no code implementations • 27 Feb 2023 • Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C. -C. Jay Kuo
A light-weight super-resolution (LSR) method from a single image targeting mobile applications is proposed in this work.
1 code implementation • CVPR 2023 • Wei-Lun Huang, Ming-Sui Lee
Although recent studies exploit video object segmentation methods to propagate the given trimaps, they suffer inconsistent results.
no code implementations • 1 Jan 2021 • Yen-Chi Hsu, Cheng-Yao Hong, Wan-Cyuan Fan, Ding-Jie Chen, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu
The Fine-Grained Visual Classification (FGVC) problem is notably characterized by two intriguing properties, significant inter-class similarity and intra-class variations, which cause learning an effective FGVC classifier a challenging task.
no code implementations • None 2019 • Yen-Chi Hsu, Cheng-Yao Hong, Ding-Jie Chen, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu
We introduce a regularization concept based on the proposed Batch Confusion Norm (BCN) to address Fine-Grained Visual Classification (FGVC).
Ranked #17 on Fine-Grained Image Classification on FGVC Aircraft
no code implementations • 28 Oct 2019 • Yen-Chi Hsu, Cheng-Yao Hong, Wan-Cyuan Fan, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu
With the development of deep learning, standard classification problems have achieved good results.
Fine-Grained Image Classification Fine-Grained Visual Recognition
no code implementations • 19 Dec 2018 • Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C. -C. Jay Kuo
Unsupervised video object segmentation is a crucial application in video analysis without knowing any prior information about the objects.
no code implementations • 13 Dec 2018 • Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C. -C. Jay Kuo
Experimental results on DAVIS and FBMS show that the proposed method outperforms state-of-the-art unsupervised segmentation methods on various benchmark datasets.