3 papers
cs.RO2024
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…
cs.LG2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
Khiem Le, Nhan Luong-Ha, Manh Nguyen-Duc +3
Federated Learning (FL) is a promising paradigm that offers significant advancements in privacy-preserving, decentralized machine learning by enabling collaborative training of mod…
cs.CV2024
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc +3
The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and arc…