30 citations · 73 across the 8 of their papers we have counts for
8 papers
Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN
Guoan Xu, Juncheng Li, Guangwei Gao +3
In the past decade, convolutional neural networks (CNNs) have shown prominence for semantic segmentation. Although CNN models have very impressive performance, the ability to captu…
Thunder: Thumbnail based Fast Lightweight Image Denoising Network
Yifeng Zhou, Xing Xu, Shuaicheng Liu +3
To achieve promising results on removing noise from real-world images, most of existing denoising networks are formulated with complex network structure, making them impractical fo…
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…
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…
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…
ORD: Object Relationship Discovery for Visual Dialogue Generation
Ziwei Wang, Zi Huang, Yadan Luo +1
With the rapid advancement of image captioning and visual question answering at single-round level, the question of how to generate multi-round dialogue about visual content has no…
Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval
Yadan Luo, Ziwei Wang, Zi Huang +2
With the increasing number of online stores, there is a pressing need for intelligent search systems to understand the item photos snapped by customers and search against large-sca…