most citedSemantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement

11 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Asian Giant Hornet Control based on Image Processing and Biological Dispersal

Changjie Lu, Shen Zheng, Hailu Qiu

The Asian giant hornet (AGH) appeared in Washington State appears to have a potential danger of bioinvasion. Washington State has collected public photos and videos of detected ins…

cs.CV2021

SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining

Shen Zheng, Changjie Lu, Yuxiong Wu +1

Deep learning algorithms have recently achieved promising deraining performances on both the natural and synthetic rainy datasets. As an essential low-level pre-processing stage, a…

cs.CV2021★ 11 cited

Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement

Shen Zheng, Gaurav Gupta

Low-light images challenge both human perceptions and computer vision algorithms. It is crucial to make algorithms robust to enlighten low-light images for computational photograph…

cs.LG2021

Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network

Kanya Mo, Shen Zheng, Xiwei Wang +2

The fully connected (FC) layer, one of the most fundamental modules in artificial neural networks (ANN), is often considered difficult and inefficient to train due to issues includ…

cs.CV2018★ 6 cited

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation

Cheng Bian, Xin Yang, Jianqiang Ma +5

Accurately segmenting left atrium in MR volume can benefit the ablation procedure of atrial fibrillation. Traditional automated solutions often fail in relieving experts from the l…