South Korea
Deep Learning, Computer Vision Engineer My research fields are as follows: - semi-supervised, self-supervised learning, weakly-supervised learning - object detection, semantic segmentation, pose estimation - unsupervised domain adaptation - active learning, uncertainty estimation, knowledge distillation
Develop Vision Engine : Object detection, Semantic segmentation Research Machine Learning : Active learning, Anomaly detection
Develop Automatic Annotator (AA) network on Semantic Segmentation - Generate 300,000+ pseudo labels to help manual labeler and train on-device network Prototyping SOTA networks, modules and learning theories - Rank 1st in Cityscape pixel level labeling benchmark - develop Semi-supervised learning theory