no code implementations • 23 Feb 2024 • Chenyu Li, Bing Zhang, Danfeng Hong, Jing Yao, Jocelyn Chanussot
These factors also limit the performance of the well-known low-rank representation (LRR) models in terms of robustness on the separation of background and target features and the reliance on manual parameter selection.
no code implementations • 13 Nov 2023 • Danfeng Hong, Bing Zhang, Xuyang Li, YuXuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jon Atli Benediktsson, Jocelyn Chanussot
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner.
no code implementations • 26 Sep 2023 • Danfeng Hong, Bing Zhang, Hao Li, YuXuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu
Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e. g., single cities or regions).
no code implementations • 20 Aug 2023 • Ehsan Saeedizade, Bing Zhang, Engin Arslan
High-speed research networks are built to meet the ever-increasing needs of data-intensive distributed workflows.
no code implementations • 13 May 2022 • Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot
Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing (RS) imaging has provided a significant amount of spatial and spectral information for the observation and analysis of the Earth's surface at a distance of data acquisition devices, such as aircraft, spacecraft, and satellite.
no code implementations • 3 May 2022 • Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot
With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated heterogeneity is readily available nowadays, which renders researchers an opportunity to tackle current geoscience applications in a fresh way.
no code implementations • 4 Apr 2022 • Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob Biamonte, Chao Song, Dong-Ling Deng, H. Wang
Our results reveal experimentally a crucial vulnerability aspect of quantum learning systems under adversarial scenarios and demonstrate an effective defense strategy against adversarial attacks, which provide a valuable guide for quantum artificial intelligence applications with both near-term and future quantum devices.
no code implementations • 31 Mar 2022 • Bing Zhang, Yuya Jeremy Ong, Taiga Nakamura
Concretely, predictive models are often employed in estimating the parameters for the input values that are utilized for optimization models as isolated processes.
2 code implementations • 7 Jul 2021 • Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot
Hyperspectral (HS) images are characterized by approximately contiguous spectral information, enabling the fine identification of materials by capturing subtle spectral discrepancies.
2 code implementations • 23 May 2021 • Pan Chen, Danfeng Hong, Zhengchao Chen, Xuan Yang, Baipeng Li, Bing Zhang
Moreover, a self-supervised learning-based strategy is proposed to constrain feature learning.
1 code implementation • 21 May 2021 • Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang
Over the past decades, enormous efforts have been made to improve the performance of linear or nonlinear mixing models for hyperspectral unmixing, yet their ability to simultaneously generalize various spectral variabilities and extract physically meaningful endmembers still remains limited due to the poor ability in data fitting and reconstruction and the sensitivity to various spectral variabilities.
1 code implementation • 17 May 2021 • Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang
Specifically, a bidirectional image synthesis and segmentation module is proposed to segment the brain tumor using the intermediate data distributions generated for the two domains, which includes an image-to-image translator and a shared-weighted segmentation network.
no code implementations • 10 May 2021 • Xuan Yang, Shanshan Li, Zhengchao Chen, Jocelyn Chanussot, Xiuping Jia, Bing Zhang, Baipeng Li, Pan Chen
Semantic segmentation is an essential part of deep learning.
no code implementations • 30 Mar 2021 • Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot
Tensor-based methods have been widely studied to attack inverse problems in hyperspectral imaging since a hyperspectral image (HSI) cube can be naturally represented as a third-order tensor, which can perfectly retain the spatial information in the image.
1 code implementation • 12 Mar 2021 • Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu, Jose M. Bioucas-Dias
Hyperspectral imaging measures the amount of electromagnetic energy across the instantaneous field of view at a very high resolution in hundreds or thousands of spectral channels.
no code implementations • 9 Feb 2021 • Bing Zhang, Yu Wang, Liang Li
The jet composition and radiative efficiency of GRBs are poorly constrained from the data.
High Energy Astrophysical Phenomena
no code implementations • 7 Oct 2020 • Yun Cao, Jie Mei, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Bing Zhang, Lihua Li, Yibo Zheng
In SLCRF, first, the 3D convolutional autoencoder (3DCAE) is introduced to remove the redundant information in HSI pixels.
