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ORCIDFang Liu 0001
Person information
- affiliation: Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0002
![[0000-0001-8753-3878]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8753-3878")
— HuNan University, School of Design, Changsha, China (and 2 more) - Fang Liu 0003 — Anhui University, College of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Fang Liu 0004 — Shenyang Ligong University, School of Information Science and Engineering, China
- Fang Liu 0005 — University of Wisconsin at Madison, Department of Radiology, WI, USA
- Fang Liu 0006 — University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008 — Nanyang Technological University, Nanyang Business School, Singapore (and 1 more)
- Fang Liu 0009 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0011 — Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China (and 1 more)
- Fang Liu 0012 — Tianjin University, School of Electrical and Information Engineering, Key Laboratory of Smart Grid of MoE, China
- Fang Liu 0013 — Zhejiang University of Finance and Economics, School of Accounting, Hangzhou, China
- Fang Liu 0014 — Central South University, School of Automation, Changsha, China
- Fang Liu 0015 — Shenyang Ligong University, College of Science, Shenyang, China
- Fang Liu 0016 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Fang Liu 0017 — Guangxi University, School of Mathematics and Information Science, Nanning, China (and 1 more)
- Fang Liu 0018 — University of Reading, School of Psychology and Clinical Language Sciences, Reading, UK (and 2 more)
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021 — Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China (and 1 more)
- Fang Liu 0022 — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Fang Liu 0023 — Huanghuai University, School of Information Engineering, Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots, Zhumadian, China (and 1 more)
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang (Cherry) Liu (aka: Fang Liu 0028) — Georgia Institute of Technology, Partnership for An Advanced Computing Environment, Atlanta, GA, USA (and 2 more)
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030 — Guangdong University of Finance and Economics, School of Internet Finance and Information Engineering, Guangzhou, China (and 1 more)
- Fang Liu 0031 — Wuhan University, School of Computer Science, China (and 1 more)
- Fang Liu 0032 — Peking University, Key Lab of High Confidence Software Technology, chool of Computer Science, Beijing, China
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2020 – today
- 2023
[j180]Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu, Yuwei Guo:
MinEnt: Minimum entropy for self-supervised representation learning. Pattern Recognit. 138: 109364 (2023)- [j179]Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng:
Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2992-3033 (2023) - [j178]Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Hua Yang, Xu Liu, Lingling Li, Puhua Chen:
SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4000-4012 (2023) - [j177]Licheng Jiao, Jie Chen, Fang Liu, Shuyuan Yang, Chao You, Xu Liu, Lingling Li, Biao Hou:
Graph Representation Learning Meets Computer Vision: A Survey. IEEE Trans. Artif. Intell. 4(1): 2-22 (2023) - [j176]Licheng Jiao, Jie Gao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou:
Multiscale Representation Learning for Image Classification: A Survey. IEEE Trans. Artif. Intell. 4(1): 23-43 (2023) - [j175]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu:
DFAT: Dynamic Feature-Adaptive Tracking. IEEE Trans. Circuits Syst. Video Technol. 33(1): 43-58 (2023) - [j174]Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Lingling Li, Puhua Chen, Xiufang Li, Zhongjian Huang:
Dual Wavelet Attention Networks for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1899-1910 (2023) - [j173]Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen:
Learning Salient Feature for Salient Object Detection Without Labels. IEEE Trans. Cybern. 53(2): 1012-1025 (2023) - [j172]Xiaotong Li, Licheng Jiao, Hao Zhu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang, Rong Qu:
A Collaborative Learning Tracking Network for Remote Sensing Videos. IEEE Trans. Cybern. 53(3): 1954-1967 (2023) - [j171]Xiaoqiang Lu, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Zhixi Feng, Puhua Chen:
Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j170]Wenzhen Wang, Fang Liu, Jia Liu, Liang Xiao:
Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j169]Yuting Yang, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang:
An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j168]Zixiao Zhang, Licheng Jiao, Lingling Li, Xu Liu, Puhua Chen, Fang Liu, Yuxuan Li, Zhicheng Guo:
A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j167]Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang, Jianlong Wang, Xu Liu:
