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2020 – today
- 2024
[j78]Md. Amirul Islam
, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. Int. J. Comput. Vis. 132(9): 3889-3910 (2024)- [j77]Sen Jia, Yifan Wang, Shuguo Jiang, Ruyan He:
A Center-Masked Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j76]Shuguo Jiang, Nanying Li, Meng Xu, Shuyu Zhang, Sen Jia:
SQformer: Spectral-Query Transformer for Hyperspectral Image Arbitrary-Scale Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j75]Nanying Li, Shuguo Jiang, Jiaqi Xue, Songxin Ye, Sen Jia:
Texture-Aware Self-Attention Model for Hyperspectral Tree Species Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j74]Yaqian Long, Songxin Ye, Liqiong Wang, Weixi Wang, Xiaomei Liao, Sen Jia:
Scale Pyramid Graph Network for Hyperspectral Individual Tree Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j73]Shuyu Zhang, Fan Gao, Zhaoji Shi, Chuhong Wu, Zhiyuan Zhang, Yan Li, Xiaomei Liao, Lin Mu, Sen Jia:
Vertical Attention-Based Siamese ConvLSTM Network for Argo Data Error Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j72]Shuyu Zhang, Yizhou Yang, Kangwen Xie, Jiahao Gao, Zhiyuan Zhang, Qianru Niu, Gongjie Wang, Zhihui Che, Lin Mu, Sen Jia:
Spatial-Temporal Siamese Convolutional Neural Network for Subsurface Temperature Reconstruction. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j71]Sen Jia, Shuguo Jiang, Shuyu Zhang, Meng Xu, Xiuping Jia:
Graph-in-Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1157-1171 (2024) - [i27]Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang:
Technique Report of CVPR 2024 PBDL Challenges. CoRR abs/2406.10744 (2024) - 2023
- [j70]Sen Jia, Zhichao Min, Xiyou Fu:
Multiscale spatial-spectral transformer network for hyperspectral and multispectral image fusion. Inf. Fusion 96: 117-129 (2023) - [j69]Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. 88: 102877 (2023) - [j68]Xiyou Fu, Yujuan Guo, Meng Xu, Sen Jia:
Hyperspectral Image Denoising via Robust Subspace Estimation and Group Sparsity Constraint. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j67]Xiyou Fu, Hong Liang, Sen Jia:
Mixed Noise-Oriented Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j66]Yujuan Guo, Xiyou Fu, Meng Xu, Sen Jia:
Stereo Cross-Attention Network for Unregistered Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j65]Sen Jia, Dongsheng Bi, Jianhui Liao, Shuguo Jiang, Meng Xu, Shuyu Zhang:
Structure-Adaptive Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j64]Sen Jia, Xi Zhou, Shuguo Jiang, Ruyan He:
Collaborative Contrastive Learning for Hyperspectral and LiDAR Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j63]Sen Jia, Shuangzhao Zhu, Zhihao Wang, Meng Xu, Weixi Wang, Yujuan Guo:
Diffused Convolutional Neural Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j62]Yaqian Long, Xun Wang, Meng Xu, Shuyu Zhang, Shuguo Jiang, Sen Jia:
Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j61]Meng Xu, Yanxin Peng, Ying Zhang, Xiuping Jia, Sen Jia:
AACNet: Asymmetric Attention Convolution Network for Hyperspectral Image Dehazing. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j60]Shuyu Zhang, Yuesen Deng, Qianru Niu, Zhiyuan Zhang, Zhihui Che, Sen Jia, Lin Mu:
Multivariate Temporal Self-Attention Network for Subsurface Thermohaline Structure Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j59]Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. IEEE Trans. Medical Imaging 42(12): 3540-3554 (2023) - [c71]Jiaqi Xue, Wangquan He, Songxin Ye, Hong Liang, Sen Jia:
MCARNet: Mixed Convolution-Attention-Residual Network for Hyperspectral Image Classification of Cholangiocarcinoma. ICCPR 2023: 324-330 - [c70]Sen Jia, Homa Fashandi:
Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs. ICMLA 2023: 1936-1942 - [i26]Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu:
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI. CoRR abs/2304.05060 (2023) - [i25]Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang:
