About
Github |
Profile :
[Present]
Honor Program in Computer Science, UIT-VNU.
Interests :
Machine Learning, Deep Learning, Computer Vision, Data Science
Projects:
- ID Card Digitization and Information Extraction
- Examined to use CRAFT, PIXELLINK, CTPN for text detection module and VIETOCR for text recognition module
- Created synthetic data for ID card images
- Built a post processing module based on database retrieval to correct text error
- Designed a web service to deploy the service
- Script Identification in the wild(SIW2021) - ICDAR2021(A - Rank Conference)
- Developed EfficientNet B7 for a competive solution
- Ranked top 4 in the final leader board and become co-author in the associated conference paper in ICDAR 2021
- Abdominal Multi Organ Segmentation (FLARE2021) - MICCAI2021(A - Rank Conference)
- Presented an approach based on 2D segmentation
- Exploit model optimization techniques in Pytorch to optimize infernece speed and GPU memory
- Ranked top 6 in the final leader board and made an oral presentation in the satteline event of MICCAI conference
- Vehicle Counting - Ho Chi Minh City AI-Challenge 2020
- Designed a solution using Detectron2, DeepSort
- Ranked top 18/217 in the final leader boardTraffic Sign Detection - Zalo AI Challenge 2020
- Designed a solution using Detectron2
- Ranked top 17 in the final leader board and get Honorable Mention Award
- Smart Citizens for Smart Cities - AI Hackathon 2020 @ AI4VN
- Creative Ideas Award
- Honorable Mention Award
- Awarded for the fastest and most efficient submit(3/10 submits)
- Generative Adversarial Networks for Photo Cartoonization
- Build an Style Tranfer network for photo cartoonization
- Deploy the model into a mobile app
- Landmark Retrieval
- Experiment the performance of many Deep Leaning based feature extractors
- Study the use of DELG model for the retrieval problem
- Deploy a web application that can search for related image as well as their location information based on an inputimage
- View Synthesis
- Study the use of NERF model
- Finish the completed pipeline for data formatting and model retraining
Publications:
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Nguyen, Quoc-Cuong, et al. “Efficient Multi-Organ Segmentation Using HRNet And OCRNet.” 2022 RIVF International Conference on Computing and Communication Technologies (RIVF). IEEE, 2022.
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Nguyen, Huy Q., et al. “Enhancing few-shot image classification with cosine transformer.” IEEE Access (2023).
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Das, A., Ferrer, M. A., Morales, A., Diaz, M., Pal, U., Impedovo, D., … & Gattal, A. (2021, September). ICDAR 2021 Competition on Script Identification in the Wild. In International Conference on Document Analysis and Recognition (pp. 738-753). Springer, Cham.
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MA, Jun, et al. Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge. Medical Image Analysis, 2022, 82: 102616.
Award:
• Vietnam Southern Provicial Programming Contest, HCM, VN
• Third Prize in 2018 Vietnam National Programming Contest
• Honorable Mention in 2018 ICPC Asia Southeast and Pacific Hanoi Regional Contest
• Second Prize in 2019 Vietnam National Programming Contest
• First Prize in 2019 UIT ACM Programming Contest
• Honorable Mention in 2020 ICPC Asia Can Tho Regional Contest
• Third Prize in Vietnam Informatic Student Olypic 2018
• Top 4 in ICDAR Competition on Script Identification in the Wild
• Top 6 in FLARE2021-Fast and Low GPU memory Abdominal oRgan sEgmentation
• Hornorable Mention in Computer Vision Track of Zalo AI Challenge 2020
• AI Hackathon 2020 @ AI4VN
• Creative Ideas Award
• Honorable Mention Award
• Awarded for the fastest and most efficient submit(3/10 submits)
• First Prize in Competitive Programming Competition with NetCompany
Contact :
E-mail :
18520206@gm.uit.edu.vn