most citedLow-Light Image and Video Enhancement: A Comprehensive Survey and Beyond

15 citations · 33 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 15 cited

Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond

Shen Zheng, Yiling Ma, Jinqian Pan +2

This paper presents a comprehensive survey of low-light image and video enhancement, addressing two primary challenges in the field. The first challenge is the prevalence of mixed…

cs.CV2022★ 5 cited

PointNorm: Dual Normalization is All You Need for Point Cloud Analysis

Shen Zheng, Jinqian Pan, Changjie Lu +1

Point cloud analysis is challenging due to the irregularity of the point cloud data structure. Existing works typically employ the ad-hoc sampling-grouping operation of PointNet++,…

cs.AI2022

Functional Optimization Reinforcement Learning for Real-Time Bidding

Yining Lu, Changjie Lu, Naina Bandyopadhyay +2

Real-time bidding is the new paradigm of programmatic advertising. An advertiser wants to make the intelligent choice of utilizing a \textbf{Demand-Side Platform} to improve the pe…

eess.IV2022★ 2 cited

AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE

Changjie Lu, Shen Zheng, Zirui Wang +2

Recently, introspective models like IntroVAE and S-IntroVAE have excelled in image generation and reconstruction tasks. The principal characteristic of introspective models is the…

eess.IV2022

Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization

Changjie Lu, Shen Zheng, Gaurav Gupta

Unsupervised domain adaptation approaches have recently succeeded in various medical image segmentation tasks. The reported works often tackle the domain shift problem by aligning…

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…