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He Sun 0009
Person information
- affiliation: Chinese Academy of Sciences, Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Beijing, China
- affiliation: University of Strathclyde, Department of Electronic and Electrical Engineering, Glasgow, UK
- affiliation: Beijing Institute of Technology, School of Computer Science and Technology, China
Other persons with the same name
- He Sun — disambiguation page
- He Sun 0001 — University of Edinburgh, UK (and 1 more)
- He Sun 0002 — Yunnan University, School of Information Science and Engineering
- He Sun 0003 — Shanghai Jiao Tong University, Department of Computer Science and Engineering
- He Sun 0004 — Northeastern University (China)
- He Sun 0005 — College of William & Mary, Williamsburg, VA, USA
- He Sun 0006 — Harbin University of Science & Technology, Harbin, China
- He Sun 0007 — Tsinghua University, Beijing, China
- He Sun 0008
— Beihang University, School of Electronic and Information Engineering, Beijing, China
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Journal Articles
- 2024
- [j12]Jinyan Nie, He Sun
Cross-Modal Feature Fusion and Interaction Strategy for CNN-Transformer-Based Object Detection in Visual and Infrared Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j11]Bin Sun
Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j10]Hongqi Zhang, Hongmin Gao
A Spatial-Spectrum Fully Attention Network for Band Selection of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j9]He Sun
Hyperbolic Space-Based Autoencoder for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j8]Yijun Yan
Nondestructive Quantitative Measurement for Precision Quality Control in Additive Manufacturing Using Hyperspectral Imagery and Machine Learning. IEEE Trans. Ind. Informatics 20(8): 9963-9975 (2024) - 2022
- [j7]He Sun
Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images. Pattern Recognit. 130: 108788 (2022) - [j6]He Sun, Lei Zhang, Lizhi Wang, Hua Huang
Stochastic gate-based autoencoder for unsupervised hyperspectral band selection. Pattern Recognit. 132: 108969 (2022) - [j5]Jinchang Ren, He Sun, Huimin Zhao, Hao Gao
Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-task learning U-Net. Pattern Recognit. Lett. 155: 165-170 (2022) - [j4]He Sun
Adaptive Distance-Based Band Hierarchy (ADBH) for Effective Hyperspectral Band Selection. IEEE Trans. Cybern. 52(1): 215-227 (2022) - [j3]He Sun
Novel Gumbel-Softmax Trick Enabled Concrete Autoencoder With Entropy Constraints for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2020
- [j2]Zhenyu Fang
SAFDet: A Semi-Anchor-Free Detector for Effective Detection of Oriented Objects in Aerial Images. Remote. Sens. 12(19): 3225 (2020) - 2019
- [j1]He Sun
Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images. Remote. Sens. 11(5): 536 (2019)
Conference and Workshop Papers
- 2020
- [c5]Boaz Arad, Radu Timofte
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CVPR Workshops 2020: 1806-1822 - 2019
- [c4]Yuxi Fang, He Sun, Yijun Yan
Wheat Growth Assessment for Satellite Remote Sensing Enabled Precision Agriculture. CSPS 2019: 2270-2277 - [c3]Jinchang Ren, He Sun, Yumin Huang, Hao Gao
Knowledge-Based Multi-sequence MR Segmentation via Deep Learning with a Hybrid U-Net++ Model. STACOM@MICCAI 2019: 280-289 - 2017
- [c2]Zhenyu Fang, He Sun, Jinchang Ren
3D Sensing Techniques for Multimodal Data Analysis and Integration in Smart and Autonomous Systems. CSPS 2017: 582-590 - [c1]He Sun, Qiming Zhu, Jinchang Ren
Combining Image Analysis and Smart Data Mining for Precision Agriculture in Livestock Farming. iThings/GreenCom/CPSCom/SmartData 2017: 1065-1069
Informal and Other Publications
- 2022
- [i2]Yijun Yan, Jinchang Ren, He Sun:
Nondestructive Quality Control in Powder Metallurgy using Hyperspectral Imaging. CoRR abs/2207.12966 (2022) - 2020
- [i1]Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CoRR abs/2005.03412 (2020)
Coauthor Index
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