Ruilu Wang

ruiluwang2rylonw@gmail.com
+86 18049240195
Guangzhou, China
M.S. Information and Communication Engineering
South China University of Technology
B.S. Information Engineering
South China University of Technology
Transcript: Link
Thesis:
Unsupervised Ancient Document Denoising Based on Attention Mechanism
Link: https://github.com/RylonW/CycleSE-GAN
Advisor: Yang Xue
Deep Learning and Vision Computing Lab
South China University of Technology
Research Topics:
Document Image Enhancement, Ancient Document Image Denoising and Text Recognition
Advisor: Yang Xue
Website: http://www.dlvc-lab.net/
Xituzhiguang Ltd.
Research Topics: Exposure Correction
Advisor: Zongqing Ho
Website: https://www.xitu3d.com/
Outstanding Undergraduate Thesis
South China University of Technology
Second Prize Scholarship of Outstanding Students
South China University of Technology
Third Prize Scholarship of Outstanding Students
South China University of Technology
DocNLC A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations
AAAI 2024
Software copyright of a big data visualization and analysis platform
Registration number : 2020SR1876324