6 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 5 cited
Self-Supervised Deep Blind Video Super-Resolution
Haoran Bai, Jinshan Pan
Existing deep learning-based video super-resolution (SR) methods usually depend on the supervised learning approach, where the training data is usually generated by the blurring op…
cs.CV2020★ 6 cited
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
Jinshan Pan, Haoran Bai, Jinhui Tang
We present a simple and effective deep convolutional neural network (CNN) model for video deblurring. The proposed algorithm mainly consists of optical flow estimation from interme…
cs.CV2020
Deep Blind Video Super-resolution
Jinshan Pan, Songsheng Cheng, Jiawei Zhang +1
Existing video super-resolution (SR) algorithms usually assume that the blur kernels in the degradation process are known and do not model the blur kernels in the restoration. Howe…