Regular biography
Junmo Kim is a Faculty member in the School of Electrical Engineering at KAIST. His research focuses on artificial intelligence, with an emphasis on computer vision, multimodal learning, and AI safety. The KAIST SIIT Lab, led by Prof. Kim, explores the foundations and applications of AI across various domains, including 3D computer vision, generative models, and medical AI. Recent work includes contributions to major conferences such as ICML, ACL, CVPR, and NeurIPS. Prof. Kim was recognized with the Outstanding Lecture Award at KAIST EE in 2025. The lab also engages in student mentorship and research collaboration.
Scholar-generated biography
Junmo Kim is a professor in the School of Electrical Engineering at KAIST, specializing in Statistical Signal Processing, Image Processing, Computer Vision, Machine Learning, and Information Theory. His research focuses on developing advanced algorithms for image segmentation, facial expression recognition, and deep neural networks, with an emphasis on improving model efficiency and robustness in the presence of noisy data. Kim's work includes contributions to knowledge distillation, transfer learning, and nonparametric methods for image analysis. His publications explore topics such as salient region detection, lane detection, and generative-contrastive networks for facial expression recognition.