Object or background: Whose call is it in complicated scene classification? - Lichao Mou; Xiaoqiang Lu; Yuan Yuan 001 (ChinaSIP, 2013)

Scene Parsing From an MAP Perspective. - Xuelong Li 001; Lichao Mou; Xiaoqiang Lu (IEEE Trans. Cybern., 2015)

Semi-Supervised Multitask Learning for Scene Recognition. - Xiaoqiang Lu; Xuelong Li 001; Lichao Mou (IEEE Trans. Cybern., 2015)

Scene Recognition by Manifold Regularized Deep Learning Architecture. - Yuan Yuan 001; Lichao Mou; Xiaoqiang Lu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Spatiotemporal scene interpretation of space videos via deep neural network and tracklet analysis. - Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2016)

Video parsing via spatiotemporally analysis with images. - Xuelong Li 001; Lichao Mou; Xiaoqiang Lu (Multim. Tools Appl., 2016)

Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection. - Haobo Lyu; Hui Lu 003; Lichao Mou (Remote. Sens., 2016)

Identifying corresponding patches in SAR and optical imagery with a convolutional neural network. - Lichao Mou; Michael Schmitt 003; Yuanyuan Wang 002; Xiao Xiang Zhu 001 (IGARSS, 2017)

Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning. - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IGARSS, 2017)

FusioNet: A two-stream convolutional neural network for urban scene classification using PolSAR and hyperspectral data. - Jingliang Hu; Lichao Mou; Andreas Schmitt; Xiao Xiang Zhu 001 (JURSE, 2017)

A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes. - Lichao Mou; Michael Schmitt 003; Yuanyuan Wang 002; Xiao Xiang Zhu 001 (JURSE, 2017)

Deep learning in remote sensing: a review. - Xiao Xiang Zhu 001; Devis Tuia; Lichao Mou; Gui-Song Xia; Liangpei Zhang 001; Feng Xu 001; Friedrich Fraundorfer (CoRR, 2017)

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. - Lichao Mou; Xiaoxiang Zhu 001; Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Paragios; Bertrand Le Saux; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Deep Recurrent Neural Networks for Hyperspectral Image Classification. - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

LAHNet: A Convolutional Neural Network Fusing Low- and High-Level Features for Aerial Scene Classification. - Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2018)

Classification of Settlement Types from Tweets Using LDA and LSTM. - Rong Huang; Hannes Taubenböck; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2018)

Hierarchical Region Based Convolution Neural Network for Multiscale Object Detection in Remote Sensing Images. - Qingpeng Li; Lichao Mou; Kaiyu Jiang; Qingjie Liu 001; Yunhong Wang 001; Xiao Xiang Zhu 001 (IGARSS, 2018)

A Recurrent Convolutional Neural Network for Land Cover Change Detection in Multispectral Images. - Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2018)

Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. - Chunping Qiu; Michael Schmitt 003; Pedram Ghamisi; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2018)

IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network. - Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2018)

RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images. - Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2018)

Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network. - Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2018)

Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification. - Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2018)

R3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos. - Qingpeng Li; Lichao Mou; Qizhi Xu; Yun Zhang 014; Xiao Xiang Zhu 001 (CoRR, 2018)

Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN. - Lloyd H. Hughes; Michael Schmitt 003; Lichao Mou; Yuanyuan Wang 002; Xiao Xiang Zhu 001 (IEEE Geosci. Remote. Sens. Lett., 2018)

Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data. - Haobo Lyu; Hui Lu 003; Lichao Mou; Wenyu Li; Jonathon S. Wright; Xuecao Li; Xinlu Li; Xiao Xiang Zhu 001; Jie Wang 036; Le Yu 001; Peng Gong 002 (Remote. Sens., 2018)

Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets. - Chunping Qiu; Michael Schmitt 003; Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (Remote. Sens., 2018)

HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing Imagery. - Qingpeng Li; Lichao Mou; Qingjie Liu 001; Yunhong Wang 001; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification. - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Corrections to "Deep Recurrent Neural Networks for Hyperspectral Image Classification". - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network. - Lichao Mou; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Skin Lesion Segmentation Based on Improved U-net. - Lina Liu; Lichao Mou; Xiao Xiang Zhu 001; Mrinal Mandal 001 (CCECE, 2019)

A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. - Lichao Mou; Yuansheng Hua; Xiao Xiang Zhu 001 (CVPR, 2019)

Label Relation Inference for Multi-Label Aerial Image Classification. - Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2019)