Curvelet Adversarial Augmented Neural Network for SAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j166]Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu, Fang Liu:
A Universal Quaternion Hypergraph Network for Multimodal Video Question Answering. IEEE Trans. Multim. 25: 38-49 (2023) - [i15]Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search. CoRR abs/2302.02565 (2023) - 2022
- [j165]Lingling Li, Xiaohui Guo, Yan Wang, Jingjing Ma, Licheng Jiao, Fang Liu, Xu Liu:
Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping. Neurocomputing 468: 482-491 (2022) - [j164]Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu:
Augmentative contrastive learning for one-shot object detection. Neurocomputing 513: 13-24 (2022) - [j163]Bingqi Yu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xu Tang:
Entire Deformable ConvNets for semantic segmentation. Knowl. Based Syst. 250: 108871 (2022) - [j162]Andi Zhang, Fang Liu, Jia Liu, Xu Tang, Wenfei Gao, Donghui Li, Liang Xiao:
Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j161]Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li, Xiaoxue Qian:
TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification. Remote. Sens. 14(10): 2451 (2022) - [j160]Jingjing Ma, Mingteng Li, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Homo-Heterogenous Transformer Learning Framework for RS Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2223-2239 (2022) - [j159]Licheng Jiao, Yuting Yang, Fang Liu, Shuyuan Yang, Biao Hou:
The New Generation Brain-Inspired Sparse Learning: A Comprehensive Survey. IEEE Trans. Artif. Intell. 3(6): 887-907 (2022) - [j158]Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu:
Evolving Connections in Group of Neurons for Robust Learning. IEEE Trans. Cybern. 52(5): 3069-3082 (2022) - [j157]Xu Liu, Licheng Jiao, Lingling Li, Lin Cheng, Fang Liu, Shuyuan Yang, Biao Hou:
Deep Multiview Union Learning Network for Multisource Image Classification. IEEE Trans. Cybern. 52(6): 4534-4546 (2022) - [j156]Xu Liu, Lingling Li, Fang Liu, Biao Hou, Shuyuan Yang, Licheng Jiao:
GAFnet: Group Attention Fusion Network for PAN and MS Image High-Resolution Classification. IEEE Trans. Cybern. 52(10): 10556-10569 (2022) - [j155]Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang:
Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j154]Yuanhao Cui, Fang Liu, Licheng Jiao, Yuwei Guo, Xuefeng Liang, Lingling Li, Shuyuan Yang, Xiaoxue Qian:
Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j153]Huihui Dong, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang:
Deep Shearlet Network for Change Detection in SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j152]Huihui Dong, Wenping Ma, Licheng Jiao, Fang Liu, Lingling Li:
A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j151]Yuwei Guo, Licheng Jiao, Rong Qu, Zhuangzhuang Sun, Shuang Wang, Shuo Wang, Fang Liu:
Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j150]Kaixuan Jiang, Wenhua Zhang, Jia Liu, Fang Liu, Liang Xiao:
Joint Variation Learning of Fusion and Difference Features for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j149]Aijin Li, Licheng Jiao, Hao Zhu, Lingling Li, Fang Liu:
Multitask Semantic Boundary Awareness Network for Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j148]Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang, Liang Xiao:
Adaptive Graph Convolutional Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j147]Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao:
A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j146]Xiaoqiang Lu, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Zhixi Feng, Lingling Li, Puhua Chen:
Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j145]Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang, Biao Hou:
Transfer Representation Learning Meets Multimodal Fusion Classification for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j144]Zhaoliang Pi, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Biao Hou, Shuyuan Yang:
Very Low-Resolution Moving Vehicle Detection in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j143]Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Puhua Chen, Lingling Li, Jing Gu, Yuanhao Cui:
A Hybrid Network With Structural Constraints for SAR Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j142]Wei Song, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang, Biao Hou, Wenhua Zhang:
A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j141]Xu Tang, Weiquan Lin, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Class-Level Prototype Guided Multiscale Feature Learning for Remote Sensing Scene Classification With Limited Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j140]Xu Tang, Mingteng Li, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
EMTCAL: Efficient Multiscale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j139]Xu Tang, Yuqun Yang, Jingjing Ma, Yiu-Ming Cheung, Chao Liu, Fang Liu, Xiangrong Zhang, Licheng Jiao:
