45 citations · 73 across the 12 of their papers we have counts for
13 papers
Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth
Kaveh Safavigerdini, Ramakrishna Surya, Jaired Collins +4
Carbon nanotubes (CNTs) are critical building blocks in nanotechnology, yet the characterization of their dynamic growth is limited by the experimental challenges in nanoscale moti…
HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object Embedding With Selective Update and Self-Supervised Distillation Feedback
Elham Soltani Kazemi, Imad Eddine Toubal, Gani Rahmon +2
Video Object Segmentation (VOS) is foundational to numerous computer vision applications, including surveillance, autonomous driving, robotics and generative video editing. However…
Measurements of CNT Forest Self-Assembly from In-situ ESEM Synthesis
Ramakrishna Surya, Gordon L. Koerner, Taher Hajilounezhad +5
Understanding the dynamic self-assembly mechanisms of carbon nanotube (CNT) forests is necessary to advance their technological promise. Here, in-situ environmental scanning electr…
Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations
Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya +5
We present a pipeline for predicting mechanical properties of vertically-oriented carbon nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI)-b…
Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5
Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal +3
This research focuses on real-time surveillance systems as a means for tackling the issue of non-compliance with helmet regulations, a practice that considerably amplifies the risk…
"Do You Know You Are Tracked by Photos That You Didn't Take": Location-Aware Multi-Party Image Privacy Protection
Joshua Morris, Sara Newman, Kannappan Palaniappan +2
Most existing image privacy protection works focus mainly on the privacy of photo owners and their friends, but lack the consideration of other people who are in the background of…
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos
Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour +2
Detection of moving objects such as vehicles in videos acquired from an airborne camera is very useful for video analytics applications. Using fast low power algorithms for onboard…
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics
Mahdieh Poostchi, Kannappan Palaniappan, Da Li +3
In many Multimedia content analytics frameworks feature likelihood maps represented as histograms play a critical role in the overall algorithm. Integral histograms provide an effi…
Multi-Scale Spatially Weighted Local Histograms in O(1)
Mahdieh Poostchi, Ali Shafiekhani, Kannappan Palaniappan +1
Weighting pixel contribution considering its location is a key feature in many fundamental image processing tasks including filtering, object modeling and distance matching. Severa…
Adaptive diffusion constrained total variation scheme with application to `cartoon + texture + edge' image decomposition
Juan C. Moreno, V. B. Surya Prasath, D. Vorotnikov +2
We consider an image decomposition model involving a variational (minimization) problem and an evolutionary partial differential equation (PDE). We utilize a linear inhomogenuous d…
Phase transitions during fruiting body formation in Myxococcus xanthus
Shashi Thutupalli, Mingzhai Sun, Filiz Bunyak +2
The formation of a collectively moving group benefits individuals within a population in a variety of ways such as ultra-sensitivity to perturbation, collective modes of feeding, a…
Brain MRI Segmentation with Fast and Globally Convex Multiphase Active Contours
Juan C. Moreno, V. B. S. Prasath, Hugo Proenca +1
Multiphase active contour based models are useful in identifying multiple regions with different characteristics such as the mean values of regions. This is relevant in brain magne…
Color image denoising by chromatic edges based vector valued diffusion
V. B. Surya Prasath, Juan C. Moreno, K. Palaniappan
In this letter we propose to denoise digital color images via an improved geometric diffusion scheme. By introducing edges detected from all three color channels into the diffusion…