Spatial Relational Reasoning in Networks for Improving Semantic Segmentation of Aerial Images. - Lichao Mou; Yuansheng Hua; Xiao Xiang Zhu 001 (IGARSS, 2019)

Multi-label Aerial Image Classification using A Bidirectional Class-wise Attention Network. - Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (JURSE, 2019)

Large-scale Building Height Estimation from Single VHR SAR image Using Fully Convolutional Network and GIS building footprints. - Yao Sun 005; Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (JURSE, 2019)

Relation Network for Multi-label Aerial Image Classification. - Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2019)

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification. - Xiao Xiang Zhu 001; Jingliang Hu; Chunping Qiu; Yilei Shi; Jian Kang 005; Lichao Mou; Hossein Bagheri; Matthias Häberle; Yuansheng Hua; Rong Huang; Lloyd H. Hughes; Hao Li 019; et al. (CoRR, 2019)

R3-Net: A Deep Network for Multioriented Vehicle Detection in Aerial Images and Videos. - Qingpeng Li; Lichao Mou; Qizhi Xu; Yun Zhang 014; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery. - Lichao Mou; Lorenzo Bruzzone; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. - Di Hu 001; Xuhong Li 002; Lichao Mou; Pu Jin; Dong Chen; Liping Jing; Xiaoxiang Zhu 001; Dejing Dou (ECCV (24), 2020)

Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. - Yuansheng Hua; Sylvain Lobry; Lichao Mou; Devis Tuia; Xiao Xiang Zhu 001 (IGARSS, 2020)

Instance Segmentation of Buildings Using Keypoints. - Qingyu Li; Lichao Mou; Yuansheng Hua; Yao Sun 005; Pu Jin; Yilei Shi; Xiao Xiang Zhu 001 (IGARSS, 2020)

Event and Activity Recognition in Aerial Videos Using Deep Neural Networks and a New Dataset. - Lichao Mou; Yuansheng Hua; Pu Jin; Xiao Xiang Zhu 001 (IGARSS, 2020)

A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning. - Sudipan Saha; Lichao Mou; Chunping Qiu; Xiao Xiang Zhu 001; Francesca Bovolo; Lorenzo Bruzzone (IGARSS, 2020)

Dual Adversarial Network for Unsupervised Ground/Satellite-to-Aerial Scene Adaptation. - Jianzhe Lin; Lichao Mou; Tianze Yu; Xiaoxiang Zhu 001; Z. Jane Wang 001 (ACM Multimedia, 2020)

Automatic skin lesion classification based on mid-level feature learning. - Lina Liu; Lichao Mou; Xiao Xiang Zhu 001; Mrinal Mandal 001 (Comput. Medical Imaging Graph., 2020)

ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos. - Lichao Mou; Yuansheng Hua; Pu Jin; Xiao Xiang Zhu 001 (CoRR, 2020)

Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions. - Di Hu 001; Lichao Mou; Qingzhong Wang; Junyu Gao 001; Yuansheng Hua; Dejing Dou; Xiao Xiang Zhu 001 (CoRR, 2020)

Cross-Task Transfer for Multimodal Aerial Scene Recognition. - Di Hu 001; Xuhong Li 002; Lichao Mou; Pu Jin; Dong Chen; Liping Jing; Xiaoxiang Zhu 001; Dejing Dou (CoRR, 2020)

Deep Learning Meets SAR. - Xiao Xiang Zhu 001; Sina Montazeri; Mohsin Ali; Yuansheng Hua; Yuanyuan Wang 002; Lichao Mou; Yilei Shi; Feng Xu 001; Richard Bamler (CoRR, 2020)

Fusing Multiseasonal Sentinel-2 Imagery for Urban Land Cover Classification With Multibranch Residual Convolutional Neural Networks. - Chunping Qiu; Lichao Mou; Michael Schmitt 003; Xiao Xiang Zhu 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

Relation Network for Multilabel Aerial Image Classification. - Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images. - Lichao Mou; Yuansheng Hua; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification. - Lichao Mou; Xiaoqiang Lu; Xuelong Li 001; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification. - Lichao Mou; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images. - Sudipan Saha; Lichao Mou; Chunping Qiu; Xiao Xiang Zhu 001; Francesca Bovolo; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2020)

Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection. - Wenzhi Zhao; Lichao Mou; Jiage Chen; Yanchen Bo; William J. Emery (IEEE Trans. Geosci. Remote. Sens., 2020)

ERA Dataset. - Lichao Mou; Yuansheng Hua; Pu Jin; Xiao Xiang Zhu 001 (IEEE DataPort, 2020)

