7 citations · 23 across the 10 of their papers we have counts for
10 papers
Emerging Standards for Machine-to-Machine Video Coding
Md Eimran Hossain Eimon, Velibor Adzic, Hari Kalva +1
Machines are increasingly becoming the primary consumers of visual data, yet most deployments of machine-to-machine systems still rely on remote inference where pixel-based video i…
Feature Coding for Scalable Machine Vision
Md Eimran Hossain Eimon, Juan Merlos, Ashan Perera +3
Deep neural networks (DNNs) drive modern machine vision but are challenging to deploy on edge devices due to high compute demands. Traditional approaches-running the full model on-…
ROI-Packing: Efficient Region-Based Compression for Machine Vision
Md Eimran Hossain Eimon, Alena Krause, Ashan Perera +4
This paper introduces ROI-Packing, an efficient image compression method tailored specifically for machine vision. By prioritizing regions of interest (ROI) critical to end-task ac…
Efficient Feature Compression for Machines with Global Statistics Preservation
Md Eimran Hossain Eimon, Hyomin Choi, Fabien Racapé +4
The split-inference paradigm divides an artificial intelligence (AI) model into two parts. This necessitates the transfer of intermediate feature data between the two halves. Here,…
Enabling Next-Generation Consumer Experience with Feature Coding for Machines
Md Eimran Hossain Eimon, Juan Merlos, Ashan Perera +3
As consumer devices become increasingly intelligent and interconnected, efficient data transfer solutions for machine tasks have become essential. This paper presents an overview o…
Estimating Body Volume and Height Using 3D Data
Vivek Ganesh Sonar, Muhammad Tanveer Jan, Mike Wells +4
Accurate body weight estimation is critical in emergency medicine for proper dosing of weight-based medications, yet direct measurement is often impractical in urgent situations. T…
Anomalous Behavior Detection in Trajectory Data of Older Drivers
Seyedeh Gol Ara Ghoreishi, Sonia Moshfeghi, Muhammad Tanveer Jan +8
Given a road network and a set of trajectory data, the anomalous behavior detection (ABD) problem is to identify drivers that show significant directional deviations, hardbrakings,…
In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment
Sonia Moshfeghi, Muhammad Tanveer Jan, Joshua Conniff +8
Driving is a complex daily activity indicating age and disease related cognitive declines. Therefore, deficits in driving performance compared with ones without mild cognitive impa…
Methods and Tools for Monitoring Driver's Behavior
Muhammad Tanveer Jan, Sonia Moshfeghi, Joshua William Conniff +7
In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-v…
A Mobile Device Prototype Application for the Detection and Prediction of Node Faults in Wireless Sensor Networks
Anthony Marcus, Ionut Cardei, Borko Furht +2
Various implementations of wireless sensor networks (i.e. personal area-, wireless body area- networks) are prone to node and network failures by such characteristics as limited no…