1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
A Formalization of Image Vectorization by Region Merging
Roy Y. He, Sung Ha Kang, Jean-Michel Morel
Image vectorization converts raster images into vector graphics composed of regions separated by curves. Typical vectorization methods first define the regions by grouping similar…
cs.CV2024
Image Vectorization with Depth: convexified shape layers with depth ordering
Ho Law, Sung Ha Kang
Image vectorization is a process to convert a raster image into a scalable vector graphic format. Objective is to effectively remove the pixelization effect while representing boun…
cs.CV2024★ 1 cited
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
Sungmin Kang, Jaeha Song, Jihie Kim
Understanding the morphological structure of medical images and precisely segmenting the region of interest or abnormality is an important task that can assist in diagnosis. Howeve…