167 citations · 370 across the 17 of their papers we have counts for
7 papers · 1 filter
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Guangwei Gao, Wenjie Li, Juncheng Li +3
Convolutional neural networks based single-image super-resolution (SISR) has made great progress in recent years. However, it is difficult to apply these methods to real-world scen…
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation
Guangwei Gao, Guoan Xu, Juncheng Li +3
Real-time semantic segmentation, which can be visually understood as the pixel-level classification task on the input image, currently has broad application prospects, especially i…
Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
Guangwei Gao, Yi Yu, Jian Yang +2
Cross-resolution face recognition (CRFR), which is important in intelligent surveillance and biometric forensics, refers to the problem of matching a low-resolution (LR) probe face…
Leaning Compact and Representative Features for Cross-Modality Person Re-Identification
Guangwei Gao, Hao Shao, Fei Wu +2
This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared…
JDSR-GAN: Constructing An Efficient Joint Learning Network for Masked Face Super-Resolution
Guangwei Gao, Lei Tang, Fei Wu +2
With the growing importance of preventing the COVID-19 virus, face images obtained in most video surveillance scenarios are low resolution with mask simultaneously. However, most o…
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
Guangwei Gao, Guoan Xu, Yi Yu +3
In recent years, how to strike a good trade-off between accuracy and inference speed has become the core issue for real-time semantic segmentation applications, which plays a vital…
Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network
Zhengxue Wang, Guangwei Gao, Juncheng Li +2
Recently, the single image super-resolution (SISR) approaches with deep and complex convolutional neural network structures have achieved promising performance. However, those meth…