About Me

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


Education

PhD in Computer Vision

3/2021 – 2/2024
Myongji University (Natural Science Campus), South Korea

MSc in Computer Vision

3/2019 – 2/2021
Myongji University (Natural Science Campus), South Korea

BEng in Automation and Control Engineering

9/2014 – 8/2018
HCMC University of Technology and Education (HCMUTE), Vietnam


Experience

Research Staff Member

4/2020 – Present
MindinTech, Inc., Seoul, South Korea

Research Assistant

3/2021 – 2/2024
Intelligent Computing Research Lab (ICRL), Myongji University, South Korea

Software Development Intern

7/2019 – 9/2019
OCST Co., Ltd., Seoul, South Korea

AI Engineer

3/2018 – 2/2019
FPT Software, Ho Chi Minh City, Vietnam

Teaching Assistant

2/2017 – 1/2018
Faculty of Electrical and Electronics Engineering, HCMUTE, Vietnam




Publications

Haze Removal via Regional Saturation-Value Translation and Soft Segmentation

LA Tran, DC Park
(under review) Preprint available on arXiv, 2024 [Code]

Clustering Optimization via Centroid Neural Network Ensemble

NC Tran, LA Tran, NP Le, J Carrabina, D Castells-Rufas, MS Nguyen, NC Dang
FMLDS 2024, IEEE [PDF | Code]

Lightweight Image Dehazing Networks based on Soft Knowledge Distillation

LA Tran, DC Park
The Visual Computer, Springer (SCIE), 2024 [PDF | Code]

POCS-based Image Compression: An Empirical Examination

TD Do, LA Tran, TD Nguyen, NN Truong, DC Park, MH Le
GTSD 2024, IEEE [PDF | Code]

Encoder-Decoder Networks with Guided Transmission Map for Effective Image Dehazing

LA Tran, DC Park
The Visual Computer, Springer (SCIE), 2024 [PDF | Code]

Cluster Analysis via Projection onto Convex Sets

LA Tran, D Kwon, HM Deberneh, DC Park
Intelligent Data Analysis, IOS Press (SCIE), 2024 [PDF | Code]

Toward Improving Robustness of Object Detectors Against Domain Shift

LA Tran, NC Tran, DC Park, J Carrabina, D Castells-Rufas
GECOST 2024, IEEE [PDF | Code]

Single Image Dehazing via Regional Saturation-Value Translation

LA Tran, D Kwon, DC Park
Procedia Computer Science, Vol. 237, Elsevier, 2024 [PDF | Code]

Embedding Clustering via Autoencoder and Projection onto Convex Set

LA Tran, TD Nguyen, TD Do, NC Tran, D Kwon, DC Park
ICSSE 2023, IEEE [PDF]

Efficient Infrared-Thermal Imaging Fusion for Human Detection in Heavy Smoke Scenarios

NN Truong, MH Le, TD Do, LA Tran, TD Nguyen, HH Trinh
ICSSE 2023, IEEE [PDF]

Encoder-Decoder Network with Guided Transmission Map: Architecture

LA Tran, DC Park
ASPAI 2022, IFSA [PDF]

Encoder-Decoder Network with Guided Transmission Map: Robustness and Applicability

LA Tran, DC Park
ISI 2022, Springer [PDF]

POCS-based Clustering Algorithm

LA Tran, HM Deberneh, TD Do, TD Nguyen, MH Le, DC Park
IWIS 2022, IEEE [PDF | Code]

A Novel Encoder-Decoder Network with Guided Transmission Map for Image Dehazing

LA Tran, S Moon, DC Park
Procedia Computer Science, Vol. 204, Elsevier, 2022 [PDF | Code]

Enhancement of Robustness in Object Detection Module for ADAS

LA Tran, TD Do, DC Park, MH Le
ICSSE 2021, IEEE [PDF | Code]

Object Detection Streaming and Data Management on Web Browser

LA Tran
Technical Report, OCST Co., Ltd., 2020 [PDF | Code]

Robust U-Net-based Road Lane Markings Detection for Autonomous Driving

LA Tran, MH Le
ICSSE 2019, IEEE [PDF]

A Vision-based Method for Autonomous Landing on a Target with a Quadcopter

LA Tran, NP Le, TD Do, MH Le
GTSD 2018, IEEE [PDF]







Blog

HTML5 Bootstrap Template by colorlib.com
Towards Data Science | 5 min read

POCS-based Clustering Algorithm Explained

Each data has different importance.

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Towards Data Science | 6 min read

EDN-GTM: Encoder-decoder Network with Guided Transmission Map

When traditional computer vision and deep learning conjugate.

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Towards Data Science | 4 min read

MetaFormer: De facto need for Vision?

What is the key to the success of Vision Transformers?

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Towards Data Science | 5 min read

Data Distillation for Object Detection

Learn from different perspectives.

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Towards Data Science | 6 min read

Learning Without Forgetting Simplified

Learn once and forever.

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Towards Data Science | 5 min read

Data Augmentation Compilation with Python and OpenCV

Prevent your model from overfitting.

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Towards Data Science | 4 min read

Darkeras: Execute YOLOv3/YOLOv4 Object Detection on Keras with Darknet Pre-trained Weights

Everything in the universe is connected.

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Towards Data Science | 4 min read

Synthesize Hazy/Foggy Images using Monodepth and Atmospheric Scattering Models

When fog is beneficial.

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Towards AI | 5 min read

A Gentle Introduction to Hint Learning & Knowledge Distillation

Guide a student to learn a teacher’s behavior.


More posts from me can be found at my Medium page.