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR abs/2308.15918 (2023) - 2022
- [j58]Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li:
Sparsity Constrained Fusion of Hyperspectral and Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j57]Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li:
Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-Image Changes. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j56]Sen Jia, Shuguo Jiang, Zhijie Lin, Meng Xu, Weiwei Sun, Qiang Huang, Jiasong Zhu, Xiuping Jia:
A Semisupervised Siamese Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j55]Sen Jia, Jianhui Liao, Meng Xu, Yan Li, Jiasong Zhu, Weiwei Sun, Xiuping Jia, Qingquan Li:
3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j54]Sen Jia, Xiaomei Liu, Meng Xu, Qiao Yan, Jun Zhou, Xiuping Jia, Qingquan Li:
Gradient Feature-Oriented 3-D Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j53]Sen Jia, Zhihao Wang, Qingquan Li, Xiuping Jia, Meng Xu:
Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j52]Sen Jia, Yue Yuan, Nanying Li, Jianhui Liao, Qiang Huang, Xiuping Jia, Meng Xu:
A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j51]Meng Xu, Qingqing Zhao, Sen Jia:
Multiview Spatial-Spectral Active Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j50]Shuyu Zhang, Dingding Tang, Nanying Li, Xiuping Jia, Sen Jia:
Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j49]Shuyu Zhang, Meng Xu, Jun Zhou, Sen Jia:
Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j48]Yingying Zhu, Bin Sun, Xiufan Lu, Sen Jia:
Geographic Semantic Network for Cross-View Image Geo-Localization. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c69]Che Wang, Sen Jia, Zhonghong Yan, Yijia Zheng, Shaonan Liu, Haifeng Wang, Dong Liang, Yanjie Zhu:
Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network. CBMS 2022: 166-170 - [c68]Yifan Wang, Shuguo Jiang, Meng Xu, Shuyu Zhang, Sen Jia:
A Center-Masked Convolutional Transformer for Hyperspectral Image Classification. CDCEO@IJCAI 2022: 1-6 - [c67]Songxin Ye, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia:
HSI-DETR: A DETR-based Transfer Learning from RGB to Hyperspectral Images for Object Detection of Live and Dead Cells: To achieve better results, convert models with the fewest changes from RGB to HSI. ICCPR 2022: 102-107 - [c66]Hong Liang, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia:
Principal component self-attention mechanism for melanoma hyperspectral image recognition. ICCPR 2022: 243-248 - [c65]Nanying Li, Jiaqi Xue, Sen Jia:
Spectral Context-aware Transformer for Cholangiocarcinoma Hyperspectral Image Segmentation. ICIGP 2022: 209-213 - [i24]Sen Jia, Yifan Wang:
Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification. CoRR abs/2203.04771 (2022) - [i23]Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang:
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging. CoRR abs/2208.03904 (2022) - [i22]Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-Space Interpolation With Untrained Neural Network. CoRR abs/2208.05827 (2022) - [i21]Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu:
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging. CoRR abs/2212.11274 (2022) - 2021
- [j47]Yaqian Long, Benoit Rivard, Arturo Sanchez-Azofeifa, Russell Greiner, Dominica Harrison, Sen Jia:
Identification of spectral features in the longwave infrared (LWIR) spectra of leaves for the discrimination of tropical dry forest tree species. Int. J. Appl. Earth Obs. Geoinformation 97: 102286 (2021) - [j46]Sen Jia, Shuguo Jiang, Zhijie Lin, Nanying Li, Meng Xu, Shiqi Yu:
A survey: Deep learning for hyperspectral image classification with few labeled samples. Neurocomputing 448: 179-204 (2021) - [j45]Wenqi Huang, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep low-Rank plus sparse network for dynamic MR imaging. Medical Image Anal. 73: 102190 (2021) - [j44]Baorui Wang, Shun Zhang, Yan Feng, Shaohui Mei, Sen Jia, Qian Du:
Hyperspectral Imagery Spatial Super-Resolution Using Generative Adversarial Network. IEEE Trans. Computational Imaging 7: 948-960 (2021) - [j43]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. IEEE Trans. Computational Imaging 7: 1176-1188 (2021) - [j42]Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. IEEE Trans. Computational Imaging 7: 1314-1327 (2021) - [j41]Sen Jia, Zhangwei Zhan, Meng Zhang, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia:
Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification. IEEE Trans. Geosci. Remote. Sens. 59(2): 1437-1452 (2021) - [j40]Sen Jia, Zhijie Lin, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia, Qingquan Li:
A Lightweight Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4150-4163 (2021) - [j39]Xiyou Fu, Sen Jia, Lina Zhuang, Meng Xu, Jun Zhou, Qingquan Li:
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization. IEEE Trans. Geosci. Remote. Sens. 59(11): 9553-9568 (2021) - [j38]Sen Jia, Qingqing Zhao, Jiayue Zhuang, Dingding Tang, Yaqian Long, Meng Xu, Jun Zhou, Qingquan Li:
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10394-10409 (2021) - [j37]Ziwen Ke, Wenqi Huang, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Learned Low-Rank Priors in Dynamic MR Imaging. IEEE Trans. Medical Imaging 40(12): 3698-3710 (2021) - [c64]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. BMVC 2021: 54 - [c63]Yifan Wang, Zhichao Min, Sen Jia:
Local-Global-Aware Convolutional Transformer for Hyperspectral Image Classification. HPCC/DSS/SmartCity/DependSys 2021: 1188-1194 - [c62]Zhichao Min, Yifan Wang, Sen Jia:
Multiscale Spatial-spectral Joint Feature Learning for Multispectral and Hyperspectral Image Fusion. HPCC/DSS/SmartCity/DependSys 2021: 1265-1270 - [c61]Shuguo Jiang, Sen Jia:
A 3D Lightweight Siamese Network for Hyperspectral Image Classification with Limited Samples. ICCPR 2021: 142-148 - [c60]Dingding Tang, Sen Jia, Nanying Li:
Superpixel Regularized Multiple kernel Gabor Fusion for Hyperspectral Image Classification. ICCPR 2021: 175-182 - [c59]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. ICCV 2021: 773-781 - [c58]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR 2021 - [i20]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR abs/2101.11604 (2021) - [i19]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. CoRR abs/2101.12322 (2021) - [i18]Ziwen Ke, Zhuoxu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. CoRR abs/2104.01102 (2021) - [i17]Wenqi Huang, Sen Jia, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Yanjie Zhu, Dong Liang:
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging. CoRR abs/2104.05901 (2021) - [i16]Meng Xu, Zhihao Wang, Jiasong Zhu, Xiuping Jia, Sen Jia:
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution. CoRR abs/2107.06536 (2021) - [i15]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images. CoRR abs/2108.05547 (2021) - [i14]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. CoRR abs/2108.07884 (2021) - [i13]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. CoRR abs/2110.10335 (2021) - [i12]Sen Jia, Shuguo Jiang, Zhijie Lin, Nanying Li, Meng Xu, Shiqi Yu:
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples. CoRR abs/2112.01800 (2021) - [i11]Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI. CoRR abs/2112.09891 (2021) - 2020
- [j36]Sen Jia, Neil D. B. Bruce:
EML-NET: An Expandable Multi-Layer NETwork for saliency prediction. Image Vis. Comput. 95: 103887 (2020) - [j35]Huan Wang, Qingquan Li, Sen Jia:
A global and local feature weighted method for ancient murals inpainting. Int. J. Mach. Learn. Cybern. 11(6): 1197-1216 (2020) - [j34]Ye Li, Qiaoyan Chen, Zidong Wei, Lei Zhang, Changjun Tie, Yanjie Zhu, Sen Jia, Jun Xia, Dong Liang, Qiang He, Xiaoliang Zhang, Xin Liu, Bing Zhang, Hairong Zheng:
One-Stop MR Neurovascular Vessel Wall Imaging With a 48-Channel Coil System at 3 T. IEEE Trans. Biomed. Eng. 67(8): 2317-2327 (2020) - [j33]Bin Deng, Sen Jia, Daming Shi:
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(2): 1422-1435 (2020) - [j32]Sen Jia, Xianglong Deng, Meng Xu, Jun Zhou, Xiuping Jia:
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(7): 5077-5091 (2020) - [j31]Sen Jia, Zhijie Lin, Bin Deng, Jiasong Zhu, Qingquan Li:
Cascade Superpixel Regularized Gabor Feature Fusion for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1638-1652 (2020) - [c57]Sen Jia, Neil D. B. Bruce:
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. CVPR 2020: 2664-2673 - [c56]Md. Amirul Islam, Sen Jia, Neil D. B. Bruce:
How much Position Information Do Convolutional Neural Networks Encode? ICLR 2020 - [i10]Md. Amirul Islam, Sen Jia, Neil D. B. Bruce:
How Much Position Information Do Convolutional Neural Networks Encode? CoRR abs/2001.08248 (2020) - [i9]Sen Jia, Neil D. B. Bruce:
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. CoRR abs/2002.10540 (2020) - [i8]Ziwen Ke, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Low-rank Prior in Dynamic MR Imaging. CoRR abs/2006.12090 (2020) - [i7]Wenqi Huang, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Yanjie Zhu, Dong Liang:
Deep Low-rank plus Sparse Network for Dynamic MR Imaging. CoRR abs/2010.13677 (2020) - [i6]Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu:
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications. CoRR abs/2011.04123 (2020)
2010 – 2019
- 2019
- [j30]Ke Zheng, Lianru Gao, Qiong Ran, Ximin Cui, Bing Zhang, Wenzhi Liao, Sen Jia:
Separable-spectral convolution and inception network for hyperspectral image super-resolution. Int. J. Mach. Learn. Cybern. 10(10): 2593-2607 (2019) - [j29]Sen Jia, Kuilin Wu, Jiasong Zhu, Xiuping Jia:
Spectral-Spatial Gabor Surface Feature Fusion Approach for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 57(2): 1142-1154 (2019) - [j28]Sen Jia, Xianglong Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia:
Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(10): 7770-7784 (2019) - [j27]Sen Jia, Jiayue Zhuang, Lin Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia:
3-D Gaussian-Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 57(11): 8813-8826 (2019) - [c55]Lixian Zou, Haifeng Wang, Yanjie Zhu, Yuanyuan Liu, Jing Cheng, Sen Jia, Caiyun Shi, Shi Su, Xin Liu, Hairong Zheng, Dong Liang:
T1rho Fractional-order Relaxation of Human Articular Cartilage. EMBC 2019: 4496-4499 - [c54]Haifeng Wang, Jing Cheng, Sen Jia, Zhilang Qiu, Caiyun Shi, Lixian Zou, Shi Su, Yuchou Chang, Yanjie Zhu, Leslie Ying, Dong Liang:
Accelerating MR Imaging via Deep Chambolle-Pock Network. EMBC 2019: 6818-6821 - [c53]Zhijie Lin, Sen Jia, Bin Deng:
Multi-Task Embedded Convolutional Neural Network for Hyperspectral Image Classification. ICME 2019: 1426-1431 - [c52]Xiaomei Liu, Sen Jia, Meng Xu, Jiasong Zhu:
Statistical Fusion-Based Transfer Learning for Hyperspectral Image Classification. IGARSS 2019: 1108-1111 - [c51]Jing Cheng, Sen Jia, Ye Li, Haifeng Wang, Dong Liang:
A Parameter-Insensitive Solution for Hybrid Compressed Sensing and Parallel Imaging. RCAR 2019: 919-922 - [i5]Sen Jia, Neil D. B. Bruce:
Richer and Deeper Supervision Network for Salient Object Detection. CoRR abs/1901.02425 (2019) - [i4]Yanjie Zhu, Ziwen Ke, Jing Cheng, Sen Jia, Yuanyuan Liu, Haifeng Wang, Leslie Ying, Xin Liu, Hairong Zheng, Dong Liang:
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling. CoRR abs/1912.12177 (2019) - 2018
- [j26]Sen Jia, Yang Zhang:
Saliency-based deep convolutional neural network for no-reference image quality assessment. Multim. Tools Appl. 77(12): 14859-14872 (2018) - [j25]Jiasong Zhu, Ke Sun, Sen Jia, Weidong Lin, Xianxu Hou, Bozhi Liu, Guoping Qiu:
Bidirectional Long Short-Term Memory Network for Vehicle Behavior Recognition. Remote. Sens. 10(6): 887 (2018) - [j24]Jiasong Zhu, Ke Sun, Sen Jia, Qingquan Li, Xianxu Hou, Weidong Lin, Bozhi Liu, Guoping Qiu:
Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4968-4981 (2018) - [j23]Sen Jia, Linlin Shen, Jiasong Zhu, Qingquan Li:
A 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification. IEEE Trans. Cybern. 48(4): 1176-1188 (2018) - [j22]Sen Jia, Bin Deng, Jiasong Zhu, Xiuping Jia, Qingquan Li:
Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance. IEEE Trans. Geosci. Remote. Sens. 56(2): 749-759 (2018) - [j21]Jiasong Zhu, Jie Hu, Sen Jia, Xiuping Jia, Qingquan Li:
Multiple 3-D Feature Fusion Framework for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(4): 1873-1886 (2018) - [c50]Kuilin Wu, Sen Jia:
2D Gabor-Based Sparse Representation Classification for Hyperspectral Imagery. DICTA 2018: 1-8 - [c49]Sen Jia, Meng Zhang, Junjian Xian, Jiayue Zhuang, Qiang Huang:
Superpixel-Based Feature Extraction and Fusion Method for Hyperspectral and LiDAR Classification. ICPR 2018: 764-769 - [c48]Sen Jia, Huimin Xie, Xianglong Deng:
Extended Morphological Profile-based Gabor Wavelets for Hyperspectral Image Classification. ICPR 2018: 782-787 - [c47]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Right for the Right Reason: Training Agnostic Networks. IDA 2018: 164-174 - [c46]Sen Jia, Meng Zhang, Jiasong Zhu:
Gabor Wavelet Based Feature Extraction and Fusion for Hyperspectral and Lidar Remote Sensing Data. IGARSS 2018: 1-4 - [c45]Sen Jia, Junjian Xian:
Multi-Feature-Based Decision Fusion Framework for Hyperspectral Imagery Classification. IGARSS 2018: 5-8 - [i3]Sen Jia:
EML-NET: An Expandable Multi-Layer NETwork for Saliency Prediction. CoRR abs/1805.01047 (2018) - [i2]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Right for the Right Reason: Training Agnostic Networks. CoRR abs/1806.06296 (2018) - [i1]Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang:
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. CoRR abs/1810.00302 (2018) - 2017
- [j20]Shiqi Yu, Sen Jia, Chunyan Xu:
Convolutional neural networks for hyperspectral image classification. Neurocomputing 219: 88-98 (2017) - [j19]Sen Jia, Bin Deng, Qiang Huang:
An efficient superpixel-based sparse representation framework for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750061:1-1750061:14 (2017) - [j18]Sen Jia, Jie Hu, Jiasong Zhu, Xiuping Jia, Qingquan Li:
Three-Dimensional Local Binary Patterns for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 55(4): 2399-2413 (2017) - [j17]Sen Jia, Bin Deng, Jiasong Zhu, Xiuping Jia, Qingquan Li:
Superpixel-Based Multitask Learning Framework for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(5): 2575-2588 (2017) - [c44]Sen Jia, Yang Zhang, Dimitris Agrafiotis, David R. Bull:
Blind high dynamic range image quality assessment using deep learning. ICIP 2017: 765-769 - [c43]Sen Jia, Bin Deng, Huimin Xie, Lin Deng:
A Gabor feature fusion framework for hyperspectral imagery classification. ICIP 2017: 2394-2397 - [c42]Sen Jia, Huimin Xie, Lin Deng, Linlin Shen:
Gabor phase feature-based hyperspectral imagery classification. ICME 2017: 1291-1296 - [c41]Sen Jia, Kuilin Wu, Meng Zhang, Jie Hu:
Three-Dimensional Surface Feature for Hyperspectral Imagery Classification. ICONIP (1) 2017: 270-278 - [c40]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. IDA 2017: 138-148 - [c39]Sen Jia, Huimin Xie, Lin Deng, Qiang Huang, Jun Li:
Gabor feature based support vector guided dictionary learning for hyperspectral image classification. IGARSS 2017: 2211-2214 - 2016
- [b1]Sen Jia:
Data from the wild in computer vision: generating and exploiting large scale and noisy datasets. University of Bristol, UK, 2016 - [j16]Sen Jia, Yao Xie, Guihua Tang, Jiasong Zhu:
Spatial-spectral-combined sparse representation-based classification for hyperspectral imagery. Soft Comput. 20(12): 4659-4668 (2016) - [j15]Sen Jia, Guihua Tang, Jiasong Zhu, Qingquan Li:
