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Haonan Chen - IEEE Xplore Author Profile
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Haonan Chen

Publications
5
Citations
23
Publications by Year
20232024
Co-Authors:
Show All Co-Authors (106)
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Haonan Chen

Affiliation

College of Information and Smart Electromechanical Engineering
Xiamen Huaxia University
Xiamen, Fujian Province, China

Publication Topics

Biography

Haonan Chen received the BE degree in computer science and technology from the Harbin Institute of Technology, in 2017. He is currently working toward the PhD degree with the Gaoling School of Artificial Intelligence, Renmin University of China. His research interests include information retrieval.(Based on document published on 26 June 2024).
Publications
5
Citations
23
Publications by Year
20232024
Co-Authors:
Show All Co-Authors (106)
Author's Published Works

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Super-Resolution Reconstruction Algorithm for Underwater Images Based on Deep Residual Learning Networks

Haonan Chen;Li Zou;Chengjin Hong;Zekun Wu

2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)
Year: 2024 | Conference Paper |
Subject to intricate lighting conditions and environmental nuances, including suspended particles, underwater images often grapple with color distortion, background blurriness, and limited resolution. To cope with these challenges and elevate the quality of underwater image reconstruction and restoration, we introduce a super-resolution reconstruction algorithm for underwater images, leveraging a ...Show More

Super-Resolution Reconstruction Algorithm for Underwater Images Based on Deep Residual Learning Networks

Haonan Chen;Li Zou;Chengjin Hong;Zekun Wu

Year: 2024 | Conference Paper |

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results

Zheng Chen;Zongwei Wu;Eduard Zamfir;Kai Zhang;Yulun Zhang;Radu Timofte;Xiaokang Yang;Hongyuan Yu;Cheng Wan;Yuxin Hong;Zhijuan Huang;Yajun Zou;Yuan Huang;Jiamin Lin;Bingnan Han;Xianyu Guan;Yongsheng Yu;Daoan Zhang;Xuanwu Yin;Kunlong Zuo;Jinhua Hao;Kai Zhao;Kun Yuan;Ming Sun;Chao Zhou;Hongyu An;Xinfeng Zhang;Zhiyuan Song;Ziyue Dong;Qing Zhao;Xiaogang Xu;Pengxu Wei;Zhi-chao Dou;Gui-ling Wang;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Cansu Korkmaz;A. Murat Tekalp;Yubin Wei;Xiaole Yan;Binren Li;Haonan Chen;Siqi Zhang;Sihan Chen;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi;Anjali Sarvaiya;Pooja Choksy;Jagrit Joshi;Shubh Kawa;Kishor Upla;Sushrut Patwardhan;Raghavendra Ramachandra;Sadat Hossain;Geongi Park;S. M. Nadim Uddin;Hao Xu;Yanhui Guo;Aman Urumbekov;Xingzhuo Yan;Wei Hao;Minghan Fu;Isaac Orais;Samuel Smith;Ying Liu;Wangwang Jia;Qisheng Xu;Kele Xu;Weijun Yuan;Zhan Li;Wenqin Kuang;Ruijin Guan;Ruting Deng;Zhao Zhang;Bo Wang;Suiyi Zhao;Yan Luo;Yanyan Wei;Asif Hussain Khan;Christian Micheloni;Niki Martinel

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (18)
This paper reviews the NTIRE 2024 challenge on image super-resolution (×4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of four, from low-resolution (LR) inputs using prior information. The LR images originate from bicubic downsampling degradation. The aim of the challenge is to ob...Show More

