| 2026 | AAAI | ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling. | Yaxiong Chen, Qicong Wang, Chunlei Li, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou |
| 2026 | AAAI | GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolution. | Sirui Wang, Jiang He, Natlia Blasco Andreo, Xiao Xiang Zhu |
| 2025 | AAAI | MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification. | Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu |
| 2025 | CVPR | Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression. | Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li |
| 2025 | CVPR | Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation. | Leonard Waldmann, Ando Shah, Yi Wang, Nils Lehmann, Adam J. Stewart, Zhitong Xiong, Xiao Xiang Zhu, Stefan Bauer, John Chuang |
| 2025 | ICCV | On the Generalization of Representation Uncertainty in Earth Observation. | Spyros Kondylatos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis |
| 2025 | ICCV | Towards a Unified Copernicus Foundation Model for Earth Vision. | Yi Wang, Zhitong Xiong, Chenying Liu, Adam J. Stewart, Thomas Dujardin, Nikolaos-Ioannis Bountos, Angelos Zavras, Franziska Gerken, Ioannis Papoutsis, Laura Leal-Taix, Xiao Xiang Zhu |
| 2025 | ICLR | Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection. | Chunlei Li, Yilei Shi, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2025 | MICCAI | Taming Stable Diffusion for Computed Tomography Blind Super-Resolution. | Chunlei Li, Yilei Shi, Haoxi Hu, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2024 | CEC | Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model. | Fan Fan, Yilei Shi, Xiao Xiang Zhu |
| 2024 | CVPR | UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping. | Jie Zhao, Zhitong Xiong, Xiao Xiang Zhu |
| 2024 | ECCV | Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization. | Wei Huang, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu |
| 2024 | ECCV | Decoupling Common and Unique Representations for Multimodal Self-supervised Learning. | Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu |
| 2024 | IGARSS | Dominant Leaf Type Classification Using Sentinel-1 Time Series. | Qian Song, Ridvan Salih Kuzu, Xiao Xiang Zhu |
| 2024 | IGARSS | Multi-Label Guided Supervised Contrastive Learning for Earth Observation Pretraining. | Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu |
| 2024 | IGARSS | One for All: Toward Unified Foundation Models for Earth Vision. | Zhitong Xiong, Yi Wang, Fahong Zhang, Xiao Xiang Zhu |
| 2024 | IGARSS | Referring Image Segmentation for Remote Sensing Data. | Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu |
| 2024 | IGARSS | Deep-Learning-Based Large-Scale Forest Height Generation. | Qi Zhang, Yuanyuan Wang, Xiao Xiang Zhu |
| 2024 | IGARSS | Efficient Subseasonal Weather Forecast Using Teleconnection-Informed Transformers. | Shan Zhao, Zhitong Xiong, Xiao Xiang Zhu |
| 2024 | IGARSS | Towards Large-Scale Urban Flood Mapping Using Sentinel-1 Data. | Jie Zhao, Xiao Xiang Zhu |
| 2024 | IGARSS | Learning Building Energy Efficiency with Semantic Attributes. | Zhaiyu Chen, Ziqi Gu, Yilei Shi, Xiao Xiang Zhu |
| 2024 | IGARSS | Building Attributes Recognition with Noisy and Incomplete Labels. | Ziqi Gu, Zhaiyu Chen, Yilei Shi, Xiao Xiang Zhu |
| 2024 | IGARSS | Disentangling Semi-Supervised Semantic Segmentation of Remote Sensing Images. | Wei Huang, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu |
| 2024 | IGARSS | Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation. | Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu |
