Search Results for author: Hao-Hsiang Yang

Found 9 papers, 7 papers with code

RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning

1 code implementation18 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.

Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified Model

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.

Transfer Learning

Multi-modal Bifurcated Network for Depth Guided Image Relighting

1 code implementation3 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.

Image Relighting SSIM

S3Net: A Single Stream Structure for Depth Guided Image Relighting

1 code implementation3 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.

Image Relighting SSIM

Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining

no code implementations17 Jul 2020 Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang

Wavelet transform and the inverse wavelet transform are substituted for down-sampling and up-sampling so feature maps from the wavelet transform and convolutions contain different frequencies and scales.

Single Image Deraining

Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing

1 code implementation31 Mar 2020 Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai

Extensive experimental results demonstrate that the proposed Y-net with the W-SSIM loss function restores high-quality clear images and outperforms state-of-the-art algorithms.

Image Dehazing Single Image Dehazing +2

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

1 code implementation16 Aug 2018 C. -H. Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, I-Hung Lin, Yi-Chieh Liu, Hao-Hsiang Yang, Jesper Tegner

Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.

General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.