25 citations · 34 across the 5 of their papers we have counts for
5 papers
Cross-View Hierarchy Network for Stereo Image Super-Resolution
Wenbin Zou, Hongxia Gao, Liang Chen +4
Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views. To attain superior performance…
Perceiving and Modeling Density is All You Need for Image Dehazing
Tian Ye, Mingchao Jiang, Yunchen Zhang +4
In the real world, the degradation of images taken under haze can be quite complex, where the spatial distribution of haze is varied from image to image. Recent methods adopt deep…
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
Wenbin Zou, Mingchao Jiang, Yunchen Zhang +3
Image deblurring is a classical computer vision problem that aims to recover a sharp image from a blurred image. To solve this problem, existing methods apply the Encode-Decode arc…
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
Yonggan Fu, Zhongzhi Yu, Yongan Zhang +6
The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT) devices has motivated a tremendous demand for automated solutions to enable fast development and deployment…
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier
Arkabandhu Chowdhury, Mingchao Jiang, Swarat Chaudhuri +1
Recent papers have suggested that transfer learning can outperform sophisticated meta-learning methods for few-shot image classification. We take this hypothesis to its logical con…