| 2024 | MICCAI | UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation. | Yaxiong Chen, Chuang Du, Chunlei Li, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | 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, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models. | Tingxiu Chen, Yilei Shi, Zixuan Zheng, Bingcong Yan, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | 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, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | 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, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | Rethinking Cell Counting Methods: Decoupling Counting and Localization. | Zixuan Zheng, Yilei Shi, Chunlei Li, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | 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, Lichao Mou |
| 2023 | CVPR | UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series. | Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu |
| 2023 | ICCV | 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, Shuai Yuan, Lixian Zhang, Juepeng Zheng, Xiao Xiang Zhu, Haohuan Fu |
| 2023 | IGARSS | High Spatial Resolution for Crop Yield Prediction in Large Farming Systems: A Necessity or Additional Overhead. | Stella Ofori-Ampofo, Ridvan Salih Kuzu, Xiao Xiang Zhu |
| 2023 | IGARSS | Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment | Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu |
| 2023 | IGARSS | 3d Point Cloud Simulation for Above-Ground Forest Biomass Estimation. | Qian Song, Yuanyuan Wang, Xiao Xiang Zhu |
| 2023 | IGARSS | A Dataset for Individual Tree Delineation from 3D Point Cloud data. | Qian Song, Xiao Xiang Zhu |
| 2023 | IGARSS | Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification. | Dawood Wasif, Yuanyuan Wang, Muhammad Shahzad, Rudolph Triebel, Xiao Xiang Zhu |
| 2023 | IGARSS | RSSOD-Bench: a Large-Scale Benchmark Dataset for Salient Object Detection in Optical Remote Sensing Imagery. | Zhitong Xiong, Yanfeng Liu, Qi Wang, Xiao Xiang Zhu |
| 2023 | IGARSS | DisasterNets: Embedding Machine Learning in Disaster Mapping. | Qingsong Xu, Yilei Shi, Xiao Xiang Zhu |
| 2023 | IGARSS | Overcoming Language Bias in Remote Sensing Visual Question Answering Via Adversarial Training. | Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu |
| 2023 | IGARSS | The Spatial-Temporal Role of Urban Green Space in Mitigating Land Surface Temperature in Chinese Megacities. | Yue Zeng, Qingsong Xu, Xiao Xiang Zhu |
| 2023 | IGARSS | 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, Lichao Mou |
| 2023 | IGARSS | Exploring Geometric Deep Learning for Precipitation Nowcasting. | Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu |
| 2023 | IGARSS | Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management. | Oleg Antropov, Matthieu Molinier, Ridvan Salih Kuzu, Lloyd H. Hughes, Marc Ruwurm, Devis Tuia, Corneliu Octavian Dumitru, Shaojia Ge, Sudipan Saha, Xiao Xiang Zhu |
| 2023 | IGARSS | An Analysis of the Gap Between Hybrid and Real Data for Volcanic Deformation Detection. | Teo Beker, Qian Song, Xiao Xiang Zhu |
| 2023 | IGARSS | Polyhedron-Based Graph Neural Network for Compact Building Model Reconstruction. | Zhaiyu Chen, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu |
| 2023 | IGARSS | Adaptive Bins for Monocular Height Estimation from Single Remote Sensing Images. | Sining Chen, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu |
| 2023 | IGARSS | Exploring Distance-Aware Uncertainty Quantification for Remote Sensing Image Classification. | Christoph Koller, Peter Jung, Xiao Xiang Zhu |
| 2023 | IGARSS | Roof Superstructure Detection from Aerial Imagery. | Qingyu Li, Sebastian Krapf, Lichao Mou, Yilei Shi, Xiao Xiang Zhu |
| 2022 | COLING | True or False? Detecting False Information on Social Media Using Graph Neural Networks. | Samyo Rode-Hasinger, Anna M. Kruspe, Xiao Xiang Zhu |
| 2022 | CVPR | Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model. | Codrut-Andrei Diaconu, Sudipan Saha, Stephan Gnnemann, Xiao Xiang Zhu |
