to human health. However, the…

physics.med-ph2021

On the design of particle filters inspired by animal noses

Jisoo Yuk, Aneek Chakraborty, Shyuan Cheng +5

Passive filtering is a common strategy used to reduce airborne disease transmission and particulate contaminants in buildings and individual covers. The engineering of high-perform…

physics.med-ph2020★ 1 cited

Computational modeling of perfusion in dense solid tumors

Mohammad Mehedi Hasan Akash, Nilotpal Chakraborty, Saikat Basu

Tracking and characterizing the blood uptake process within solid pancreatic tumors and the subsequent spatio-temporal distribution of red blood cells are critical to the clinical…

cs.CV2019★ 56 cited

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification

Qun Liu, Saikat Basu, Sangram Ganguly +4

Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning. Due to the high variability inherent i…

cs.CY2018★ 50 cited

From Satellite Imagery to Disaster Insights

Jigar Doshi, Saikat Basu, Guan Pang

The use of satellite imagery has become increasingly popular for disaster monitoring and response. After a disaster, it is important to prioritize rescue operations, disaster respo…

cs.CV2018

Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters

Manohar Karki, Qun Liu, Robert DiBiano +2

Classification techniques for images of handwritten characters are susceptible to noise. Quadtrees can be an efficient representation for learning from sparse features. In this pap…