Gang Dai (代港)

Ph.D. student,
South China University of Technology

E-mail: eedaiagng [AT] mail.scut.edu.cn

GitHub    /    Google Scholar    /    Research Gate    /    DBLP

About me

I'm a final-year Ph.D. student at South China University of Technology (SCUT), under the supervision of Prof. Shuangping Huang. Before my Ph.D., I was a master student in Software Engineering at SCUT, supervised by Associate Prof. Qin Du. Earlier, I received my B.Eng degree (2015-2019) from China University of Geosciences, beautifully located on the shores of East Lake in Wuhan.

I am excited to leverage deep generative techniques to synthesize personalized visual content, including image and vector generation.

Publications
AES 2024   Semantic-Enhanced Zero-shot Oracle Character Recognition
Zonghao Liu, Wenjie Peng, Gang Dai, Shuangping Huang, Yongge Liu
Acta Electronica Sinica (AES), 2024
PDF
ECCV 2024   One-Shot Diffusion Mimicker for Handwritten Text Generation
Gang Dai, Yifan Zhang, Quhui Ke, Qiangya Guo, Shuangping Huang
European Conference on Computer Vision (ECCV), 2024 (350+ github stars)
PDF / Code / Poster / 机器之心
ECCV 2024   Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang
European Conference on Computer Vision (ECCV), 2024 (Oral)
PDF / Code
IJCV 2024   Globally Correlation-Aware Hard Negative Generation
Wenjie Peng, Hongxiang Huang, Tianshui Chen, Quhui Ke, Gang Dai, Shuangping Huang
International Journal of Computer Vision (IJCV), 2024
PDF / Code
PRL 2024   Contrastive representation enhancement and learning for handwritten mathematical expression recognition
Zihao Lin, Jinrong Li, Gang Dai, Tianshui Chen, Shuangping Huang, Jianmin Lin
Pattern Recognition Letters (PRL), 2024
PDF
CVPR 2023   Disentangling writer and character styles for handwriting generation
Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (1100+ github stars)
PDF / Code / Video / Poster / 机器之心
ACM MM 2022   Agtgan: Unpaired image translation for photographic ancient character generation
Hongxiang Huang*, Gang Dai(co-first)*, Daihui Yang*, Zhen Han, Yuyi Wang, Kin-Man Lam, Fan Yang, Shuangping Huang
ACM International Conference on Multimedia (ACM MM), 2022
PDF / Code
ICDAR 2021   A new semi-automatic annotation model via semantic boundary estimation for scene text detection
Zhenzhou Zhuang, Zonghao Liu, Kin-Man Lam, Shuangping Huang, Gang Dai
International Conference on Document Analysis and Recognition (ICDAR), 2021 (Best Poster Award)
PDF
Invited Talks
  • 10/2023     I was invited by CSIG (China Society of Image and Graphics) to present a talk (in Chinese)
  • 09/2024     I spoke at Youth Talk-ECCV 2024, organized by AI TIME
    • Experience
  • 04/2023 - 08/2024   Research Intern, Guangdong Artificial Intelligence and Digital Economy Laboratory
  • 09/2018 - 09/2019   Research Intern, Visual Group, CVTE Research, supervised by Prof. Mingkui Tan
  • Project: Human Segmentation for Intelligence Education
    • Awards and Scholarships
    09/2021 Best Poster Award, ICDAR 2021
    11/2018 The 11th Challenge Cup China College Students' Entrepreneurship Competition
    National Silver Award   (Top 0.1% of 150,000 participating teams)
    05/2018 Hubei Province College Students' Entrepreneurship Competition, Gold Award
    12/2017
    12/2016     		National Encouragement Scholarship*2 (Top 5%)
    Education
  • 09/2021 - Present, Ph.D. Student, InfoComm Engineering, South China University of Technology.
  • Master-doctor continuous study program
  • 09/2019 - 06/2021, Master Student, Software Engineering, South China University of Technology.
  • 09/2015 - 06/2019, B.Eng degree, Information Engineering, China University of Geosciences.
  • Outstanding Undergraduate Graduate, GPA Ranking: 1/31
    • Academic Services

    • Review: ICCV'25, CVPR'25, ICLR'25, TIP'24, TOG'24, CVPR'24, CVPR'23, CVPR'22 etc

    • Teaching Assistant: 2021 Fall Digital Signal Processing, 2019 Fall Data Structure & Machine Learning

    -------------------------------------------------------------------------------------
    ^_^ The source code is adapted from both Jon Barron and Lanqing Guo.
    Last updated:       #Views: , #Visitors: (since 14/09/2024)