Xu Liu

According to our database, Xu Liu authored at least 100 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Quantum Evolutionary Learning Tracker for Video.

Ruohan Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

IEEE Trans. Evol. Comput., April, 2024

Evolutionary Dual-Stream Transformer.

Ruohan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang

IEEE Trans. Cybern., April, 2024

Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search.

Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

IEEE Trans. Evol. Comput., February, 2024

Transformer with a Parallel Decoder for Image Captioning.

Peilang Wei, Xu Liu, Jun Luo, Huayan Pu, Xiaoxu Huang, Shilong Wang, Huajun Cao, Shouhong Yang, Xu Zhuang, Jason Wang, Hong Yue, Cheng Ji, Mingliang Zhou

Int. J. Pattern Recognit. Artif. Intell., January, 2024

Saliency and Depth-Aware Full Reference 360-Degree Image Quality Assessment.

Xuekai Wei, Qunyue Huang, Bin Fang, Lei Ouyang, Weizhi Xian, Jun Luo, Huayan Pu, Xueyong Xu, Chang Lu, Hao Nan, Xu Liu, Yachao Li, Mingliang Zhou

Int. J. Pattern Recognit. Artif. Intell., January, 2024

Feature Distribution Representation Learning Based on Knowledge Transfer for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

IEEE Trans. Multim., 2024

Bio-Inspired Multi-Scale Contourlet Attention Networks.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xiangrong Zhang

IEEE Trans. Multim., 2024

Multi-Scale Contourlet Knowledge Guide Learning Segmentation.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Shuang Wang, Biao Hou

IEEE Trans. Multim., 2024

Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains.

Pei He, Licheng Jiao, Fang Liu, Xu Liu, Ronghua Shang, Shuang Wang

IEEE Trans. Multim., 2024

Robust Instance-Based Semi-Supervised Learning Change Detection for Remote Sensing Images.

Yi Zuo, Lingling Li, Xu Liu, Zihan Gao, Licheng Jiao, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Relation Learning Reasoning Meets Tiny Object Tracking in Satellite Videos.

Xiaoyan Yang, Licheng Jiao, Yangyang Li, Xu Liu, Fang Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

LGLFormer: Local-Global Lifting Transformer for Remote Sensing Scene Parsing.

Yuting Yang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection.

Xu Liu, Yu Liu, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2024

$C^{2}N^{2}$: Complex-Valued Contourlet Neural Network.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Yuwei Guo, Puhua Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Global Shapes and Salient Joints Features Learning for Skeleton-Based Action Recognition.

Xingtong He, Xu Liu, Licheng Jiao

IEEE Signal Process. Lett., 2024

Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

CoRR, 2024

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization.

Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation.

Jingyi Yang, Licheng Jiao, Ronghua Shang, Xu Liu, Ruiyang Li, Longchang Xu

IEEE Trans. Medical Imaging, November, 2023

Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference.

Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Xinyan Huang, Shuo Li, Puhua Chen, Xu Liu

Pattern Recognit., November, 2023

RDLNet: A Regularized Descriptor Learning Network.

Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Hao Zhu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Knowledge transduction for cross-domain few-shot learning.

Pengfang Li, Fang Liu, Licheng Jiao, Shuo Li, Lingling Li, Xu Liu, Xinyan Huang

Pattern Recognit., September, 2023

A multimodal hyper-fusion transformer for remote sensing image classification.

Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Lingling Li, Zhixi Feng, Fang Liu, Shuyuan Yang

Inf. Fusion, August, 2023

Multiscale Curvelet Scattering Network.

Jie Gao, Licheng Jiao, Fang Liu, Shuyuan Yang, Biao Hou, Xu Liu

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark.

Haoran Wang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan

IEEE Trans. Neural Networks Learn. Syst., June, 2023

MinEnt: Minimum entropy for self-supervised representation learning.

Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu, Yuwei Guo

Pattern Recognit., June, 2023

Dual Wavelet Attention Networks for Image Classification.

Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Lingling Li, Puhua Chen, Xiufang Li, Zhongjian Huang

IEEE Trans. Circuits Syst. Video Technol., April, 2023

Multiscale Representation Learning for Image Classification: A Survey.

Licheng Jiao, Jie Gao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Artif. Intell., February, 2023

Graph Representation Learning Meets Computer Vision: A Survey.

Licheng Jiao, Jie Chen, Fang Liu, Shuyuan Yang, Chao You, Xu Liu, Lingling Li, Biao Hou

IEEE Trans. Artif. Intell., February, 2023

Transformer Based Conditional GAN for Multimodal Image Fusion.

Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Multim., 2023

$D^{3}K$: Dynastic Data-Free Knowledge Distillation.

