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ORCIDJie Mei 0004
Person information
- affiliation: Nankai University, TKLNDST, College of Computer Science, Tianjin, China
- affiliation: Beijing Normal University, State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, China
Other persons with the same name
- Jie Mei — disambiguation page
- Jie Mei 0001
![[0000-0002-2834-8346]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-2834-8346")
— Ningbo University, College of Electrical Engineering and Computer Sciences, China (and 2 more) - Jie Mei 0002 — Harbin Institute of Technology (HIT), School of Mechanical Engineering and Automation, Shenzhen, China
- Jie Mei 0003 — University of Washington, Department of Electrical and Computer Engineering, Seattle, WA, USA
- Jie Mei 0005 — Dalhousie University, Faculty of Computer Science, Halifax, Canada (and 1 more)
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2020 – today
- 2025
[j22]Haotian Lu, Jie Mei, Yu Qiu, Yumeng Li, Fangwei Hao, Jing Xu, Lin Tang:
Information sparsity guided transformer for multi-modal medical image super-resolution. Expert Syst. Appl. 261: 125428 (2025)- [j21]Xinjian Wei, Yu Qiu, Xiaoxuan Xu, Jing Xu, Jie Mei, Jun Zhang:
ECINFusion: A Novel Explicit Channel-Wise Interaction Network for Unified Multi-Modal Medical Image Fusion. IEEE Trans. Circuits Syst. Video Technol. 35(5): 4011-4025 (2025) - [j20]Yu Qiu, Yuhang Sun, Jie Mei, Lin Xiao, Jing Xu:
Salient Object Detection in Traffic Scene Through the TSOD10K Dataset. IEEE Trans. Image Process. 34: 7473-7488 (2025) - [i3]Yu Qiu, Yuhang Sun, Jie Mei, Lin Xiao, Jing Xu:
Salient Object Detection in Traffic Scene through the TSOD10K Dataset. CoRR abs/2503.16910 (2025) - 2024
- [j19]Yu Qiu, Haotian Lu, Jie Mei, Sixu Bao, Jing Xu:
Towards semi-supervised multi-modal rectal cancer segmentation: A large-scale dataset and a multi-teacher uncertainty-aware network. Expert Syst. Appl. 255: 124734 (2024) - [j18]Yu Qiu, Jie Mei, Jing Xu:
Superpixel-wise contrast exploration for salient object detection. Knowl. Based Syst. 292: 111617 (2024) - [j17]Yu Qiu, Chenyu Lin, Jie Mei, Yuhang Sun, Haotian Lu, Jing Xu:
Lightweight Cross-Modal Information Measure and Propagation for Road Extraction From Remote Sensing Image and Trajectory/LiDAR. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j16]Yu Qiu, Yuhang Sun, Jie Mei, Jing Xu:
Deeply Hybrid Contrastive Learning Based on Semantic Pseudo-Label for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Multim. 26: 10892-10907 (2024) - 2023
- [j15]Jie Mei, Yibo Zheng, Ming-Ming Cheng:
D2ANet: Difference-aware attention network for multi-level change detection from satellite imagery. Comput. Vis. Media 9(3): 563-579 (2023) - 2022
- [j14]Jie Mei, Ming-Ming Cheng, Gang Xu, Lan-Ruo Wan, Huan Zhang:
SANet: A Slice-Aware Network for Pulmonary Nodule Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4374-4387 (2022) - 2021
- [j13]Yun Cao, Jie Mei, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Bing Zhang, Lihua Li, Yibo Zheng:
SLCRF: Subspace Learning With Conditional Random Field for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4203-4217 (2021) - [j12]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rongguo Zhang, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. IEEE Trans. Image Process. 30: 3113-3126 (2021) - [j11]Jie Mei, Roujing Li, Wang Gao, Ming-Ming Cheng:
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery. IEEE Trans. Image Process. 30: 8540-8552 (2021) - 2020
- [j10]Panpan Zhu, Yumin Tan, Liqiang Zhang, Yuebin Wang, Jie Mei, Hao Liu, Mengfan Wu:
Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts. IEEE Trans. Geosci. Remote. Sens. 58(6): 4047-4060 (2020) - [j9]Xingang Li, Yuebin Wang, Liqiang Zhang, Suhong Liu, Jie Mei, Yang Li:
Topology-Enhanced Urban Road Extraction via a Geographic Feature-Enhanced Network. IEEE Trans. Geosci. Remote. Sens. 58(12): 8819-8830 (2020) - [i2]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. CoRR abs/2004.07054 (2020) - [i1]Yun Cao, Jie Mei, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Bing Zhang, Lihua Li, Yibo Zheng:
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification. CoRR abs/2010.03115 (2020)
2010 – 2019
- 2019
- [j8]Yuebin Wang, Jie Mei, Liqiang Zhang, Bing Zhang, Panpan Zhu, Yang Li, Xingang Li:
Self-Supervised Feature Learning With CRF Embedding for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(5): 2628-2642 (2019) - [j7]Jie Mei, Yuebin Wang, Liqiang Zhang, Bing Zhang, Suhong Liu, Panpan Zhu, Yingchao Ren:
PSASL: Pixel-Level and Superpixel-Level Aware Subspace Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(7): 4278-4293 (2019) - 2018
- [j6]Yuebin Wang, Liqiang Zhang, Xiaohua Tong, Feiping Nie, Haiyang Huang, Jie Mei:
LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification. IEEE Trans. Geosci. Remote. Sens. 56(2): 621-634 (2018) - [j5]Jie Mei, Liqiang Zhang, Yuebin Wang, Zidong Zhu, Huiqian Ding:
Joint Margin, Cograph, and Label Constraints for Semisupervised Scene Parsing From Point Clouds. IEEE Trans. Geosci. Remote. Sens. 56(7): 3800-3813 (2018) - [j4]Yuebin Wang, Jie Mei, Liqiang Zhang, Bing Zhang, Anjian Li, Yibo Zheng, Panpan Zhu:
Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(10): 5658-5672 (2018) - 2017
- [j3]Jie Mei, Liqiang Zhang, Shihao Wu, Zhen Wang, Liang Zhang:
3D tree modeling from incomplete point clouds via optimization and L1-MST. Int. J. Geogr. Inf. Sci. 31(5): 999-1021 (2017) - 2016
- [j2]Zhen Wang, Liqiang Zhang, Tian Fang, Xiaohua Tong, P. Takis Mathiopoulos, Liang Zhang, Jie Mei:
A Local Structure and Direction-Aware Optimization Approach for Three-Dimensional Tree Modeling. IEEE Trans. Geosci. Remote. Sens. 54(8): 4749-4757 (2016) - [j1]Zhuqiang Li, Liqiang Zhang, Xiaohua Tong, Bo Du, Yuebin Wang, Liang Zhang, Zhenxin Zhang, Hao Liu, Jie Mei, Xiaoyue Xing, P. Takis Mathiopoulos:
A Three-Step Approach for TLS Point Cloud Classification. IEEE Trans. Geosci. Remote. Sens. 54(9): 5412-5424 (2016)
Coauthor Index
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