4 papers
Adaptive Convolutional Neural Network for Image Super-resolution
Ziang Wu, Jinwei Xie, Xuanyu Zhang +4
Convolutional neural networks can automatically learn features via deep network architectures and given input samples. However, the robustness of obtained models may face challenge…
Application of convolutional neural networks in image super-resolution
Chunwei Tian, Mingjian Song, Wangmeng Zuo +3
Due to strong learning abilities of convolutional neural networks (CNNs), they have become mainstream methods for image super-resolution. However, there are big differences of diff…
A Dynamic Transformer Network for Vehicle Detection
Chunwei Tian, Kai Liu, Bob Zhang +3
Stable consumer electronic systems can assist traffic better. Good traffic consumer electronic systems require collaborative work between traffic algorithms and hardware. However,…
A Tree-guided CNN for image super-resolution
Chunwei Tian, Mingjian Song, Xiaopeng Fan +3
Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not…