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20162023
most citedClassification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning

6 citations · 16 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV20232 cited

Weakly Supervised Realtime Dynamic Background Subtraction

Fateme Bahri, Nilanjan Ray

Background subtraction is a fundamental task in computer vision with numerous real-world applications, ranging from object tracking to video surveillance. Dynamic backgrounds poses…

cs.CV20226 cited

Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning

Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman +2

Bark beetle outbreaks can dramatically impact forest ecosystems and services around the world. For the development of effective forest policies and management plans, the early dete…

cs.CV2022

Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey

Seyed Mojtaba Marvasti-Zadeh, Mohammad N. S. Jahromi, Javad Khaghani +3

In nature, the collective behavior of animals, such as flying birds is dominated by the interactions between individuals of the same species. However, the study of such behavior am…

cs.CV2016

Object Classification with Joint Projection and Low-rank Dictionary Learning

Homa Foroughi, Nilanjan Ray, Hong Zhang

For an object classification system, the most critical obstacles towards real-world applications are often caused by large intra-class variability, arising from different lightings…

cs.CV20163 cited

Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net

Sayan Ghosal, Nilanjan Ray

Deformable registration is ubiquitous in medical image analysis. Many deformable registration methods minimize sum of squared difference (SSD) as the registration cost with respect…