111 citations · 305 across the 32 of their papers we have counts for
10 papers · 1 filter
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…
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Changjie Lu
Statistical machine learning algorithms have achieved state-of-the-art results on benchmark datasets, outperforming humans in many tasks. However, the out-of-distribution data and…
LANS: Large-scale Arabic News Summarization Corpus
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He +1
Text summarization has been intensively studied in many languages, and some languages have reached advanced stages. Yet, Arabic Text Summarization (ATS) is still in its developing…
Memetic algorithms for Spatial Partitioning problems
Subhodip Biswas, Fanglan Chen, Zhiqian Chen +2
Spatial optimization problems (SOPs) are characterized by spatial relationships governing the decision variables, objectives, and/or constraint functions. In this article, we focus…
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++,…
Sampling-based techniques for designing school boundaries
Subhodip Biswas, Fanglan Chen, Zhiqian Chen +2
Recently, an increasing number of researchers, especially in the realm of political redistricting, have proposed sampling-based techniques to generate a subset of plans from the va…
Contrastive Graph Multimodal Model for Text Classification in Videos
Ye Liu, Changchong Lu, Chen Lin +2
The extraction of text information in videos serves as a critical step towards semantic understanding of videos. It usually involved in two steps: (1) text recognition and (2) text…
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…
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…
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…