About Me
Hi ~ I’m Le-Anh Tran, PhD, an AI Researcher/Engineer who enjoys delving into artificial neural networks, understanding their inner workings, and enhancing their capabilities to be better and more useful in real-world applications.
My expertise lies in Image Enhancement and Understanding. I’m proficient in Python with hands-on experience in various computer vision projects based on TensorFlow and PyTorch. I love creating innovative AI algorithms, and I stay sharp by reading and publishing research papers.
Outside of work, I enjoy unwinding through art and sports. I sketch and sing on occasion. I am also a big fan of 3-cushion billiards and soccer.
Email: tranlevision@gmail.com
Profiles: ResearchGate |
GoogleScholar |
MyResume
Projects | Blogs: Github |
Medium
Education
3/2021 – 2/2024
Myongji University, South Korea
3/2019 – 2/2021
Myongji University, South Korea
9/2014 – 8/2018
HCMC University of Technology and Engineering (HCMUTE), Vietnam
Experience
1/2026 – Now
DeltaX Co., Ltd., Seoul, South Korea
4/2020 – 5/2025
MindinTech, Inc., Seoul, 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
Publications
My notable publications:
Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent FeaturesLA Tran
Pattern Recognition, 2026
LA Tran, DC Park
Neural Computing and Applications, 2025
LA Tran, DC Park
The Visual Computer, 2024
LA Tran, DC Park
The Visual Computer, 2024
LA Tran, D Kwon, HM Deberneh, DC Park
Intelligent Data Analysis, 2024
LA Tran, NC Tran, DC Park, J Carrabina, D Castells-Rufas
GECOST 2024, IEEE
LA Tran, D Kwon, DC Park
Procedia Computer Science, 2024
LA Tran, HM Deberneh, TD Do, TD Nguyen, MH Le, DC Park
IWIS 2022, IEEE
LA Tran, S Moon, DC Park
Procedia Computer Science, 2022
LA Tran, MH Le
ICSSE 2019, IEEE
Services
IEEE Transactions on Image Processing
IEEE Transactions on Intelligent Transportation Systems
Biomedical Signal Processing and Control
Pattern Recognition
Neurocomputing
Intelligent Data Analysis
Supercomputing
Scientific Reports
The Visual Computer
Signal, Image and Video Processing
Writing
Towards Data Science
Level Up Coding
Towards AI
Blog
POCS-based Clustering Algorithm Explained
Each data has different importance.
EDN-GTM: Encoder-decoder Network with Guided Transmission Map
When traditional computer vision and deep learning conjugate.
MetaFormer: De facto need for Vision?
What is the key to the success of Vision Transformers?
Data Distillation for Object Detection
Learn from different perspectives.
Data Augmentation Compilation with Python and OpenCV
Prevent your model from overfitting.
Darkeras: Execute YOLOv3/YOLOv4 Object Detection on Keras with Darknet Pre-trained Weights
Everything in the universe is connected.
Synthesize Hazy/Foggy Images using Monodepth and Atmospheric Scattering Models
When fog is beneficial.
A Gentle Introduction to Hint Learning & Knowledge Distillation
Guide a student to learn a teacher’s behavior.
*More posts can be found at my Medium page.