| 2022 | CVPR | DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. | Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrs Camero, Jingliang Hu, Ariadna Pregel Hoderlein, aglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taix |
| 2022 | ECCV | Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation. | Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu |
| 2022 | IGARSS | Controlling Weather Field Synthesis Using Variational Autoencoders. | Drio A. B. Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu |
| 2022 | IGARSS | Compact Feature Representation for Unsupervised Ood Detection. | Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu |
| 2022 | IGARSS | Mitigating Distribution Shift for Multi-Sensor Classification. | Sudipan Saha, Shan Zhao, Muhammad Shahzad, Xiao Xiang Zhu |
| 2022 | IGARSS | Building Type Classification with Incomplete Labels. | Nikolai Skuppin, Eike Jens Hoffmann, Yilei Shi, Xiao Xiang Zhu |
| 2022 | IGARSS | Towards Global Forest Biomass Estimators from Tree Height Data. | Qian Song, Conrad M. Albrecht, Zhitong Xiong, Xiao Xiang Zhu |
| 2022 | IGARSS | Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning. | Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu |
| 2022 | IGARSS | Knowledge Transfer for Label-Efficient Monocular Height Estimation. | Zhitong Xiong, Xiao Xiang Zhu |
| 2022 | IGARSS | Change-Aware Visual Question Answering. | Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu |
| 2022 | IGARSS | Domain-Agnostic Domain Adaption for Building Footprint Extraction. | Fahong Zhang, Yilei Shi, Xiao Xiang Zhu |
| 2022 | IGARSS | Multi-Sensor Time Series Cloud Removal Fusing Optical and SAR Satellite Information. | Patrick Ebel, Yajin Xu, Michael Schmitt, Xiao Xiang Zhu |
| 2022 | IGARSS | Bounding Box Regression Network for Building Height Retrieval Using a Single SAR Image. | Yao Sun, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu |
| 2022 | IGARSS | Monitoring Urban Forests from Auto-Generated Segmentation MAPS. | Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu |
| 2022 | IGARSS | Explainability Analysis of CNN in Detection of Volcanic Deformation Signal. | Teo Beker, Homa Ansari, Sina Montazeri, Qian Song, Xiao Xiang Zhu |
| 2022 | IGARSS | Self Supervised Learning for Few Shot Hyperspectral Image Classification. | Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu |
| 2022 | IGARSS | Siamese Attention U-Net for Multi-Class Change Detection. | Sol Cummings, Lukas Kondmann, Xiao Xiang Zhu |
| 2022 | IGARSS | Earth Observation Data Classification with Quantum-Classical Convolutional Neural Network. | Fan Fan, Yilei Shi, Xiao Xiang Zhu |
| 2022 | IGARSS | Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. | Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu |
| 2022 | IGARSS | Analysing the Interactions Between Training Dataset Size, Label Noise and Model Performance in Remote Sensing Data. | Jonas Gtter, Julia Niebling, Xiao Xiang Zhu |
| 2022 | IGARSS | Deep Active Contour Models for Delineating Glacier Calving Fronts. | Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sbastien Lefvre, Xiao Xiang Zhu |
| 2022 | IGARSS | Comparative Analysis of Nitrogen Dioxide (NO2) Levels in Munich Using Sentinel-5P Atmospheric Products and Ground-Based Measurements. | Ariadna Pregel Hoderlein, Lukas Kondmann, Xiao Xiang Zhu |
| 2022 | IGARSS | Uncertainty-Guided Representation Learning in Local Climate Zone Classification. | Christoph Koller, Muhammad Shahrad, Xiao Xiang Zhu |
| 2022 | IGARSS | Feature and Output Consistency Training for Semi-Supervised Building Footprint Generation. | Qingyu Li, Yilei Shi, Xiao Xiang Zhu |
| 2021 | IGARSS | Mitigating Spatial and Spectral Differences for Change Detection Using Super-Resolution and Unsupervised Learning. | Jonathan Prexl, Sudipan Saha, Xiao Xiang Zhu |