1 code implementation • IEEE Geoscience and Remote Sensing Letters 2020 • Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot
To overcome this limitation, we present a simple but effective multimodal DL baseline by following a deep encoder–decoder network architecture, EndNet for short, for the classification of hyperspectral and light detection and ranging (LiDAR) data.
1 code implementation • 12 Aug 2020 • Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang
In particular, we also investigate a special case of multi-modality learning (MML) -- cross-modality learning (CML) that exists widely in RS image classification applications.
1 code implementation • 6 Aug 2020 • Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot
Convolutional neural networks (CNNs) have been attracting increasing attention in hyperspectral (HS) image classification, owing to their ability to capture spatial-spectral feature representations.
1 code implementation • 28 Jul 2020 • Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot
However, the ability in the fusion of HS and MS images remains to be improved, particularly in large-scale scenes, due to the limited acquisition of HS images.
1 code implementation • 28 Jul 2020 • Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot
In this work, an unsupervised deep learning-based fusion method - HyCoNet - that can solve the problems in HSI-MSI fusion without the prior PSF and SRF information is proposed.
no code implementations • 18 Jun 2020 • Shuai Zhang, Xiaoyan Xin, Yang Wang, Yachong Guo, Qiuqiao Hao, Xianfeng Yang, Jun Wang, Jian Zhang, Bing Zhang, Wei Wang
The model provides automated recognition of given scans and generation of reports.
no code implementations • 21 May 2020 • Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
In this paper, we tackle the challenging task of prostate segmentation in CT images by a two-stage network with 1) the first stage to fast localize, and 2) the second stage to accurately segment the prostate.
no code implementations • 15 May 2020 • Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
Therefore, the proposed network has a dual-branch architecture that tackles two tasks: 1) a segmentation sub-network aiming to generate the prostate segmentation, and 2) a voxel-metric learning sub-network aiming to improve the quality of the learned feature space supervised by a metric loss.
1 code implementation • 10 Mar 2020 • Rui Luo, Yunpeng Men, Kejia Lee, Weiyang Wang, D. R. Lorimer, Bing Zhang
Assuming a Schechter luminosity function form, we infer (at the 95% confidence level) that the characteristic FRB event rate density at the upper cut-off luminosity $L^*=2. 9_{-1. 7}^{+11. 9}\times10^{44}\,\rm erg\, s^{-1}$ is $\phi^*=339_{-313}^{+1074}\,\rm Gpc^{-3}\, yr^{-1}$, the power-law index is $\alpha=-1. 79_{-0. 35}^{+0. 31}$, and the lower cut-off luminosity is $L_0\le9. 1\times10^{41}\,\rm erg\, s^{-1}$.
High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics
no code implementations • 9 Aug 2019 • Xuan Yang, Zhengchao Chen, Baipeng Li, Dailiang Peng, Pan Chen, Bing Zhang
The land-use map is an important data that can reflect the use and transformation of human land, and can provide valuable reference for land-use planning.
no code implementations • 18 Mar 2019 • Yu-Han Yang, Bin-Bin Zhang, Bing Zhang
The second repeating fast radio burst source, FRB 180814. J0422+73, was detected recently by the CHIME collaboration.
High Energy Astrophysical Phenomena
no code implementations • 14 Feb 2019 • Jeremy L. Smallwood, Rebecca G. Martin, Bing Zhang
The origin of fast radio bursts (FRBs) is still a mystery.
High Energy Astrophysical Phenomena Earth and Planetary Astrophysics
no code implementations • 5 Dec 2018 • Kai Lei, Bing Zhang, Yong liu, Yang Deng, Dongyu Zhang, Ying Shen
In Question Entity Discovery and Linking (QEDL) problem, traditional methods are challenged because multiple entities in one short question are difficult to be discovered entirely and the incomplete information in short text makes entity linking hard to implement.
2 code implementations • 29 Aug 2018 • Rui Luo, Kejia Lee, Duncan R. Lorimer, Bing Zhang
In this paper, we measure the normalised luminosity function of FRBs.
High Energy Astrophysical Phenomena
1 code implementation • 8 Feb 2018 • Chengming Xu, Yanwei Fu, Bing Zhang, Zitian Chen, Yu-Gang Jiang, xiangyang xue
This paper targets at learning to score the figure skating sports videos.