66 citations · 158 across the 16 of their papers we have counts for
5 papers · 1 filter
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection
Jingyu Lin, Jie Jiang, Yan Yan +4
The prosperity of deep learning contributes to the rapid progress in scene text detection. Among all the methods with convolutional networks, segmentation-based ones have drawn ext…
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
Xinyi Zou, Yan Yan, Jing-Hao Xue +2
Most existing compound facial expression recognition (FER) methods rely on large-scale labeled compound expression data for training. However, collecting such data is labor-intensi…
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Xi Weng, Yan Yan, Genshun Dong +4
Real-time semantic segmentation, which aims to achieve high segmentation accuracy at real-time inference speed, has received substantial attention over the past few years. However,…
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
Xi Weng, Yan Yan, Si Chen +2
Over the past few years, deep convolutional neural network-based methods have made great progress in semantic segmentation of street scenes. Some recent methods align feature maps…
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Xinyi Zou, Yan Yan, Jing-Hao Xue +2
Human emotions involve basic and compound facial expressions. However, current research on facial expression recognition (FER) mainly focuses on basic expressions, and thus fails t…