Regensburg University of Applied Sciences
Exchange Student Program, AI and Data Science
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I am an AI researcher with hands-on experience in computer vision and multimodal perception, focusing on 3D scene understanding, object tracking, and domain adaptation. Through my research at Soongsil University’s Visual Intelligence and Platform Lab and OTH Regensburg’s Medical Image Computing Lab, I have worked on diverse datasets such as KITTI, and nuScenes building and evaluating deep learning models for object detection, 6D pose estimation, and medical image analysis. My work emphasizes data quality, domain generalization, and robustness across visual conditions—all essential for reliable AI training data. With strong technical proficiency in Python, PyTorch, and OpenCV, I bring both analytical and practical expertise in dataset preprocessing, annotation, and model fine-tuning. My projects demonstrate a deep understanding of how well-curated and consistently labeled data improve model performance and real-world applicability.
Byeongseok L. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Exchange Student Program, AI and Data Science
Bachelor of Science, Engineering (AI Convergence)
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