4 citations · 9 across the 5 of their papers we have counts for
6 papers
Contrastive Hypergraph Source-free Domain Adaptive Object Detection in Adverse Weather Conditions--Extended Version
Jicheng Yuan, Tung Kieu, Manh Nguyen-Duc +2
Adverse weather conditions such as fog, rain, snow, and low illumination introduce structured visibility degradations that severely impair object detectors trained on clear-weather…
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…
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…
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…
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity
Kok-Seng Wong, Manh Nguyen-Duc, Khiem Le-Huy +3
Nowadays, billions of phones, IoT and edge devices around the world generate data continuously, enabling many Machine Learning (ML)-based products and applications. However, due to…
CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion
Anh Le-Tuan, Manh Nguyen-Duc, Chien-Quang Le +4
We present CQELS 2.0, the second version of Continuous Query Evaluation over Linked Streams. CQELS 2.0 is a platform-agnostic federated execution framework towards semantic stream…