Regular biography
Prof. Seungryong Kim is a faculty member in the Department of Computer Science at KAIST, affiliated with the Kim Jaechul Graduate School of AI. His research focuses on Computer Vision, Multi-modal Learning, and Visual Computing, with applications in autonomous driving, intelligent surveillance, humanoid robots, AR/VR, the Metaverse, and healthcare. His recent work includes 3D Computer Vision, Neural Radiance Fields, and Visual Representation Learning. Prof. Kim leads the CVLAB research group and is actively involved in academic conferences and collaborations.
Scholar-generated biography
Seungryong Kim is an Associate Professor at KAIST, specializing in Computer Vision and Machine Learning. His research focuses on advancing techniques for robust scene understanding, semantic segmentation, and generative modeling. Kim's work includes improving domain generalization in urban-scene segmentation, developing emotion recognition networks, and exploring diffusion models for text-to-3D generation. He has also contributed to multi-spectral pedestrian detection, depth estimation, and visual correspondence through innovative architectures like the 4D convolutional Swin Transformer and self-similarity-based methods. His research emphasizes the integration of deep learning with real-world applications, aiming to enhance the accuracy and adaptability of computer vision systems.