8 citations · 12 across the 3 of their papers we have counts for
4 papers
Trimodal Context-Aware Micro-Expression Recognition in Real-World Conversations: A Dataset and a Hierarchical Fusion Network
Junbo Wang, Yan Zhao, Shigang Wang +3
Recognizing micro-expressions in real-world conversations is challenging, as these facial movements are brief and faint, and their interpretations are strongly dependent on the con…
MMED: A Multimodal Micro-Expression Dataset based on Audio-Visual Fusion
Junbo Wang, Yan Zhao, Shuo Li +3
Micro-expressions (MEs) are crucial leakages of concealed emotion, yet their study has been constrained by a reliance on silent, visual-only data. To solve this issue, we introduce…
4-D Epanechnikov Mixture Regression in Light Field Image Compression
Boning Liu, Yan Zhao, Xiaomeng Jiang +2
With the emergence of light field imaging in recent years, the compression of its elementary image array (EIA) has become a significant problem. Our coding framework includes model…
Three-dimensional Epanechnikov mixture regression in image coding
Boning Liu, Yan Zhao, Xiaomeng Jiang +1
Kernel methods have been studied extensively in recent years. We propose a three-dimensional (3-D) Epanechnikov Mixture Regression (EMR) based on our Epanechnikov Kernel (EK) and r…