| 2021 | IGARSS | Super-Resolving Sar Tomography Using Deep Learning. | Kun Qian, Yuanyuan Wang, Yilei Shi, Xiao Xiang Zhu |
| 2021 | IGARSS | Trusting Small Training Dataset for Supervised Change Detection. | Sudipan Saha, Biplab Banerjee, Xiao Xiang Zhu |
| 2021 | IGARSS | Generation of Large Scale 3-D City Models Using Insar and Optical Data. | Yilei Shi, Richard Bamler, Yuanyuan Wang, Xiao Xiang Zhu |
| 2021 | IGARSS | Conditional GIS-Aware Network for Individual Building Segmentation in a VHR SAR Image. | Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2021 | IGARSS | Efficient SAR Tomographic Inversion via Sparse Bayesian Learning. | Yuanyuan Wang, Kun Qian, Xiao Xiang Zhu |
| 2021 | IGARSS | Self-Paced Curriculum Learning for Visual Question Answering on Remote Sensing Data. | Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu |
| 2021 | IGARSS | Whats Next in AI4EO? | Xiao Xiang Zhu |
| 2021 | IGARSS | InSAR Displacement Time Series Mining: A Machine Learning Approach. | Homa Ansari, Marc Ruwurm, Mohsin Ali, Sina Montazeri, Alessandro Parizzi, Xiao Xiang Zhu |
| 2021 | IGARSS | 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, Xiao Xiang Zhu |
| 2021 | IGARSS | Internal Learning for Sequence-to-Sequence Cloud Removal via Synthetic Aperture Radar Prior Information. | Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu |
| 2021 | IGARSS | Towards Out-of-Distribution Detection for Remote Sensing. | Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu |
| 2021 | IGARSS | An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise. | Jonas Gtter, Anna M. Kruspe, Xiao Xiang Zhu |
| 2021 | IGARSS | 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 |
| 2021 | IGARSS | Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels. | Konrad Heidler, Lichao Mou, Xiao Xiang Zhu |
| 2021 | IGARSS | Zooming into Uncertainties: Towards Fusing Multi Zoom Level Imagery for Urban Land Use Segmentation. | Eike Jens Hoffmann, Mohsin Ali, Xiao Xiang Zhu |
| 2021 | IGARSS | An Overview of Multimodal Remote Sensing Data Fusion: From Image to Feature, From Shallow to Deep. | Danfeng Hong, Jocelyn Chanussot, Xiao Xiang Zhu |
| 2021 | IGARSS | Unconstrained Aerial Scene Recognition with Deep Neural Networks and a New Dataset. | Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu |
| 2021 | IGARSS | Temporal Relations Matter: A Two-Pathway Network for Aerial Video Recognition. | Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu |
| 2021 | IGARSS | Anomaly Detection in Aerial Videos Via Future Frame Prediction Networks. | Pu Jin, Lichao Mou, Gui-Song Xia, Xiao Xiang Zhu |
| 2021 | IGARSS | Blinded by the Light: Monitoring Local Economic Development Over Time With Nightlight Emissions. | Lukas Kondmann, Hannes Taubenbck, Xiao Xiang Zhu |
| 2021 | IGARSS | End-to-End Semantic Segmentation and Boundary Regularization of Buildings from Satellite Imagery. | Qingyu Li, Stefano Zorzi, Yilei Shi, Friedrich Fraundorfer, Xiao Xiang Zhu |
| 2021 | IGARSS | Improving Land Cover Classification with a Shift-Invariant Center-Focusing Convolutional Neural Network. | Cong Luo, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2020 | CVPR | FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds. | Saqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu |
| 2020 | ICPR | A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning. | Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu, Subhasis Chaudhuri |
| 2020 | IGARSS | Event and Activity Recognition in Aerial Videos Using Deep Neural Networks and a New Dataset. | Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu |
| 2020 | IGARSS | A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning. | Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone |
