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.
no code implementations • ICCV 2023 • Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Sy-Yen Kuo, Ming-Hsuan Yang
Crowd counting has recently attracted significant attention in the field of computer vision due to its wide applications to image understanding.
no code implementations • 20 Mar 2023 • Wei-Ting Chen, Wang Yifan, Sy-Yen Kuo, Gordon Wetzstein
Neural radiance fields (NeRFs) have demonstrated state-of-the-art performance for 3D computer vision tasks, including novel view synthesis and 3D shape reconstruction.
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.
no code implementations • 4 May 2021 • Hao-Hsiang Yang, Kuan-Chih Huang, Wei-Ting Chen
The model is the encoder-decoder model with multiple adaptive feature fusion (AAF) modules.
2 code implementations • 3 May 2021 • Hao-Hsiang Yang, Wei-Ting Chen, Hao-Lun Luo, Sy-Yen Kuo
This model extracts the image and the depth features by the bifurcated network in the encoder.
1 code implementation • 3 May 2021 • Hao-Hsiang Yang, Wei-Ting Chen, and Sy-Yen Kuo
Depth guided any-to-any image relighting aims to generate a relit image from the original image and corresponding depth maps to match the illumination setting of the given guided image and its depth map.
no code implementations • 28 Feb 2021 • Yichao Zhou, Wei-Ting Chen, BoWen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
Clinical case reports are written descriptions of the unique aspects of a particular clinical case, playing an essential role in sharing clinical experiences about atypical disease phenotypes and new therapies.
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.
no code implementations • 26 Feb 2020 • Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan
To further explore GBDL models, we collected the largest flash point dataset to date, which contains 10575 unique molecules.
1 code implementation • CVPR 2019 • Wei-Ting Chen, Jian-Jiun Ding, Sy-Yen Kuo
Conventional patch-based haze removal algorithms (e. g. the Dark Channel prior) usually performs dehazing with a fixed patch size.