Quang-Vinh Dang Multimedia and Image Processing Lab Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Korea, 61186. Email: 186433@jnu.ac.kr [Google Scholar] [Github]

Biography

I am currently a postdoctoral researcher at the Multimedia and Image Processing Lab in the Department of Artificial Intelligence Convergence at Chonnam National University. I earned my Ph.D. from the same university in 2022 and previously served as a lecturer at Eastern International University.

Research Interest

I'm involved in various computer vision challenges, with my current research emphasis being on the following areas:

• Image Synthesis


• Multimodal Deep Learning


• Generative AI


• Image Restoration


• Text Image

Selected Publications with First Author

• Quang-Vinh Dang, Guee-Sang Lee
  “Scene Text Segmentation by Paired Data Synthesis”. In: The 30th IEEE International Conference on Image Processing (ICIP2023), p. 545-549. DOI: 10.1109/ICIP49359.2023.10222845.


• Quang-Vinh Dang, Guee-Sang Lee
  “Scene text segmentation via multi-task cascade transformer with paired data synthesis”. In: IEEE Access 11 (2023), p. 67791-67805. DOI: 10.1109/ACCESS.2023.3292264.


• Quang-Vinh Dang, Guee-Sang Lee
  “Utilizing 3D Information from Point Clouds to Support Document Image Binarization”. In: EasyChair (2022).


• Quang-Vinh Dang, Guee-Sang Lee
  “Document image binarization with stroke boundary feature guided network”. In: IEEE Access 9 (2021), p. 36924-36936. DOI: 10.1109/ACCESS.2021.3062904.


• Quang-Vinh Dang, Guee-Sang Lee
  “Document Image Binarization with Contour and Feature Supervision”. In: The 2020 International Conference on Smart Media and Applications , p. 277–280. DOI: 10.1145/3426020.3426090.


• Quang-Vinh Dang, Guee-Sang Lee
  “Document Image Binarization by GAN with Unpaired Data Training.”. In: International Journal of Contents 16 (2020), p. 8-18. DOI: 10.5392/IJoC.2020.16.2.008.


• Quang-Vinh Dang, Guee-Sang Lee
  “Document Image Binarization Using Multi-scale Fusion Network.”. In: Journal of Korean Institute of Information Scientists and Engineers 46 (2019), p. 1314-1321. DOI: 0.5626/JOK.2019.46.12.1314.


• Quang-Vinh Dang, Guee-Sang Lee
  “Document Image Binarization with Multi-scale Fusion Network.”. In: The 2019 Korea Computer Congress (KCC), p. 820-822.

Professional Experience

• Postdoctoral Research, Artificial Intelligence Convergence Dept., Chonnam National University, 2022 - Current.


• Lecturer, Mechatronics Engineering Dept., Eastern International University, 2013-2018.


• Graduate Research Assistant, Mechatronics Dept., Ho Chi Minh City Technology University, 2011-2013.

Awards

• The 4th Place in Multimodal Emotion Recognition on Comics scenes Competition (Held in Conjunction with ICDAR 2021)


• The 3rd Place in Document Image Binarization Competition (Held in Conjunction with ICDAR 2019)


• The Best Paper in Korea Computer Congress (This is the largest computer science conference in Korea)

Services

Conference/Journal Reviewer:

• IEEE Acess Journal


• International Conference on Document Analysis and Recognition (ICDAR)