activity
20212026
most citedAn Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Beyond Gait: Person Identification from Millimeter-Wave Point Clouds Across Activities of Daily Living

Xilai Wang, Zixiong Han, Saad Rhanmouni +3

Person identification from millimeter-wave (mmWave) point clouds has mainly relied on gait. Indoor walking, however, is often brief and interrupted, while other activities of daily…

cs.CL2025

Semantic Differentiation in Speech Emotion Recognition: Insights from Descriptive and Expressive Speech Roles

Rongchen Guo, Vincent Francoeur, Isar Nejadgholi +2

Speech Emotion Recognition (SER) is essential for improving human-computer interaction, yet its accuracy remains constrained by the complexity of emotional nuances in speech. In th…

cs.CV2024

DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains

Fardad Dadboud, Hamid Azad, Varun Mehta +2

Dependable visual drone detection is crucial for the secure integration of drones into the airspace. However, drone detection accuracy is significantly affected by domain shifts du…

eess.SY2024★ 1 cited

An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems

Kesav Kaza, Varun Mehta, Hamid Azad +2

An intent modelling and inference framework is presented to assist the defense planning for protecting a geo-fence against unauthorized flights. First, a novel mathematical definit…

cs.SE2023

An Architectural Design Decision Model for Resilient IoT Application

Cristovao Freitas Iglesias, Claudio Miceli, Miodrag Bolic

The Internet of Things is a paradigm that refers to the ubiquitous presence around us of physical objects equipped with sensing, networking, and processing capabilities that allow…

cs.CV2023

Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion

Sara Hatami Gazani, Fardad Dadboud, Miodrag Bolic +2

Depth completion and object detection are two crucial tasks often used for aerial 3D mapping, path planning, and collision avoidance of Uncrewed Aerial Vehicles (UAVs). Common solu…

cs.CL2021

A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning

Rajitha Hathurusinghe, Isar Nejadgholi, Miodrag Bolic

We curated WikiPII, an automatically labeled dataset composed of Wikipedia biography pages, annotated for personal information extraction. Although automatic annotation can lead to…