no code implementations • 28 Jun 2023 • Zhewei Chen, Wai Keung Wong, Zuofeng Zhong, Jinpiao Liao, Ying Qu
Fabric defect segmentation is integral to textile quality control.
no code implementations • 19 Aug 2020 • Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Hairong Qi
Transfer learning-based methods address this problem by pre-training in the source domain and fine-tuning on the target domain.
General Classification Hyperspectral Image Classification +1
1 code implementation • ECCV 2020 • Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts
Although inherently a classification problem, both representative and discriminative aspects of data need to be exploited in order to better distinguish unknown classes from known.
no code implementations • 16 Jun 2020 • Ying Qu, Razieh Kaviani Baghbaderani, Hairong Qi, Chiman Kwan
First, the self-attention mechanism is proposed where the spatial varying detail extraction and injection functions are estimated according to the attention representations indicating spectral characteristics of the MSI with sub-pixel accuracy.
1 code implementation • 24 Jul 2019 • 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 a camera.
1 code implementation • 27 Apr 2019 • Ying Qu, Hairong Qi, Chiman Kwan, Naoto Yokoya, Jocelyn Chanussot
With this design, the network allows to extract correlated spectral and spatial information from unregistered images that better preserves the spectral information.
no code implementations • 1 Oct 2018 • Zhenzhou Shao, Hongfa Zhao, Jiexin Xie, Ying Qu, Yong Guan, Jindong Tan
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 video and kinematic data, followed by a promoting procedure to address the over-segmentation issue.
no code implementations • CVPR 2018 • Ying Qu, Hairong Qi, Chiman Kwan
We refer to the proposed architecture as unsupervised Sparse Dirichlet-Net, or uSDN.