Kaibo Zhao — accepted AI-conference papers

2025

Less is More: Efficient Image Vectorization with Adaptive Parameterization

Kaibo Zhao, Liang Bao, Yufei Li, Xu Su, Ke Zhang, Xiaotian Qiao

CVPR 2025poster

Image vectorization aims to convert raster images to vector ones, allowing for easy scaling and editing.Existing works mainly rely on preset parameters (i.e., a fixed number of paths and control points), ignoring the complexity of the image and posing significant challenges to practical applications…

Cited by 0 Source ↗PDF ↗Scholar ↗

2022

Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space

Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao

ECCV 2022poster

"Most few-shot image classification methods are trained based on tasks. Usually, tasks are built on base classes with a large number of labeled images, which consumes large effort. Unsupervised few-shot image classification methods do not need labeled images, because they require tasks to be built o…

Cited by 21 Source ↗PDF ↗code ↗Scholar ↗