2 citations · 2 across the 3 of their papers we have counts for
4 papers
Rethinking Pre-Training and Augmentation for Zero-Shot Cross-City Object Detection
Long Hoang Pham, Quoc Pham-Nam Ho, Huy-Hung Nguyen +10
Real-world deployment of traffic surveillance systems is bottlenecked by geographic domain shift, in which models trained in one city underperform when applied to an unseen target…
Syn2RealTrack: Bridging the Gap Between Synthetic and Real-World Datasets for Online Multi-View Multi-Target Tracking
Duong Nguyen-Ngoc Tran, Ngoc Doan-Minh Huynh, Cu Quoc Le +10
Multi-camera 3D perception systems for warehouse scenes are trained largely on synthetic data and evaluated on physically captured environments. The resulting synthetic-to-real gap…
TSBOW -- Traffic Surveillance Benchmark for Occluded Vehicles Under Various Weather Conditions
Ngoc Doan-Minh Huynh, Duong Nguyen-Ngoc Tran, Long Hoang Pham +10
Global warming has intensified the frequency and severity of extreme weather events, which degrade CCTV signal and video quality while disrupting traffic flow, thereby increasing t…
Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection
Trinh Le Ba Khanh, Huy-Hung Nguyen, Long Hoang Pham +2
In object detection, unsupervised domain adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain. However, UDA's reliance on labeled…