| 2020 | IGARSS | Building Extraction by Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding. | Yilei Shi, Qinyu Li, Xiao Xiang Zhu |
| 2020 | IGARSS | Vision-Based Scattering Key-Frame Extraction for VideoSAR Summarization. | Ying Zhang, Lichao Mau, Daiyin Zhu, Xiao Xiang Zhu |
| 2020 | IGARSS | Cloud Removal in Unpaired Sentinel-2 Imagery Using Cycle-Consistent GAN and SAR-Optical Data Fusion. | Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu |
| 2020 | IGARSS | Unsupervised Hyperspectral Embedding by Learning a Deep Regression Network. | Danfeng Hong, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu |
| 2020 | IGARSS | 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 |
| 2020 | IGARSS | Instance Segmentation of Buildings Using Keypoints. | Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu |
| 2019 | CVPR | A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. | Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu |
| 2019 | IGARSS | Mitigation of Positioning Bias in PSI Point Clouds. | Sina Montazeri, Fernando Rodrguez Gonzlez, Xiao Xiang Zhu |
| 2019 | IGARSS | Spatial Relational Reasoning in Networks for Improving Semantic Segmentation of Aerial Images. | Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu |
| 2019 | IGARSS | Fusing Multi-Seasonal Sentinel-2 Images with Residual Convolutional Neural Networks for Local Climate Zone-Derived Urban Land Cover Classification. | Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu |
| 2019 | IGARSS | Non-Local SAR Tomography for Large-Scale Urban Mapping. | Yilei Shi, Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler |
| 2019 | IGARSS | Automatic Registration of SAR Image and GIS Building Footprints Data in Dense Urban Area. | Yao Sun, Yuanyuan Wang, Xiao Xiang Zhu |
| 2019 | IGARSS | The Challenge of Creating The Sarptical Dataset. | Yuanyuan Wang, Xiao Xiang Zhu |
| 2019 | IGARSS | Building Type Classification from Social Media Texts via Geo-Spatial Textmining. | Matthias Hberle, Martin Werner, Xiao Xiang Zhu |
| 2019 | IGARSS | Mutual Information Analysis of Social Media Images and Building Functions. | Eike Jens Hoffmann, Martin Werner, Xiao Xiang Zhu |
| 2019 | IGARSS | WU-Net: A Weakly-Supervised Unmixing Network for Remotely Sensed Hyperspectral Imagery. | Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Uta Heiden, Wieke Heldens, Xiao Xiang Zhu |
| 2019 | IGARSS | Label Relation Inference for Multi-Label Aerial Image Classification. | Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2019 | IGARSS | A Topological Data Analysis Guided Fusion Algorithm: Mapper-Regularized Manifold Alignment. | Jingliang Hu, Danfeng Hong, Yuanyuan Wang, Xiao Xiang Zhu |
| 2018 | FUSION | Fusing Spaceborne SAR Interferometry and Street View Images for 4D Urban Modeling. | Yuanyuan Wang, Jian Kang, Xiao Xiang Zhu |
| 2018 | IGARSS | A Recurrent Convolutional Neural Network for Land Cover Change Detection in Multispectral Images. | Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. | Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Extraction of Buildings in VHR SAR Images Using Fully Convolution Neural Networks. | Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer, Yuanyuan Wang, Xiao Xiang Zhu |
| 2018 | IGARSS | SAR Tomography Using Non-Local Sparse Reconstruction. | Yilei Shi, Xiao Xiang Zhu, Richard Bamler |
| 2018 | IGARSS | The SARptical Dataset for Joint Analysis of SAR and Optical Image in Dense Urban Area. | Yuanyuan Wang, Xiao Xiang Zhu |
| 2018 | IGARSS | Multi-Pass SAR Interferometry for 3D Reconstruction of Complex Mountainous Areas Based on Robust Low Rank Tensor Decomposition. | Jian Kang, Yuanyuan Wang, Xiao Xiang Zhu |
| 2018 | IGARSS | Urban TanDEM-X Raw DEM Fusion Based ON TV-L1 and Huber Models. | Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu |
