16 citations · 38 across the 5 of their papers we have counts for
4 papers · 1 filter
ShadowFormer: Global Context Helps Image Shadow Removal
Lanqing Guo, Siyu Huang, Ding Liu +2
Recent deep learning methods have achieved promising results in image shadow removal. However, most of the existing approaches focus on working locally within shadow and non-shadow…
Dynamic Proposals for Efficient Object Detection
Yiming Cui, Linjie Yang, Ding Liu
Object detection is a basic computer vision task to loccalize and categorize objects in a given image. Most state-of-the-art detection methods utilize a fixed number of proposals a…
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
Yuhao Huang, Hang Dong, Jinshan Pan +5
The success of existing video super-resolution (VSR) algorithms stems mainly exploiting the temporal information from the neighboring frames. However, none of these methods have di…
Learning a Mixture of Deep Networks for Single Image Super-Resolution
Ding Liu, Zhaowen Wang, Nasser Nasrabadi +1
Single image super-resolution (SR) is an ill-posed problem which aims to recover high-resolution (HR) images from their low-resolution (LR) observations. The crux of this problem l…