4 citations · 6 across the 5 of their papers we have counts for
5 papers
CANF-VC++: Enhancing Conditional Augmented Normalizing Flows for Video Compression with Advanced Techniques
Peng-Yu Chen, Wen-Hsiao Peng
Video has become the predominant medium for information dissemination, driving the need for efficient video codecs. Recent advancements in learned video compression have shown prom…
Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding
Yung-Han Ho, Chih-Hsuan Lin, Peng-Yu Chen +4
This paper proposes a learning-based video compression framework for variable-rate coding on YUV 4:2:0 content. Most existing learning-based video compression models adopt the trad…
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows
Mu-Jung Chen, Yi-Hsin Chen, Wen-Hsiao Peng
Over the past few years, learning-based video compression has become an active research area. However, most works focus on P-frame coding. Learned B-frame coding is under-explored…
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen +2
This paper presents an end-to-end learning-based video compression system, termed CANF-VC, based on conditional augmented normalizing flows (CANF). Most learned video compression s…
Training-free Monocular 3D Event Detection System for Traffic Surveillance
Lijun Yu, Peng Chen, Wenhe Liu +2
We focus on the problem of detecting traffic events in a surveillance scenario, including the detection of both vehicle actions and traffic collisions. Existing event detection sys…