Mask-Height R-CNN: An End-to-End Network for 3D Building Reconstruction from Monocular Remote Sensing Imagery. - Sining Chen; Lichao Mou; Qingyu Li; Yao Sun 005; Xiao Xiang Zhu 001 (IGARSS, 2021)

Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection. - Konrad Heidler; Lichao Mou; Celia A. Baumhoer; Andreas J. Dietz; Xiao Xiang Zhu 001 (IGARSS, 2021)

Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels. - Konrad Heidler; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2021)

Unconstrained Aerial Scene Recognition with Deep Neural Networks and a New Dataset. - Yuansheng Hua; Lichao Mou; Pu Jin; Xiao Xiang Zhu 001 (IGARSS, 2021)

Temporal Relations Matter: A Two-Pathway Network for Aerial Video Recognition. - Pu Jin; Lichao Mou; Yuansheng Hua; Gui-Song Xia; Xiao Xiang Zhu 001 (IGARSS, 2021)

Anomaly Detection in Aerial Videos Via Future Frame Prediction Networks. - Pu Jin; Lichao Mou; Gui-Song Xia; Xiao Xiang Zhu 001 (IGARSS, 2021)

Improving Land Cover Classification with a Shift-Invariant Center-Focusing Convolutional Neural Network. - Cong Luo; Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2021)

Conditional GIS-Aware Network for Individual Building Segmentation in a VHR SAR Image. - Yao Sun 005; Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2021)

Self-Paced Curriculum Learning for Visual Question Answering on Remote Sensing Data. - Zhenghang Yuan; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2021)

Segmentation of VHR EO Images using Unsupervised Learning. - Sudipan Saha; Lichao Mou; Muhammad Shahzad 002; Xiao Xiang Zhu 001 (MACLEAN@PKDD/ECML, 2021)

MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images. - Yuansheng Hua; Lichao Mou; Pu Jin; Xiao Xiang Zhu 001 (CoRR, 2021)

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks. - Yuansheng Hua; Lichao Mou; Jianzhe Lin; Konrad Heidler; Xiao Xiang Zhu 001 (CoRR, 2021)

A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features. - Jun Li 087; Zhaocong Wu; Zhongwen Hu; Canliang Jian; Shaojie Luo; Lichao Mou; Xiao Xiang Zhu 001; Matthieu Molinier (CoRR, 2021)

Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks. - Yao Sun 005; Lichao Mou; Yuanyuan Wang 002; Sina Montazeri; Xiao Xiang Zhu 001 (CoRR, 2021)

Semisupervised Change Detection Using Graph Convolutional Network. - Sudipan Saha; Lichao Mou; Xiao Xiang Zhu 001; Francesca Bovolo; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2021)

Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image Classification. - Jianzhe Lin; Lichao Mou; Xiao Xiang Zhu 001; Xiangyang Ji; Z. Jane Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Unifying Top-Down Views by Task-Specific Domain Adaptation. - Jianzhe Lin; Tianze Yu; Lichao Mou; Xiaoxiang Zhu 001; Rabab Kreidieh Ward; Z. Jane Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

SoundingEarth Dataset. - Konrad Heidler; Pu Jin; Lichao Mou; Xiao Xiang Zhu 001 (Zenodo, 2021)

Bounding Box Regression Network for Building Height Retrieval Using a Single SAR Image. - Yao Sun 005; Lichao Mou; Yuanyuan Wang 002; Xiao Xiang Zhu 001 (IGARSS, 2022)

Self Supervised Learning for Few Shot Hyperspectral Image Classification. - Nassim Ait Ali Braham; Lichao Mou; Jocelyn Chanussot; Julien Mairal; Xiao Xiang Zhu 001 (IGARSS, 2022)

Deep Active Contour Models for Delineating Glacier Calving Fronts. - Konrad Heidler; Lichao Mou; Erik Loebel; Mirko Scheinert; Sébastien Lefèvre; Xiao Xiang Zhu 001 (IGARSS, 2022)

Change-Aware Visual Question Answering. - Zhenghang Yuan; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2022)

CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions. - Qingyu Li; Lichao Mou; Yuansheng Hua; Yilei Shi; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Self-supervised Learning in Remote Sensing: A Review. - Yi Wang 072; Conrad M. Albrecht; Nassim Ait Ali Braham; Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2022)

Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image Segmentation. - Christian Geiß; Yue Zhu 004; Chunping Qiu; Lichao Mou; Xiao Xiang Zhu 001; Hannes Taubenböck (IEEE Geosci. Remote. Sens. Lett., 2022)

