activity
20172022
most citedMDCN: Multi-scale Dense Cross Network for Image Super-Resolution

7 citations · 23 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CV2022

Flow Guidance Deformable Compensation Network for Video Frame Interpolation

Pengcheng Lei, Faming Fang, Guixu Zhang

Motion-based video frame interpolation (VFI) methods have made remarkable progress with the development of deep convolutional networks over the past years. While their performance…

cs.CV2022

Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation

Juncheng Li, Hanhui Yang, Qiaosi Yi +4

Single image denoising (SID) has achieved significant breakthroughs with the development of deep learning. However, the proposed methods are often accompanied by plenty of paramete…

cs.CV20216 cited

Structure-Preserving Deraining with Residue Channel Prior Guidance

Qiaosi Yi, Juncheng Li, Qinyan Dai +3

Single image deraining is important for many high-level computer vision tasks since the rain streaks can severely degrade the visibility of images, thereby affecting the recognitio…

cs.CV20213 cited

Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation

Qinyan Dai, Juncheng Li, Qiaosi Yi +2

Under stereo settings, the problem of image super-resolution (SR) and disparity estimation are interrelated that the result of each problem could help to solve the other. The effec…

cs.CV20211 cited

Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing

Qiaosi Yi, Juncheng Li, Faming Fang +2

Single image dehazing is a challenging ill-posed problem that has drawn significant attention in the last few years. Recently, convolutional neural networks have achieved great suc…

eess.IV20201 cited

Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray

Yixuan Sun, Chengyao Li, Qian Zhang +2

In recent years, the prevalence of several pulmonary diseases, especially the coronavirus disease 2019 (COVID-19) pandemic, has attracted worldwide attention. These diseases can be…