6 papers · 1 filter
Decoupled Object-Centric Video Understanding for Generating Robotic Manipulation Commands
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Translating video demonstrations into executable robot commands remains challenging because existing methods often fail to identify which objects are functionally involved in the d…
Compressed Video Quality Enhancement: Classifying and Benchmarking over Standards
Xiem HoangVan, Dang BuiDinh, Sang NguyenQuang +1
Compressed video quality enhancement (CVQE) is crucial for improving user experience with lossy video codecs like H.264/AVC, H.265/HEVC, and H.266/VVC. While deep learning based CV…
A Rate-Quality Model for Learned Video Coding
Sang NguyenQuang, Cheng-Wei Chen, Xiem HoangVan +1
Learned video coding (LVC) has recently achieved superior coding performance. In this paper, we model the rate-quality (R-Q) relationship for learned video coding by a parametric f…
ESRPCB: an Edge guided Super-Resolution model and Ensemble learning for tiny Printed Circuit Board Defect detection
Xiem HoangVan, Dang Bui Dinh, Thanh Nguyen Canh +1
Printed Circuit Boards (PCBs) are critical components in modern electronics, which require stringent quality control to ensure proper functionality. However, the detection of defec…
Enhancing Quality for VVC Compressed Videos with Omniscient Quality Enhancement Model
Xiem HoangVan, Hieu Bui Minh, Sang NguyenQuang +1
The latest video coding standard H.266/VVC has shown its great improvement in terms of compression performance when compared to its predecessor HEVC standard. Though VVC was implem…
Fast-OMRA: Fast Online Motion Resolution Adaptation for Neural B-Frame Coding
Sang NguyenQuang, Zong-Lin Gao, Kuan-Wei Ho +2
Most learned B-frame codecs with hierarchical temporal prediction suffer from the domain shift issue caused by the discrepancy in the Group-of-Pictures (GOP) size used for training…