A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 54(1): 88-102 (2016) - [j14]Sen Jia, Jie Hu, Yao Xie, LinLin Shen, Xiuping Jia, Qingquan Li:
Gabor Cube Selection Based Multitask Joint Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(6): 3174-3187 (2016) - [c38]Sen Jia, Bin Deng:
An Efficient Gabor Feature-Based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification. CCPR (2) 2016: 14-25 - [c37]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Gender Classification by Deep Learning on Millions of Weakly Labelled Images. ICDM Workshops 2016: 462-467 - [c36]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Time Series Analysis of Garment Distributions via Street Webcam. ICIAR 2016: 765-773 - [c35]Sen Jia, Jie Hu, Lin Deng, Xiuping Jia:
Three-dimensional local binary patterns for hyperspectral imagery classification. IGARSS 2016: 465-468 - [c34]Sen Jia, Bin Deng, Xiuping Jia:
Superpixel-level sparse representation-based classification for hyperspectral imagery. IGARSS 2016: 3302-3305 - [c33]Sen Jia, Jie Hu, Lin Deng, Hongjun Su:
Fuzzy threshold-based uniform local binary patterns for hyperspectral imagery classification. WHISPERS 2016: 1-4 - 2015
- [j13]Zexuan Zhu, Sen Jia, Shan He, Yiwen Sun, Zhen Ji, LinLin Shen:
Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework. Inf. Sci. 298: 274-287 (2015) - [j12]Sen Jia, Nello Cristianini:
Learning to classify gender from four million images. Pattern Recognit. Lett. 58: 35-41 (2015) - [j11]Sen Jia, Xiujun Zhang, Qingquan Li:
Spectral-Spatial Hyperspectral Image Classification Using ℓ1/2 Regularized Low-Rank Representation and Sparse Representation-Based Graph Cuts. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2473-2484 (2015) - [j10]Sen Jia, LinLin Shen, Qingquan Li:
Gabor Feature-Based Collaborative Representation for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 53(2): 1118-1129 (2015) - [c32]Linlin Shen, Ziyi Dai, Sen Jia, Meng Yang, Zhihui Lai, Shiqi Yu:
Band selection for Gabor feature based hyperspectral palmprint recognition. ICB 2015: 416-421 - [c31]Sen Jia, Xiujun Zhang, Lin Deng, Zhenqiu Shu:
AN ℓ1/2 regularized low-rank representation for hyperspectral imagery classification. ICIP 2015: 1777-1780 - [c30]Sen Jia, Jie Hu, Guihua Tang, Linlin Shen, Lin Deng:
Gabor feature based dictionary fusion for hyperspectral imagery classification. IGARSS 2015: 433-436 - [c29]Guihua Tang, Sen Jia, Jun Li:
An enhanced density peak-based clustering approach for hyperspectral band selection. IGARSS 2015: 1116-1119 - [c28]Sen Jia, Guihua Tang, Jie Hu:
Band Selection of Hyperspectral Imagery Using a Weighted Fast Density Peak-Based Clustering Approach. IScIDE (1) 2015: 50-59 - [c27]Sen Jia, Yao Xie, Linlin Shen, Lin Deng:
Hyperspectral image classification using Fisher criterion-based Gabor cube selection and multi-task joint sparse representation. WHISPERS 2015: 1-4 - [c26]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Measuring Gender Bias in News Images. WWW (Companion Volume) 2015: 893-898 - 2014
- [j9]Sen Jia, Zexuan Zhu, Linlin Shen, Qingquan Li:
A Two-Stage Feature Selection Framework for Hyperspectral Image Classification Using Few Labeled Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1023-1035 (2014) - [c25]Sen Jia, Jinquan Liang, Yao Xie, Lin Deng:
A novel feature voting model for text classification. FSKD 2014: 306-311 - [c24]Haowen Pu, Sen Jia, Ran Yang:
Sparsity regularized nonlinear inverse reconstruction for subsampled parallel Dynamic Cardiac MRI. DSP 2014: 801-806 - [c23]Sen Jia, Lin Deng, LinLin Shen:
An effective collaborative representation algorithm for hyperspectral image classification. ICME 2014: 1-6 - [c22]LinLin Shen, Wenfeng Wu, Sen Jia, Zhenhuan Guo:
Coding 3D Gabor Features for Hyperspectral Palmprint Recognition. ICMB 2014: 169-173 - 2013
- [j8]LinLin Shen, Zexuan Zhu, Sen Jia, Jiasong Zhu, Yiwen Sun:
Discriminative Gabor Feature Selection for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 10(1): 29-33 (2013) - [c21]Sen Jia, Lin Deng:
A CW-SSIM distance measure-based affinity propagation for hyperspectral band selection. IGARSS 2013: 418-421 - [c20]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Noise reduction of hyperspectral imagery based on nonlocal tensor factorization. IGARSS 2013: 1083-1086 - [c19]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Visualization of hyperspectral imagery based on manifold learning. IGARSS 2013: 1979-1982 - 2012
- [j7]Sen Jia, Zhen Ji, Yuntao Qian, Linlin Shen:
Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 531-543 (2012) - [c18]Sen Jia, Jinquan Liang, Lin Deng, Yuntao Qian:
Minimum variance block-based nonnegative matrix factorization algorithm for hyperspectral unmixing. WHISPERS 2012: 1-4 - [c17]Sen Jia, Linlin Shen, Lin Deng:
Band selection-based Gabor wavelet feature extraction for hyperspectral imagery classification. WHISPERS 2012: 1-4 - 2011
- [j6]Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly:
Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 49(11): 4282-4297 (2011) - [j5]LinLin Shen, Sen Jia:
Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 49(12): 5039-5046 (2011) - [c16]Sen Jia, Ran Yang:
On analysis of k-t BLAST for dynamic MRI. ICCA 2011: 859-864 - 2010
- [j4]Zexuan Zhu, Sen Jia, Zhen Ji:
Towards a Memetic Feature Selection Paradigm [Application Notes]. IEEE Comput. Intell. Mag. 5(2): 41-53 (2010) - [c15]Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu:
Sparse nonnegative matrix factorization with the elastic net. BIBM 2010: 265-268 - [c14]Zexuan Zhu, Sen Jia, Zhen Ji:
Affinity propagation based memetic band selection on hyperspectral imagery datasets. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c13]Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly:
L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. DICTA 2010: 447-453 - [c12]Sen Jia, Yuntao Qian, Jiming Li, Yan Li, Zhong Ming:
Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing. ICIP 2010: 2305-2308 - [c11]Jiming Li, Yuntao Qian, Sen Jia:
Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization. ICIP 2010: 2309-2312 - [c10]Sen Jia, Yuntao Qian, Jiming Li, Weixiang Liu, Zhen Ji:
Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. IGARSS 2010: 72-75
2000 – 2009
- 2009
- [j3]Sen Jia, Yuntao Qian:
Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 161-173 (2009) - 2008
- [c9]Sen Jia, Yuntao Qian, Zhen Ji:
Band Selection for Hyperspectral Imagery Using Affinity Propagation. DICTA 2008: 137-141 - 2007
- [j2]Sen Jia, Yuntao Qian:
Mrf-ICA Mixture Model for Hyperspectral Imagery Unmixing. Int. J. Wavelets Multiresolution Inf. Process. 5(1): 113-127 (2007) - [j1]Sen Jia, Yuntao Qian:
Spectral and Spatial Complexity-Based Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 45(12-1): 3867-3879 (2007) - [c8]Sen Jia, Yuntao Qian:
A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. ICA 2007: 268-276 - 2006
- [c7]Guangjie Ling, Yuntao Qian, Sen Jia:
Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling. ADMA 2006: 731-740 - [c6]Sen Jia, Yuntao Qian:
Improved Stone's Complexity Pursuit for Hyperspectral Imagery Unmixing. ICPR (4) 2006: 817-820 - [c5]Sen Jia, Yuntao Qian:
MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing. SSPR/SPR 2006: 531-540 - 2005
- [c4]Sen Jia, Yuntao Qian:
An MRF-ICA Based Algorithm for Image Separation. ICNC (2) 2005: 391-395 - 2004
- [c3]Guang Dai, Yuntao Qian, Sen Jia:
Modified kernel-based nonlinear feature extraction [face recognition example]. ICASSP (5) 2004: 721-724 - [c2]Guang Dai, Yuntao Qian, Sen Jia:
A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. ICPR (2) 2004: 431-434 - [c1]Sen Jia, Yuntao Qian, Guang Dai:
An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. ICPR (3) 2004: 634-637
Coauthor Index
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