Xiufang Li, Qigong Sun, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Yi Zuo

IEEE Trans. Multim., 2023

A Universal Quaternion Hypergraph Network for Multimodal Video Question Answering.

Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu, Fang Liu

IEEE Trans. Multim., 2023

GeoFormer: A Geometric Representation Transformer for Change Detection.

Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

Curvelet Adversarial Augmented Neural Network for SAR Image Classification.

Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang, Jianlong Wang, Xu Liu

IEEE Trans. Geosci. Remote. Sens., 2023

A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering.

Zixiao Zhang, Licheng Jiao, Lingling Li, Xu Liu, Puhua Chen, Fang Liu, Yuxuan Li, Zhicheng Guo

IEEE Trans. Geosci. Remote. Sens., 2023

Boundary-Aware Multiscale Learning Perception for Remote Sensing Image Segmentation.

Chao You, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Wenping Ma, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification.

Yuting Yang, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

CSLT: Contourlet-Based Siamese Learning Tracker for Dim and Small Targets in Satellite Videos.

Yinan Wu, Licheng Jiao, Fang Liu, Zhaoliang Pi, Xu Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image.

Jiahao Wang, Fang Liu, Hao Wang, Xu Liu, Licheng Jiao, Hua Yang, Lingling Li, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Which Target to Focus on: Class-Perception for Semantic Segmentation of Remote Sensing.

Long Sun, Lingling Li, Yilin Shao, Licheng Jiao, Xu Liu, Puhua Chen, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2023

A Spatial-Spectral Bilinear Representation Fusion Network for Multimodal Classification.

Xue Song, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation.

Xiaoqiang Lu, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Zhixi Feng, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Multisource Joint Representation Learning Fusion Classification for Remote Sensing Images.

Xueli Geng, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Xiangrong Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

Learning Salient Feature for Salient Object Detection Without Labels.

Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen

IEEE Trans. Cybern., 2023

SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection.

Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Hua Yang, Xu Liu, Lingling Li, Puhua Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey.

Licheng Jiao, Xin Zhang, Xu Liu, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Yuwei Guo, Xu Tang, Biao Hou, Xiangrong Zhang, Jing Bai, Dou Quan, Junpeng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey.

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

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey.

Licheng Jiao, Zhongjian Huang, Xiaoqiang Lu, Xu Liu, Yuting Yang, Jiaxuan Zhao, Jinyue Zhang, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Xiangrong Zhang, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Data-Centric Long-Tailed Image Recognition.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

CoRR, 2023

Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search.

Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

CoRR, 2023

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dense Cross-Scale Transformer with Channel Learning for Remote Sensing Scene Classification.

Dan Zhang, Yuting Yang, Xu Liu, Wenping Ma, Licheng Jiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Trident Cooperation Network for Building Extraction and Height Estimation.

Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Strong Vision Transformer Adapter with Adaptive Thresholding for fine-Grained Building Classification.

Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Swin Resnetswin Transformers for Change Detection in Remote Sensing Images.

Xu Liu, Yu Liu, Licheng Jiao, Lingling Li, Fang Liu, Dan Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Delving into Semantic Scale Imbalance.

Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors.

Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Xu Liu, Lingling Li

IEEE Trans. Image Process., 2022

MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos.

Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2022

A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos.

Wei Song, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang, Biao Hou, Wenhua Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

Very Low-Resolution Moving Vehicle Detection in Satellite Videos.

Zhaoliang Pi, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Biao Hou, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Transfer Representation Learning Meets Multimodal Fusion Classification for Remote Sensing Images.

Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2022

Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation.

Xiaoqiang Lu, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Zhixi Feng, Lingling Li, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2022

MANet: Multi-Scale Aware-Relation Network for Semantic Segmentation in Aerial Scenes.

Pei He, Licheng Jiao, Ronghua Shang, Shuang Wang, Xu Liu, Dou Quan, Kun Yang, Dong Zhao

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Shearlet Network for Change Detection in SAR Images.

Huihui Dong, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification.

Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2022

GAFnet: Group Attention Fusion Network for PAN and MS Image High-Resolution Classification.

Xu Liu, Lingling Li, Fang Liu, Biao Hou, Shuyuan Yang, Licheng Jiao

IEEE Trans. Cybern., 2022

Deep Multiview Union Learning Network for Multisource Image Classification.

Xu Liu, Licheng Jiao, Lingling Li, Lin Cheng, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Cybern., 2022

TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification.

Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li, Xiaoxue Qian

Remote. Sens., 2022

CDANet: Common-and-Differential Attention Network for Object Detection and Instance Segmentation.

