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)

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)

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)

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)

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)

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)

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)

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

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Deep Learning for Aerial Scene Understanding in High Resolution Remote Sensing Imagery from the Lab to the Wild. - Yuansheng Hua (2022)

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)

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)

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)

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