1 citations · 1 across the 6 of their papers we have counts for
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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…
Collaborative Perceiver: Elevating Vision-based 3D Object Detection via Local Density-Aware Spatial Occupancy
Jicheng Yuan, Manh Nguyen Duc, Qian Liu +2
Vision-based bird's-eye-view (BEV) 3D object detection has advanced significantly in autonomous driving by offering cost-effectiveness and rich contextual information. However, exi…
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…
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…
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…