1 code implementation • ECCV 2020 • Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Cheng-Che Tsai, Sy-Yen Kuo
It can classify snow particles according to their sizes and conduct snow removal in different scales.
1 code implementation • 18 Sep 2022 • Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Hua-En Chang, Jian-Jiun Ding, Sy-Yen Kuo
Recently, vehicle similarity learning, also called re-identification (ReID), has attracted significant attention in computer vision.
1 code implementation • CVPR 2022 • Wei-Ting Chen, Zhi-Kai Huang, Cheng-Che Tsai, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo
At the KC, the student network aims to learn the comprehensive bad weather removal problem from multiple well-trained teacher networks where each of them is specialized in a specific bad weather removal problem.
1 code implementation • 25 Nov 2021 • Wei-Ting Chen, Cheng-Che Tsai, Hao-Yu Fang, I-Hsiang Chen, Jian-Jiun Ding, Sy-Yen Kuo
The rainy scenarios can be categorized into two classes: moderate rain and heavy rain scenes.
1 code implementation • ICCV 2021 • Wei-Ting Chen, Hao-Yu Fang, Cheng-Lin Hsieh, Cheng-Che Tsai, I-Hsiang Chen, Jian-Jiun Ding, Sy-Yen Kuo
Moreover, due to the limitation of existing snow datasets, to simulate the snow scenarios comprehensively, we propose a large-scale dataset called Comprehensive Snow Dataset (CSD).
1 code implementation • IEEE Transaction on Image Processing 2020 • Wei-Ting Chen, Hao-Yu Feng, Jian-Jiun Ding, Sy-Yen Kuo
In addition, to further enhance the performance of the method for haze removal, a patch-map-based DCP has been embedded into the network, and this module has been trained with the atmospheric light generator, patch map selection module, and refined module simultaneously.
1 code implementation • 6 Jun 2019 • Cho-Ying Wu, Jian-Jiun Ding
In this paper, a very effective method to solve the contiguous face occlusion recognition problem is proposed.
no code implementations • 6 Jun 2019 • Cho-Ying Wu, Jian-Jiun Ding
We first propose a novel nonconvex rank surrogate on the general rank minimization problem and apply this to the corrupted image completion problem.
no code implementations • 3 Jun 2017 • Soo-Chang Pei, Shih-Gu Huang, Jian-Jiun Ding
Besides, we propose a kind of DGT based on the eigenfunctions of the gyrator transform.
no code implementations • CVPR 2015 • Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, Yung-Yu Chuang
The intermediate patches can then guide the estimation of the blur kernel.