🛠 Tech Stack 🛠

Techs that I've used at least once.

👋 Hello I'm HyoJin Kim.

My major is computer engineering 💻. I have project experience using Python(My most confident language), C++, and Java & Android languages. I am very interested in Deep Learning. I am especially interested in Computer Vision and Image Processing.

📖 Published Papers

Index	Title
1	"Multiple-Clothing Detection and Fashion Landmark Estimation Using a Single-Stage Detector." IEEE Access 9 (2021): 11694-11704.
2	"Fashion image analysis using single-stage detector." 2020 International Conference on Image, Video Processing and Artificial Intelligence. Vol. 11584. International Society for Optics and Photonics, 2020.
3	"Designing of Loss Function for 3D Pedestrian Detection using CenterNet." 2020 3rd Artificial Intelligence and Cloud Computing Conference. 2020.
4	"Marker Based Pedestrian Detection Using Augmented Reality." Proceedings of the 2019 3rd International Conference on Advances in Image Processing. 2019.

📝 Project

Index	Category	Contents
1	Industry-Academic cooperation task	Deep Learning based real-time pedestrian clothing detection and analysis pipeline development.
2	AI Competition	K-Fashion AI Competition (Dacon, 2020), Fashion Instance segmentation model design, 4th out of 384 teams.
3	National research project	Project to create AI data for marine deposition waste detection, Sonar images and low-resolution marine waste images;
4	BSE Graduation Project	Design shoe recommendation pipelines using object detection and classification models, and develop responsive web service.
5	National research project	Generative Adversarial Network-based cerebrovascular stroke image data augmentation and segmentation.
6	Industry-Academic cooperation task	Development of pedestrian detection and tracking Deep Learning model from drone images.
7	Industry-Academic cooperation task	Develop of CPR training application design and sensor data analysis pipeline using QR code-based Virtual Reality and BLE.

📣 Contact