Techs that I've used at least once.
π Hello I'm HyoJin Kim.
My major is computer engineering π». 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.
Index | Title |
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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. |
Index | Category | Contents |
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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. |