Semantic Segmentation of Remote Sensing Images With Sparse Annotations. - Yuansheng Hua; Diego Marcos; Lichao Mou; Xiao Xiang Zhu 001; Devis Tuia (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Quadruple-Based Hashing for Remote Sensing Image-Sound Retrieval. - Yaxiong Chen; Shengwu Xiong 001; Lichao Mou; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. - Lei Ding 008; Haitao Guo; Sicong Liu 001; Lichao Mou; Jing Zhang 023; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2022)

HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline. - Konrad Heidler; Lichao Mou; Celia A. Baumhoer; Andreas J. Dietz; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

MultiScene: A Large-Scale Dataset and Benchmark for Multiscene Recognition in Single Aerial Images. - Yuansheng Hua; Lichao Mou; Pu Jin; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification. - Pu Jin; Lichao Mou; Yuansheng Hua; Gui-Song Xia; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Anomaly Detection in Aerial Videos With Transformers. - Pu Jin; Lichao Mou; Gui-Song Xia; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Building Footprint Generation Through Convolutional Neural Networks With Attraction Field Representation. - Qingyu Li; Lichao Mou; Yuansheng Hua; Yilei Shi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Lightweight Deep Learning-Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multiscale Spectral and Spatial Features. - Jun Li 087; Zhaocong Wu; Zhongwen Hu; Canliang Jian; Shaojie Luo; Lichao Mou; Xiao Xiang Zhu 001; Matthieu Molinier (IEEE Trans. Geosci. Remote. Sens., 2022)

Detecting Changes by Learning No Changes: Data-Enclosing-Ball Minimizing Autoencoders for One-Class Change Detection in Multispectral Imagery. - Lichao Mou; Yuansheng Hua; Sudipan Saha; Francesca Bovolo; Lorenzo Bruzzone; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. - Lichao Mou; Sudipan Saha; Yuansheng Hua; Francesca Bovolo; Lorenzo Bruzzone; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Single-Scene Semantic Segmentation for Earth Observation. - Sudipan Saha; Muhammad Shahzad 002; Lichao Mou; Qian Song; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

CG-Net: Conditional GIS-Aware Network for Individual Building Segmentation in VHR SAR Images. - Yao Sun 005; Yuansheng Hua; Lichao Mou; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning. - Xu Tang; Huayu Zhang; Lichao Mou; Fang Liu 034; Xiangrong Zhang; Xiao Xiang Zhu 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

SCIDA: Self-Correction Integrated Domain Adaptation From Single- to Multi-Label Aerial Images. - Tianze Yu; Jianzhe Lin; Lichao Mou; Yuansheng Hua; Xiaoxiang Zhu 001; Z. Jane Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

From Easy to Hard: Learning Language-Guided Curriculum for Visual Question Answering on Remote Sensing Data. - Zhenghang Yuan; Lichao Mou; Qi Wang 009; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Change Detection Meets Visual Question Answering. - Zhenghang Yuan; Lichao Mou; Zhitong Xiong; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation. - Runmin Dong; Lichao Mou; Mengxuan Chen; Weijia Li; Xin-Yi Tong 003; Shuai Yuan 005; Lixian Zhang; Juepeng Zheng; Xiao Xiang Zhu 001; Haohuan Fu (ICCV, 2023)

Amodal Segmentation Considering Visible and Non-Visible Elements of Urban Surfaces. - Osmar Luiz Ferreira de Carvalho; Anesmar Olino de Albuquerque; Osmar Abílio de Carvalho Júnior; Lichao Mou; Daniel Guerreiro E. Silva (IGARSS, 2023)

A Data-Centric Approach for Rapid Dataset Generation Using Iterative Learning and Sparse Annotations. - Osmar Luiz Ferreira de Carvalho; Anesmar Olino de Albuquerque; Argélica Saiaka Luiz; Pedro Henrique Guimarães Ferreira; Lichao Mou; Daniel Guerreiro e Silva; Osmar Abílio de Carvalho Júnior (IGARSS, 2023)

Roof Superstructure Detection from Aerial Imagery. - Qingyu Li; Sebastian Krapf; Lichao Mou; Yilei Shi; Xiao Xiang Zhu 001 (IGARSS, 2023)

Overcoming Language Bias in Remote Sensing Visual Question Answering Via Adversarial Training. - Zhenghang Yuan; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2023)

DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks. - Daixin Zhao; Konrad Heidler; Milad Asgarimehr; Caroline Arnold; Tianqi Xiao; Jens Wickert; Xiao Xiang Zhu 001; Lichao Mou (IGARSS, 2023)

Function Assignment of Plastics based on Hyperspectral Satellite Images and High-Resolution Data Using Deep Learning Algorithms. - Shanyu Zhou; Lichao Mou; Lixian Zhang; Yuansheng Hua; Hermann Kaufmann 001; Xiaoxiang Zhu 001 (IGARSS, 2023)

Semi-supervised segmentation of individual buildings from SAR imagery. - Qingyu Li; Yao Sun 005; Lichao Mou; Yilei Shi; Xiao Xiang Zhu 001 (JURSE, 2023)

Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images. - Zhenghang Yuan; Lichao Mou; Xiao Xiang Zhu 001 (JURSE, 2023)

An adaptive image fusion method for Sentinel-2 images and high-resolution images with long-time intervals. - Runmin Dong; Lixian Zhang; Weijia Li; Shuai Yuan 005; Lin Gan; Juepeng Zheng; Haohuan Fu; Lichao Mou; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data. - Zhitong Xiong; Sining Chen; Yi Wang 072; Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2023)

Deep Saliency Smoothing Hashing for Drone Image Retrieval. - Yaxiong Chen; Jinghao Huang; Lichao Mou; Pu Jin; Shengwu Xiong 001; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

A Deep Active Contour Model for Delineating Glacier Calving Fronts. - Konrad Heidler; Lichao Mou; Erik Loebel; Mirko Scheinert; Sébastien Lefèvre; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-supervised audiovisual representation learning for remote sensing data. - Konrad Heidler; Lichao Mou; Di Hu 001; Pu Jin; Guangyao Li; Chuang Gan 001; Ji-Rong Wen; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

3DCentripetalNet: Building height retrieval from monocular remote sensing imagery. - Qingyu Li; Lichao Mou; Yuansheng Hua; Yilei Shi; Sining Chen; Yao Sun 005; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Cross-city Landuse classification of remote sensing images via deep transfer learning. - Xiangyu Zhao 002; Jingliang Hu; Lichao Mou; Zhitong Xiong; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. - Tian Li 004; Konrad Heidler; Lichao Mou; Ádám Ignéczi; Xiao Xiang Zhu 001; Jonathan Bamber (Zenodo, 2023)

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. - Tian Li 004; Konrad Heidler; Lichao Mou; Ádám Ignéczi; Xiao Xiang Zhu 001; Jonathan Bamber (Zenodo, 2023)

Can we use deep learning models to identify the functionality of plastics from space? - Shanyu Zhou; Lichao Mou; Yuansheng Hua; Lixian Zhang; Hermann Kaufmann 001; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation. - Chenglong Zhang; Zhimin Zhang; Dexin Yu; Qiyuan Cheng; Shihao Shan; Mengjiao Li; Lichao Mou; Xiaoli Yang; Xiaopeng Ma (Comput. Methods Programs Biomed., 2023)

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. - Tian Li 004; Konrad Heidler; Lichao Mou; Ádám Ignéczi; Xiao Xiang Zhu 001; Jonathan Bamber (Zenodo, 2023)

Evaluating Feature Impact on Ocean Wind Speed Predictions: An Application of Explainable AI to GNSS Reflectometry Data. - Tianqi Xiao; Milad Asgarimehr; Jens Wickert; Daixin Zhao; Lichao Mou; Caroline Arnold (IGARSS, 2024)

Referring Image Segmentation for Remote Sensing Data. - Zhenghang Yuan; Lichao Mou; Yuansheng Hua; Xiao Xiang Zhu 001 (IGARSS, 2024)

UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation. - Yaxiong Chen; Chuang Du; Chunlei Li; Jingliang Hu; Yilei Shi; Shengwu Xiong 001; Xiao Xiang Zhu 001; Lichao Mou (MedAGI@MICCAI, 2024)

One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks. - Yaxiong Chen; Junjian Hu; Chunlei Li; Zixuan Zheng; Jingliang Hu; Yilei Shi; Shengwu Xiong 001; Xiao Xiang Zhu 001; Lichao Mou (AMAI@MICCAI, 2024)

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models. - Tingxiu Chen; Yilei Shi; Zixuan Zheng; Bingcong Yan; Jingliang Hu; Xiao Xiang Zhu 001; Lichao Mou (MICCAI (4), 2024)

CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention. - Yaxiong Chen; Minghong Wei; Zixuan Zheng; Jingliang Hu; Yilei Shi; Shengwu Xiong 001; Xiao Xiang Zhu 001; Lichao Mou (MICCAI (3), 2024)

Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-labeling for Semi-supervised Ultrasound Image Segmentation. - Yaxiong Chen; Yujie Wang; Zixuan Zheng; Jingliang Hu; Yilei Shi; Shengwu Xiong 001; Xiao Xiang Zhu 001; Lichao Mou (MICCAI (9), 2024)

Rethinking Cell Counting Methods: Decoupling Counting and Localization. - Zixuan Zheng; Yilei Shi; Chunlei Li; Jingliang Hu; Xiao Xiang Zhu 001; Lichao Mou (MICCAI (4), 2024)

Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning. - Zixuan Zheng; Yilei Shi; Chunlei Li; Jingliang Hu; Xiao Xiang Zhu 001; Lichao Mou (MICCAI (12), 2024)

ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models. - Zhenghang Yuan; Zhitong Xiong; Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2024)

Medical hyperspectral image classification based weakly supervised single-image global learning network. - Chenglong Zhang; Lichao Mou; Shihao Shan; Hao Zhang 113; Yafei Qi; Dexin Yu; Xiao Xiang Zhu 001; Nianzheng Sun; Xiangrong Zheng; Xiaopeng Ma (Eng. Appl. Artif. Intell., 2024)

Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification. - Nassim Ait Ali Braham; Julien Mairal; Jocelyn Chanussot; Lichao Mou; Xiao Xiang Zhu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Deep Learning in Spaceborne GNSS Reflectometry: Correcting Precipitation Effects on Wind Speed Products. - Tianqi Xiao; Caroline Arnold; Daixin Zhao; Lichao Mou; Jens Wickert; Milad Asgarimehr (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Integrating Detailed Features and Global Contexts for Semantic Segmentation in Ultrahigh-Resolution Remote Sensing Images. - Yaxiong Chen; Yujie Wang; Shengwu Xiong 001; Xiaoqiang Lu; Xiao Xiang Zhu 001; Lichao Mou (IEEE Trans. Geosci. Remote. Sens., 2024)

A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes. - Qingyu Li; Lichao Mou; Yao Sun 005; Yuansheng Hua; Yilei Shi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

RRSIS: Referring Remote Sensing Image Segmentation. - Zhenghang Yuan; Lichao Mou; Yuansheng Hua; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Real-Time Unsupervised Hyperspectral Band Selection via Spatial-Spectral Information Fusion-Based Downscaled Region. - Chenglong Zhang; Lichao Mou; Xiaoli Yang; Xiangrong Zheng; Xiao Xiang Zhu 001; Xiaopeng Ma (IEEE Trans. Geosci. Remote. Sens., 2024)

Co-Enhanced Global-Part Integration for Remote-Sensing Scene Classification. - Yichen Zhao; Yaxiong Chen; Shengwu Xiong 001; Xiaoqiang Lu; Xiao Xiang Zhu 001; Lichao Mou (IEEE Trans. Geosci. Remote. Sens., 2024)

Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression. - Jie Liu 044; Tiexin Qin; Hui Liu 036; Yilei Shi; Lichao Mou; Xiao Xiang Zhu 001; Shiqi Wang 001; Haoliang Li (CVPR, 2025)

Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection. - Chunlei Li; Yilei Shi; Jingliang Hu; Xiao Xiang Zhu 001; Lichao Mou (ICLR, 2025)

BANet: A bilateral attention network for extracting changed buildings between remote sensing imagery and cadastral maps. - Qingyu Li; Lichao Mou; Yilei Shi; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Multimodal GNSS-R self-supervised learning as a generalist Earth surface monitor. - Daixin Zhao; Konrad Heidler; Milad Asgarimehr; Conrad M. Albrecht; Jens Wickert; Xiao Xiang Zhu 001; Lichao Mou (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty. - Daixin Zhao; Milad Asgarimehr; Konrad Heidler; Jens Wickert; Xiao Xiang Zhu 001; Lichao Mou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Taming Stable Diffusion for Computed Tomography Blind Super-Resolution. - Chunlei Li; Yilei Shi; Haoxi Hu; Jingliang Hu; Xiao Xiang Zhu 001; Lichao Mou (CoRR, 2025)

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning. - Chunlei Li; Jingyang Hou; Yilei Shi; Jingliang Hu; Xiao Xiang Zhu 001; Lichao Mou (CoRR, 2025)