Min H. Kim

Min H. Kim is a researcher at KAIST, where he leads work in computational imaging and computer graphics. His research focuses on computational imaging, computer graphics, and computer vision, with an emphasis on novel imaging techniques and their applications in both academic and industrial contexts. Kim's work has been widely published in top-tier conferences and journals, including ACM Transactions on Graphics and IEEE/CVF Computer Vision and Pattern Recognition. He has made significant contributions to the fields of hyperspectral imaging, polarimetric reflectance, and inverse rendering, with a particular focus on improving the accuracy and efficiency of imaging systems. Kim has also been recognized for his leadership in advancing the state of the art in computational imaging and for his impactful research that bridges the gap between theory and practical applications.

Min H. Kim is a Professor of Computer Science at KAIST, specializing in Computational Imaging. His research focuses on advancing imaging technologies through innovative methods in Hyperspectral Imaging, 3D Imaging, and Polarimetric Imaging. His work explores techniques for high-quality hyperspectral reconstruction, efficient computation of indirect illumination, and real-time correction of multipath interference in time-of-flight imaging. He also investigates extreme view synthesis, compact snapshot hyperspectral imaging, and image-based acquisition of polarimetric reflectance. His research aims to enhance spatial resolution, improve tone reproduction, and develop novel imaging systems inspired by biological vision.