101 citations · 219 across the 8 of their papers we have counts for
8 papers
Effective Transfer of Pretrained Large Visual Model for Fabric Defect Segmentation via Specifc Knowledge Injection
Zhewei Chen, Wai Keung Wong, Zuofeng Zhong +2
Fabric defect segmentation is integral to textile quality control. Despite this, the scarcity of high-quality annotated data and the diversity of fabric defects present significant…
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification
Ying Qu, Razieh Kaviani Baghbaderani, Wei Li +2
Hyperspectral image (HSI) classification is one of the most active research topics and has achieved promising results boosted by the recent development of deep learning. However, m…
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi +1
Land cover classification of satellite imagery is an important step toward analyzing the Earth's surface. Existing models assume a closed-set setting where both the training and te…
Unsupervised Pansharpening Based on Self-Attention Mechanism
Ying Qu, Razieh Kaviani Baghbaderani, Hairong Qi +1
Pansharpening is to fuse a multispectral image (MSI) of low-spatial-resolution (LR) but rich spectral characteristics with a panchromatic image (PAN) of high-spatial-resolution (HR…
Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization
Ying Qu, Zhenzhou Shao, Hairong Qi
Photorealistic stylization aims to transfer the style of a reference photo onto a content photo in a natural fashion, such that the stylized image looks like a real photo taken by…
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
Ying Qu, Hairong Qi, Chiman Kwan +2
Hyperspectral images (HSI) provide rich spectral information that contributed to the successful performance improvement of numerous computer vision tasks. However, it can only be a…
Unsupervised Trajectory Segmentation and Promoting of Multi-Modal Surgical Demonstrations
Zhenzhou Shao, Hongfa Zhao, Jiexin Xie +3
To improve the efficiency of surgical trajectory segmentation for robot learning in robot-assisted minimally invasive surgery, this paper presents a fast unsupervised method using…
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
Ying Qu, Hairong Qi, Chiman Kwan
In many computer vision applications, obtaining images of high resolution in both the spatial and spectral domains are equally important. However, due to hardware limitations, one…