6 papers
Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection
Jicheng Yuan, Anh Le-Tuan, Manfred Hauswirth +1
Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility s…
Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras
Jicheng Yuan, Anh Le-Tuan, Ali Ganbarov +2
Recently, deep learning has experienced rapid expansion, contributing significantly to the progress of supervised learning methodologies. However, acquiring labeled data in real-wo…
Towards an Implementation of the Knowledge-Based Control Plane for Intelligent Swarm Networks
Xuanchi Guo, Anh Le-Tuan, Danh Le-Phuoc
This paper proposes the possibility of integrating Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). This new approach aims to assist the management and control…
A comparison of extended object tracking with multi-modal sensors in indoor environment
Jiangtao Shuai, Martin Baerveldt, Manh Nguyen-Duc +3
This paper presents a preliminary study of an efficient object tracking approach, comparing the performance of two different 3D point cloud sensory sources: LiDAR and stereo camera…
Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices
Ali Ganbarov, Jicheng Yuan, Anh Le-Tuan +2
In this paper, we present an experimental comparison of various graph-based approximate nearest neighbor (ANN) search algorithms deployed on edge devices for real-time nearest neig…
Not All RDF is Created Equal: Investigating RDF Load Times on Resource-Constrained Devices
Piotr Sowinski, Anh Le-Tuan, Pawel Szmeja +1
As the role of knowledge-based systems in IoT keeps growing, ensuring resource efficiency of RDF stores becomes critical. However, up until now benchmarks of RDF stores were most o…