Yuki KondoToyota Motor Corporation · Frontier Research Center
He is also the researcher at the Toyota Technological Institute.
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Citations since 2016
3 Research Items
Yuki Kondo belongs to the Intelligent Information Media (Norimichi Ukita's) Laboratory, Faculty of Engineering, Toyota Technological Institute. He obtained Bachelor of Engineering degree in March 2022. His research interests include computer vision, especially the application of Super-Resolution for image recognition. Currently, he focuses on crack segmentation as an image recognition task that applies Super-Resolution. Here (https://yuki-11.github.io/) is his personal homepage.
This paper presents methods for enhancing and restoring Scanning Probe Microscopy (SPM) images. We focus on image super-resolution as enhancement and image denoising and deblurring as restoration. Assume that almost same time-lapse images are captured in the same area of each specimen. In contrast to a single image, our proposed methods using a rec...
This paper proposes a method for crack segmentation on low-resolution images. Detailed cracks on their high-resolution images are estimated by super resolution from the low-resolution images. Our proposed method optimizes super-resolution images for the crack segmentation. For this method, we propose the Boundary Combo loss to express the local det...