| 2018 | IGARSS | LAHNet: A Convolutional Neural Network Fusing Low- and High-Level Features for Aerial Scene Classification. | Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Classification of Settlement Types from Tweets Using LDA and LSTM. | Rong Huang, Hannes Taubenbck, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Generative Adversarial Networks for Hard Negative Mining in CNN-Based SAR-Optical Image Matching. | Lloyd H. Hughes, Michael Schmitt, Xiao Xiang Zhu |
| 2018 | IGARSS | Exploring Sentinel-L Data for Local Climate Zone Classification. | Jingliang Hu, Xiao Xiang Zhu |
| 2018 | IGARSS | Hierarchical Region Based Convolution Neural Network for Multiscale Object Detection in Remote Sensing Images. | Qingpeng Li, Lichao Mou, Kaiyu Jiang, Qingjie Liu, Yunhong Wang, Xiao Xiang Zhu |
| 2017 | CVPR | Earth Observation Using SAR and Social Media Images. | Yuanyuan Wang, Xiao Xiang Zhu |
| 2017 | ICIP | Learning a low-coherence dictionary to address spectral variability for hyperspectral unmixing. | Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu |
| 2017 | IGARSS | Automatic positioning of SAR ground control points from multi-aspect TerraSAR-X acquisitions. | Sina Montazeri, Christoph Gisinger, Xiao Xiang Zhu, Michael Eineder, Richard Bamler |
| 2017 | IGARSS | Identifying corresponding patches in SAR and optical imagery with a convolutional neural network. | Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu |
| 2017 | IGARSS | Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning. | Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu |
| 2017 | IGARSS | Comparative evaluation of signal-based and descriptor-based similarity measures for SAR-optical image matching. | Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu |
| 2017 | IGARSS | Robust blind scatterer separation in multibaseline InSAR. | Yuanyuan Wang, Xiao Xiang Zhu |
| 2017 | IGARSS | Fusion of SAR and optical remote sensing data - Challenges and recent trends. | Michael Schmitt, Florence Tupin, Xiao Xiang Zhu |
| 2017 | IGARSS | Fusion of TanDEM-X and Cartosat-1 DEMS using TV-norm regularization and ANN-predicted weights. | Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu |
| 2017 | IGARSS | Nonlocal InSAR filtering for high resolution DEM generation from TanDEM-X interferograms. | Gerald Baier, Cristian Rossi, Marie Lachaise, Xiao Xiang Zhu, Richard Bamler |
| 2017 | IGARSS | Feature fusion of hyperspectral and lidar data using extinction profiles and total variation. | Pedram Ghamisi, Behnood Rasti, Xiao Xiang Zhu |
| 2017 | IGARSS | Evaluation of polsar similarity measures with spectral clustering. | Jingliang Hu, Yuanyuan Wang, Pedram Ghamisi, Xiao Xiang Zhu |
| 2017 | IGARSS | Improve multi-baseline InSAR parameter retrieval by semantic information from optical images. | Jian Kang, Yuanyuan Wang, Marco Krner, Xiao Xiang Zhu |
| 2016 | IGARSS | SAR ground control point identification with the aid of high resolution optical data. | Sina Montazeri, Xiao Xiang Zhu, Ulrich Balss, Christoph Gisinger, Yuanyuan Wang, Michael Eineder, Richard Bamler |
| 2016 | IGARSS | Spatiotemporal scene interpretation of space videos via deep neural network and tracklet analysis. | Lichao Mou, Xiao Xiang Zhu |
| 2016 | IGARSS | Robust multibaseline InSAR optimization. | Yuanyuan Wang, Xiao Xiang Zhu |
| 2016 | IGARSS | Extinction profiles: A novel approach for the analysis of remote sensing data. | Pedram Ghamisi, Roberto Souza, Letcia Rittner, Jn Atli Benediktsson, Roberto A. Lotufo, Xiao Xiang Zhu |
| 2016 | IGARSS | Local manifold learning with robust neighbors selection for hyperspectral dimensionality reduction. | Danfeng Hong, Naoto Yokoya, Xiao Xiang Zhu |
| 2016 | IGARSS | Object-based InSAR deformation reconstruction with application to bridge monitoring. | Jian Kang, Yuanyuan Wang, Marco Krner, Xiao Xiang Zhu |