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results

Zheng Chen;Zongwei Wu;Eduard Zamfir;Kai Zhang;Yulun Zhang;Radu Timofte;Xiaokang Yang;Hongyuan Yu;Cheng Wan;Yuxin Hong;Zhijuan Huang;Yajun Zou;Yuan Huang;Jiamin Lin;Bingnan Han;Xianyu Guan;Yongsheng Yu;Daoan Zhang;Xuanwu Yin;Kunlong Zuo;Jinhua Hao;Kai Zhao;Kun Yuan;Ming Sun;Chao Zhou;Hongyu An;Xinfeng Zhang;Zhiyuan Song;Ziyue Dong;Qing Zhao;Xiaogang Xu;Pengxu Wei;Zhi-chao Dou;Gui-ling Wang;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Cansu Korkmaz;A. Murat Tekalp;Yubin Wei;Xiaole Yan;Binren Li;Haonan Chen;Siqi Zhang;Sihan Chen;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi;Anjali Sarvaiya;Pooja Choksy;Jagrit Joshi;Shubh Kawa;Kishor Upla;Sushrut Patwardhan;Raghavendra Ramachandra;Sadat Hossain;Geongi Park;S. M. Nadim Uddin;Hao Xu;Yanhui Guo;Aman Urumbekov;Xingzhuo Yan;Wei Hao;Minghan Fu;Isaac Orais;Samuel Smith;Ying Liu;Wangwang Jia;Qisheng Xu;Kele Xu;Weijun Yuan;Zhan Li;Wenqin Kuang;Ruijin Guan;Ruting Deng;Zhao Zhang;Bo Wang;Suiyi Zhao;Yan Luo;Yanyan Wei;Asif Hussain Khan;Christian Micheloni;Niki Martinel

Year: 2024 | Conference Paper |

Query-Oriented Data Augmentation for Session Search

Haonan Chen;Zhicheng Dou;Yutao Zhu;Ji-Rong Wen

IEEE Transactions on Knowledge and Data Engineering
Year: 2024 | Volume: 36, Issue: 11 | Journal Article |
Modeling contextual information in a search session has drawn more and more attention when understanding complex user intents. Recent methods are all data-driven, i.e., they train different models on large-scale search log data to identify the relevance between search contexts and candidate documents. The common training paradigm is to pair the search context with different candidate documents and...Show More

Query-Oriented Data Augmentation for Session Search

Haonan Chen;Zhicheng Dou;Yutao Zhu;Ji-Rong Wen

Year: 2024 | Volume: 36, Issue: 11 | Journal Article |

ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment

Bingyang Zhou;Haoyu Zhou;Tianhai Liang;Qiaojun Yu;Siheng Zhao;Yuwei Zeng;Jun Lv;Siyuan Luo;Qiancai Wang;Xinyuan Yu;Haonan Chen;Cewu Lu;Lin Shao

2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations. Our dataset consists of around 4400 models covering 11 categories annotated with clothes features, boundary lines, and keypoints. ClothesNet can be used to facilitate a variety of computer vision and robot interaction tasks. Using our dataset, we establish benchmark tasks for clothes perception, i...Show More

ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment

Bingyang Zhou;Haoyu Zhou;Tianhai Liang;Qiaojun Yu;Siheng Zhao;Yuwei Zeng;Jun Lv;Siyuan Luo;Qiancai Wang;Xinyuan Yu;Haonan Chen;Cewu Lu;Lin Shao

Year: 2023 | Conference Paper |

Super-Resolution of GOES ABI Data Based on VIIRS Measurements and Auxiliary Environmental Information

Haonan Chen;Changyong Cao

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
Year: 2023 | Conference Paper |
Due to the limited spatial or temporal resolution, current satellite-based products from VIIRS (Visible Infrared Imaging Radiometer Suite), MODIS (Moderate Resolution Imaging Spectroradiometer), and GOES ABI (Geostationary Operational Environmental Satellite Advanced Baseline Imager) are often inadequate for real-time applications such as wildfire edge detection and wildfire suppression. The overa...Show More

Super-Resolution of GOES ABI Data Based on VIIRS Measurements and Auxiliary Environmental Information

Haonan Chen;Changyong Cao

Year: 2023 | Conference Paper |

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