Hao-Hsiang Yang

Orcid: 0009-0004-2284-7445

According to our database1, Hao-Hsiang Yang authored at least 29 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Poster: iHead: A Head-Mounted Individual Monitoring and Finding System Based on Internet of Things Technologies.
Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

2023

Semantic Guidance Learning for High-Resolution Non-homogeneous Dehazing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


TSRFormer: Transformer Based Two-stage Refinement for Single Image Shadow Removal.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023



2022
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022




Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-Scale Aggregation with Self-Attention Network for Modeling Electrical Motor Dynamics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LRG-Net: Lightweight Residual Grid Network for Modeling Electrical Induction Motor Dynamics.
Proceedings of the 29th European Signal Processing Conference, 2021

Multi-Modal Bifurcated Network for Depth Guided Image Relighting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

S3Net: A Single Stream Structure for Depth Guided Image Relighting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining.
Proceedings of the IEEE International Conference on Image Processing, 2020

Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Wavelet U-Net and the Chromatic Adaptation Transform for Single Image Dehazing.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Synthesizing New Retinal Symptom Images by Multiple Generative Models.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018


  Loading...