Yan Wang, Yang Li, Xiaohui Guo, Licheng Jiao, Xu Liu

Pattern Recognit. Lett., 2022

Entire Deformable ConvNets for semantic segmentation.

Bingqi Yu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xu Tang

Knowl. Based Syst., 2022

Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping.

Lingling Li, Xiaohui Guo, Yan Wang, Jingjing Ma, Licheng Jiao, Fang Liu, Xu Liu

Neurocomputing, 2022

Augmentative contrastive learning for one-shot object detection.

Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu

Neurocomputing, 2022

Transformers Meet Visual Learning Understanding: A Comprehensive Review.

Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Zhixi Feng, Xu Tang

CoRR, 2022

Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos.

Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PolSF: PolSAR Image Datasets on San Francisco.

Xu Liu, Licheng Jiao, Fang Liu, Dan Zhang, Xu Tang

Proceedings of the Intelligence Science IV, 2022

CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive Learning for Thermal Image Super-Resolution.

Kai Wang, Qigong Sun, Yicheng Wang, Huiyuan Wei, Chonghua Lv, Xiaolin Tian, Xu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

C-CNN: Contourlet Convolutional Neural Networks.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang

IEEE Trans. Neural Networks Learn. Syst., 2021

IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection.

Haoran Wang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan

IEEE Trans. Image Process., 2021

Ridgelet-Nets With Speckle Reduction Regularization for SAR Image Scene Classification.

Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Yuwei Guo, Xu Liu, Yuanhao Cui

IEEE Trans. Geosci. Remote. Sens., 2021

Deep multi-level fusion network for multi-source image pixel-wise classification.

Xu Liu, Licheng Jiao, Lingling Li, Xu Tang, Yuwei Guo

Knowl. Based Syst., 2021

One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment.

Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu

CoRR, 2021

Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification.

Yanqiao Chen, Lingling Li, Licheng Jiao, Yangyang Li, Xu Liu, Xinghua Chai

IEEE Access, 2021

DO-UNet, DO-LinkNet: UNet, D-LinkNet with DO-Conv for the Detection of Settlements without Electricity Challenge.

Ruoxian Feng, Mengjiao Wang, Xuanming Zhang, Jun Zhang, Licheng Jiao, Xu Liu, Fang Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Sparse Flow Adversarial Model For Robust Image Compression.

Shihui Zhao, Shuyuan Yang, Zhi Liu, Zhixi Feng, Xu Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Scale Progressive Attention Network for Video Question Answering.

Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu, Lingling Li

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

MultiResolution Attention Extractor for Small Object Detection.

Fan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu

CoRR, 2020

SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification.

Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu

IEEE Access, 2020

Feature Correlation Analysis of Two-Branch Convolutional Networks for Multi-Source Image Classification.

Xu Liu, Licheng Jiao, Fang Liu, Xin Hou, Dan Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deep Adaptive Proposal Network in Optical Remote Sensing Images Objective Detection.

Lingling Li, Lin Cheng, Xiaohui Guo, Xu Liu, Licheng Jiao, Fang Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Deep Learning Filter for Visual Drone Single Object Tracking.

Xin Zhang, Licheng Jiao, Xu Liu, Xiaotong Li, Wenhua Zhang, Hao Zhu, Jie Zhang

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Polarimetric Convolutional Network for PolSAR Image Classification.

Xu Liu, Licheng Jiao, Xu Tang, Qigong Sun, Dan Zhang

IEEE Trans. Geosci. Remote. Sens., 2019

Adaptive Multiscale Deep Fusion Residual Network for Remote Sensing Image Classification.

Ge Li, Lingling Li, Hao Zhu, Xu Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2019

PolSF: PolSAR image dataset on San Francisco.

Xu Liu, Licheng Jiao, Fang Liu

CoRR, 2019

High-Resolution SAR Change Detection Based on ROI and SPP Net.

Lingling Li, Zhengyan Yang, Licheng Jiao, Fang Liu, Xu Liu

IEEE Access, 2019

Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images.

Wenhua Zhang, Licheng Jiao, Xu Liu, Jia Liu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semi-Supervised Pyramid Feature Co-Training Network for Lidar Data Classification.

Zexin Wang, Haoran Wang, Licheng Jiao, Xu Liu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification.

Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Polsar Image Classification Based on Polarimetric Scattering Coding and Sparse Support Matrix Machine.

Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery.

Xu Liu, Licheng Jiao, Jiaqi Zhao, Jin Zhao, Dan Zhang, Fang Liu, Shuyuan Yang, Xu Tang

IEEE Trans. Geosci. Remote. Sens., 2018

Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images.

Lin Cheng, Xu Liu, Lingling Li, Licheng Jiao, Xu Tang

CoRR, 2018