Meta-Hashing for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j138]Xu Tang, Huayu Zhang, Lichao Mou, Fang Liu, Xiangrong Zhang, Xiao Xiang Zhu, Licheng Jiao:
An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j137]Yuqun Yang, Xu Tang, Yiu-Ming Cheung, Xiangrong Zhang, Fang Liu, Jingjing Ma, Licheng Jiao:
AR2Det: An Accurate and Real-Time Rotational One-Stage Ship Detector in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j136]Wenhua Zhang, Licheng Jiao, Fang Liu, Jia Liu, Zhen Cui:
LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j135]Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Jia Liu:
MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j134]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Wei Song, Jia Liu:
Sparse Feature Clustering Network for Unsupervised SAR Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j133]Hao Zhu, Kenan Sun, Licheng Jiao, Xiaotong Li, Fang Liu, Biao Hou, Shuang Wang:
Adaptive Dual-Path Collaborative Learning for PAN and MS Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j132]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu:
Adaptive Contourlet Fusion Clustering for SAR Image Change Detection. IEEE Trans. Image Process. 31: 2295-2308 (2022) - [j131]Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Yake Zhang, Jianlong Wang:
Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited Labeled Data. IEEE Trans. Image Process. 31: 6502-6516 (2022) - [j130]Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Xu Liu, Lingling Li:
MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors. IEEE Trans. Image Process. 31: 7306-7321 (2022) - [j129]Licheng Jiao, Ruohan Zhang, Fang Liu, Shuyuan Yang, Biao Hou, Lingling Li, Xu Tang:
New Generation Deep Learning for Video Object Detection: A Survey. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3195-3215 (2022) - [j128]Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Meng Jian:
DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6402-6416 (2022) - [c54]Shuo Li, Fang Liu, Licheng Jiao:
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection. AAAI 2022: 1395-1403 - [c53]Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao:
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space. ECCV (31) 2022: 420-436 - [c52]Jiahao Wang, Hao Wang, Zhuojun Dong, Hua Yang, Yuting Yang, Qianyue Bao, Fang Liu, Licheng Jiao:
A Three-Stage Model Fusion Method for Out-of-Distribution Generalization. ECCV Workshops (6) 2022: 488-499 - [c51]Xu Liu, Licheng Jiao, Fang Liu, Dan Zhang, Xu Tang:
PolSF: PolSAR Image Datasets on San Francisco. IFIP TC12 ICIS 2022: 214-219 - [c50]Lingling Li, Yukai Sun, Fuhai Ma, Jingjing Ma, Licheng Jiao, Fang Liu:
Deep Complex Convolutional Neural Networks for Remote Sensing Image Classification. IFIP TC12 ICIS 2022: 252-259 - [c49]Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi:
A Dual-Fusion Semantic Segmentation Framework with Gan for SAR Images. IGARSS 2022: 991-994 - [c48]Yuqun Yang, Xu Tang, Fang Liu, Jingjing Ma, Licheng Jiao:
Remote Sensing Image Change Detection Based on Deep Dictionary Learning. IGARSS 2022: 1416-1419 - [c47]Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li:
Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos. ACM Multimedia 2022: 6103-6112 - [i14]Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Zhixi Feng, Xu Tang:
Transformers Meet Visual Learning Understanding: A Comprehensive Review. CoRR abs/2203.12944 (2022) - [i13]Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi:
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images. CoRR abs/2206.01096 (2022) - [i12]Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu:
Delving into Semantic Scale Imbalance. CoRR abs/2212.14613 (2022) - 2021
- [j127]Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao:
Deep associative learning for neural networks. Neurocomputing 443: 222-234 (2021) - [j126]Yuanhao Cui, Fang Liu, Xiaojun Jing, Junsheng Mu:
Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges. IEEE Netw. 35(5): 158-167 (2021) - [j125]Xu Tang, Qiushuo Ma, Xiangrong Zhang, Fang Liu, Jingjing Ma, Licheng Jiao:
Attention Consistent Network for Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2030-2045 (2021) - [j124]Fang Liu, Xu Tang, Xiangrong Zhang, Licheng Jiao, Jia Liu:
Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode. IEEE Trans. Geosci. Remote. Sens. 59(1): 363-378 (2021) - [j123]Minghao Zhu, Licheng Jiao, Fang Liu, Shuyuan Yang, Jianing Wang:
Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(1): 449-462 (2021) - [j122]Meijuan Yang, Licheng Jiao, Biao Hou, Fang Liu, Shuyuan Yang:
Selective Adversarial Adaptation-Based Cross-Scene Change Detection Framework in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(3): 2188-2203 (2021) - [j121]Xu Tang, Fanbo Meng, Xiangrong Zhang, Yiu-Ming Cheung, Jingjing Ma, Fang Liu, Licheng Jiao:
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network. IEEE Trans. Geosci. Remote. Sens. 59(3): 2430-2447 (2021) - [j120]Chao Liu, Jingjing Ma, Xu Tang, Fang Liu, Xiangrong Zhang, Licheng Jiao:
Deep Hash Learning for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 59(4): 3420-3443 (2021) - [j119]Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Yuwei Guo, Xu Liu, Yuanhao Cui:
Ridgelet-Nets With Speckle Reduction Regularization for SAR Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(11): 9290-9306 (2021) - [j118]Haoran Wang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan:
IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 6583-6593 (2021) - [j117]Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang:
C-CNN: Contourlet Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2636-2649 (2021) - [c46]Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. ICCVW 2021: 762-768 - [c45]Zixiao Zhang, Xiaoqiang Lu, Guojin Cao, Yuting Yang, Licheng Jiao, Fang Liu:
ViT-YOLO: Transformer-Based YOLO for Object Detection. ICCVW 2021: 2799-2808 - [c44]Yanbiao Ma, Yuxin Li, Kexin Feng, Xueli Geng, Licheng Jiao, Fang Liu, Yuting Yang:
Multisource Data Fusion for the Detection of Settlements Without Electricity. IGARSS 2021: 1839-1842 - [c43]Ruoxian Feng, Mengjiao Wang, Xuanming Zhang, Jun Zhang, Licheng Jiao, Xu Liu, Fang Liu:
DO-UNet, DO-LinkNet: UNet, D-LinkNet with DO-Conv for the Detection of Settlements without Electricity Challenge. IGARSS 2021: 1851-1854 - [c42]Qianyue Bao, Yang Liu, Zixiao Zhang, Dafan Chen, Yuting Yang, Licheng Jiao, Fang Liu:
MRTA: Multi-Resolution Training Algorithm for Multitemporal Semantic Change Detection. IGARSS 2021: 2062-2065 - [i11]Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu:
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization. CoRR abs/2103.02904 (2021) - [i10]Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu:
MWQ: Multiscale Wavelet Quantized Neural Networks. CoRR abs/2103.05363 (2021) - [i9]Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu:
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment. CoRR abs/2105.01353 (2021) - [i8]Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. CoRR abs/2108.13246 (2021) - 2020
- [j116]Fei Hu, Long Ye, Wei Zhong, Fang Liu, Qin Zhang:
Deep Auxiliary Learning for Point Cloud Generation. IEEE Access 8: 18538-18545 (2020) - [j115]Jingyi Ding, Jian Song, Licheng Jiao, Jianshe Wu, Fang Liu:
Multi-Resolution Prediction Model Based on Community Relevance for Missing Links Prediction. IEEE Access 8: 113981-113993 (2020) - [j114]Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu:
SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. IEEE Access 8: 146560-146576 (2020) - [j113]Licheng Jiao, Mengxuan Zhang, Fang Liu, Wenping Ma, Lingling Li:
A Two-Stage Evolutionary Fuzzy Clustering Framework for Noisy Image Segmentation. IEEE Access 8: 186663-186678 (2020) - [j112]Lingling Li, Liyuan Ma, Licheng Jiao, Fang Liu, Qigong Sun, Jin Zhao:
Complex Contourlet-CNN for polarimetric SAR image classification. Pattern Recognit. 100: 107110 (2020) - [j111]Yuwei Guo, Zhuangzhuang Sun, Rong Qu, Licheng Jiao, Fang Liu, Xiangrong Zhang:
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification. Remote. Sens. 12(10): 1694 (2020) - [j110]Lingling Li, Pujiang Liang, Jingjing Ma, Licheng Jiao, Xiaohui Guo, Fang Liu, Chen Sun:
A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification. Remote. Sens. 12(14): 2209 (2020) - [j109]Jingjing Ma, Linlin Wu, Xu Tang, Fang Liu, Xiangrong Zhang, Licheng Jiao:
Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network. Remote. Sens. 12(15): 2350 (2020) - [j108]Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang:
Discriminative Sketch Topic Model With Structural Constraint for SAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5730-5745 (2020) - [j107]Jing Gu, Licheng Jiao, Fang Liu, Xiangrong Zhang, Xu Tang, Puhua Chen:
Multi-Feature Weighted Sparse Graph for SAR Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(2): 881-891 (2020) - [j106]Lingling Li, Jie Zeng, Licheng Jiao, Pujiang Liang, Fang Liu, Shuyuan Yang:
Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification. IEEE Trans. Geosci. Remote. Sens. 58(3): 2027-2041 (2020) - [c41]Shichao Nie, Chengconghui Ma, Dafan Chen, Shuting Yin, Haoran Wang, Licheng Jiao, Fang Liu:
A Dual Residual Network with Channel Attention for Image Restoration. ECCV Workshops (5) 2020: 352-363 - [c40]Xu Tang, Fanbo Meng, Jingjing Ma, Xiangrong Zhang, Fang Liu, Qunnie Peng, Licheng Jiao:
Hyperspectral Image Classification Based on Multiscale Spatial and Spectral Feature Network. IGARSS 2020: 838-841 - [c39]Xu Liu, Licheng Jiao, Fang Liu, Xin Hou, Dan Zhang:
Feature Correlation Analysis of Two-Branch Convolutional Networks for Multi-Source Image Classification. IGARSS 2020: 936-939 - [c38]Chao Liu, Xu Tang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Junyong Ma, Licheng Jiao:
Remote Sensing Images Feature Learning based On Multi-Branch Networks. IGARSS 2020: 2057-2060 - [c37]