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Hello, I am Jaehyeok Lee

a passionate Computer-Vison enthusiast with a keen interest in MultiModal, Object Detection, Anomaly Detection and I am always interested in various other fields as well.

Here are some of the projects I've worked on:

Description: Segmentation and Detection of Tumor ALK(-/+).

Technologies Used: Linux, Pytorch

Project Link: Tumor Segmentation & Detection

Description: translation multiple sentences to understand the relationships between individuals within the sentences.

Technologies Used: Tensorflow, SwiftUI, Docker, Flask

Project Link: Relation Application in sentences

Description: Reviewing papers, implementing, and summarizing projects on anomaly detection

• Abnormal Event Detection in Videosusing Spatiotemporal Autoencoder : ConvLSTM

• Real-World Anomaly Detection : Real World Anomaly Detection

• Unsupervised Anomaly Detection Based on Background Modeling: Unsupervised AD for Traffic Surveillance

• BeatGAN : BeatGAN

• Student-Teacher Distllation AD : Student-Teacher-AD

I am currently organizing my study records using the Notion application.

Notion focused on papers : Paper Summary

Notion focused on Knowledge of ML : Knowledge of ML

Paper Study Github : LINK

email : [email protected]