15 citations · 37 across the 11 of their papers we have counts for
5 papers · 1 filter
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
Ding Liu, Bihan Wen, Jianbo Jiao +3
Image denoising and high-level vision tasks are usually handled independently in the conventional practice of computer vision, and their connection is fragile. In this paper, we co…
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting
Ramakrishna Prabhu, Xiaojing Yu, Zhangyang Wang +3
This paper studies the challenging problem of fingerprint image denoising and inpainting. To tackle the challenge of suppressing complicated artifacts (blur, brightness, contrast,…
Non-Local Recurrent Network for Image Restoration
Ding Liu, Bihan Wen, Yuchen Fan +2
Many classic methods have shown non-local self-similarity in natural images to be an effective prior for image restoration. However, it remains unclear and challenging to make use…
Image Super-Resolution via Dual-State Recurrent Networks
Wei Han, Shiyu Chang, Ding Liu +3
Advances in image super-resolution (SR) have recently benefited significantly from rapid developments in deep neural networks. Inspired by these recent discoveries, we note that ma…
Survey of Face Detection on Low-quality Images
Yuqian Zhou, Ding Liu, Thomas Huang
Face detection is a well-explored problem. Many challenges on face detectors like extreme pose, illumination, low resolution and small scales are studied in the previous work. Howe…