Hi there! I'm Le-Anh Tran, a Computer Vision Scientist and a Writer for Towards Data Science.
Back in 2014, I enrolled at Ho Chi Minh City University of Technology and Education (HCMUTE). Three years later, I joined Intelligent Systems Lab (ISLab) and became a Teaching Assistant at HCMUTE. In 2018, I obtained my BEng Degree and published my first research paper. During that time, my team (ISLab) participated in the Digital Race Contest organized by FPT Corporation, where afterward I worked as an AI Engineer for one year before moving to South Korea in early 2019 to pursue postgraduate education. In 2019, I had the opportunity to be an intern at OCST Co., Ltd. in Seoul. Since 2020, I've been working as a Research Staff Member at MindinTech, Inc. in Seoul. I started my PhD journey in Spring 2021 and completed it in early 2024. My research interests include Neural Networks, Image Enhancement, Object Detection, and Cluster Analysis.
Apart from my passion for research, I also have a love for sports, singing, and drawing. Taking care of my research is always a top priority for me.
Email: tranleanh.nt@gmail.com
Profiles: ResearchGate |
GoogleScholar |
MyCV
Projects | Blogs: Github |
Medium
3/2021 – 2/2024
Myongji University (Natural Science Campus), South Korea
3/2019 – 2/2021
Myongji University (Natural Science Campus), South Korea
9/2014 – 8/2018
HCMC University of Technology and Education (HCMUTE), Vietnam
4/2020 – Present
MindinTech, Inc., Seoul, South Korea
3/2021 – 2/2024
Intelligent Computing Research Lab (ICRL), Myongji University, South Korea
7/2019 – 9/2019
OCST Co., Ltd., Seoul, South Korea
3/2018 – 2/2019
FPT Software, Ho Chi Minh City, Vietnam
2/2017 – 1/2018
Faculty of Electrical and Electronics Engineering, HCMUTE, Vietnam
LA Tran, DC Park
(under review) Preprint available on arXiv, 2024 [Code]
NC Tran, LA Tran, NP Le, J Carrabina, D Castells-Rufas, MS Nguyen, NC Dang
FMLDS 2024, IEEE [PDF | Code]
LA Tran, DC Park
The Visual Computer, Springer (SCIE), 2024 [PDF | Code]
TD Do, LA Tran, TD Nguyen, NN Truong, DC Park, MH Le
GTSD 2024, IEEE [PDF | Code]
LA Tran, DC Park
The Visual Computer, Springer (SCIE), 2024 [PDF | Code]
LA Tran, D Kwon, HM Deberneh, DC Park
Intelligent Data Analysis, IOS Press (SCIE), 2024 [PDF | Code]
LA Tran, NC Tran, DC Park, J Carrabina, D Castells-Rufas
GECOST 2024, IEEE [PDF | Code]
LA Tran, D Kwon, DC Park
Procedia Computer Science, Vol. 237, Elsevier, 2024 [PDF | Code]
LA Tran, TD Nguyen, TD Do, NC Tran, D Kwon, DC Park
ICSSE 2023, IEEE [PDF]
NN Truong, MH Le, TD Do, LA Tran, TD Nguyen, HH Trinh
ICSSE 2023, IEEE [PDF]
LA Tran, DC Park
ASPAI 2022, IFSA [PDF]
LA Tran, DC Park
ISI 2022, Springer [PDF]
LA Tran, HM Deberneh, TD Do, TD Nguyen, MH Le, DC Park
IWIS 2022, IEEE [PDF | Code]
LA Tran, S Moon, DC Park
Procedia Computer Science, Vol. 204, Elsevier, 2022 [PDF | Code]
LA Tran, TD Do, DC Park, MH Le
ICSSE 2021, IEEE [PDF | Code]
LA Tran
Technical Report, OCST Co., Ltd., 2020 [PDF | Code]
LA Tran, MH Le
ICSSE 2019, IEEE [PDF]
LA Tran, NP Le, TD Do, MH Le
GTSD 2018, IEEE [PDF]
More projects from me can be found at my Github page.
Each data has different importance.
When traditional computer vision and deep learning conjugate.
What is the key to the success of Vision Transformers?
Learn from different perspectives.
Prevent your model from overfitting.
Everything in the universe is connected.
When fog is beneficial.
Guide a student to learn a teacher’s behavior.
More posts from me can be found at my Medium page.