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Books and Theses
- 2022
[b1]Yuansheng Hua:
Deep Learning for Aerial Scene Understanding in High Resolution Remote Sensing Imagery from the Lab to the Wild. Technical University of Munich, Germany, 2022
Journal Articles
- 2024
- [j15]Qingyu Li, Lichao Mou, Yao Sun
, Yuansheng Hua, Yilei Shi, Xiaoxiang Zhu:
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j14]Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu:
RRSIS: Referring Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - 2023
- [j13]Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Sining Chen, Yao Sun, Xiao Xiang Zhu:
3DCentripetalNet: Building height retrieval from monocular remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 120: 103311 (2023) - [j12]Shanyu Zhou, Lichao Mou, Yuansheng Hua, Lixian Zhang, Hermann Kaufmann, Xiao Xiang Zhu:
Can we use deep learning models to identify the functionality of plastics from space? Int. J. Appl. Earth Obs. Geoinformation 123: 103491 (2023) - 2022
- [j11]Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Xiao Xiang Zhu:
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions. Int. J. Appl. Earth Obs. Geoinformation 111: 102824 (2022) - [j10]Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images With Sparse Annotations. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j9]Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu:
MultiScene: A Large-Scale Dataset and Benchmark for Multiscene Recognition in Single Aerial Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j8]Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu:
FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j7]Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Xiao Xiang Zhu:
Building Footprint Generation Through Convolutional Neural Networks With Attraction Field Representation. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j6]Lichao Mou, Yuansheng Hua, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Detecting Changes by Learning No Changes: Data-Enclosing-Ball Minimizing Autoencoders for One-Class Change Detection in Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j5]Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j4]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
CG-Net: Conditional GIS-Aware Network for Individual Building Segmentation in VHR SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j3]Tianze Yu, Jianzhe Lin, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu, Z. Jane Wang:
SCIDA: Self-Correction Integrated Domain Adaptation From Single- to Multi-Label Aerial Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2020
- [j2]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Relation Network for Multilabel Aerial Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(7): 4558-4572 (2020) - [j1]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images. IEEE Trans. Geosci. Remote. Sens. 58(11): 7557-7569 (2020)
Conference and Workshop Papers
- 2024
- [c15]Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
Referring Image Segmentation for Remote Sensing Data. IGARSS 2024: 946-949 - 2023
- [c14]Shanyu Zhou, Lichao Mou, Lixian Zhang, Yuansheng Hua, Hermann Kaufmann, Xiaoxiang Zhu:
Function Assignment of Plastics based on Hyperspectral Satellite Images and High-Resolution Data Using Deep Learning Algorithms. IGARSS 2023: 7257-7260 - 2021
- [c13]Cong Luo, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Improving Land Cover Classification with a Shift-Invariant Center-Focusing Convolutional Neural Network. IGARSS 2021: 2863-2866 - [c12]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Conditional GIS-Aware Network for Individual Building Segmentation in a VHR SAR Image. IGARSS 2021: 4532-4535 - [c11]Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu:
Unconstrained Aerial Scene Recognition with Deep Neural Networks and a New Dataset. IGARSS 2021: 4948-4951 - [c10]Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu:
Temporal Relations Matter: A Two-Pathway Network for Aerial Video Recognition. IGARSS 2021: 8221-8224 - 2020
- [c9]Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu:
Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. IGARSS 2020: 525-528 - [c8]Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu:
Event and Activity Recognition in Aerial Videos Using Deep Neural Networks and a New Dataset. IGARSS 2020: 952-955 - [c7]Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu:
Instance Segmentation of Buildings Using Keypoints. IGARSS 2020: 1452-1455 - 2019
- [c6]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. CVPR 2019: 12416-12425 - [c5]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
Spatial Relational Reasoning in Networks for Improving Semantic Segmentation of Aerial Images. IGARSS 2019: 5232-5235 - [c4]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Label Relation Inference for Multi-Label Aerial Image Classification. IGARSS 2019: 5244-5247 - [c3]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Multi-label Aerial Image Classification using A Bidirectional Class-wise Attention Network. JURSE 2019: 1-4 - [c2]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Large-scale Building Height Estimation from Single VHR SAR image Using Fully Convolutional Network and GIS building footprints. JURSE 2019: 1-4 - 2018
- [c1]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
LAHNet: A Convolutional Neural Network Fusing Low- and High-Level Features for Aerial Scene Classification. IGARSS 2018: 4728-4731
Data and Artifacts
- 2020
- [d1]Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu:
ERA Dataset. IEEE DataPort, 2020
Informal and Other Publications
- 2023
- [i16]Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
RRSIS: Referring Remote Sensing Image Segmentation. CoRR abs/2306.08625 (2023) - 2022
- [i15]Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu:
FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification. CoRR abs/2209.11316 (2022) - 2021
- [i14]Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images with Sparse Annotations. CoRR abs/2101.03492 (2021) - [i13]Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. CoRR abs/2103.08741 (2021) - [i12]Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu:
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images. CoRR abs/2104.02846 (2021) - [i11]Yuansheng Hua, Lichao Mou, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu:
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks. CoRR abs/2104.11200 (2021) - [i10]Tianze Yu, Jianzhe Lin, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu, Z. Jane Wang:
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images. CoRR abs/2108.06810 (2021) - 2020
- [i9]Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu:
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos. CoRR abs/2001.11394 (2020) - [i8]Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu:
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions. CoRR abs/2005.07097 (2020) - [i7]Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu:
Instance segmentation of buildings using keypoints. CoRR abs/2006.03858 (2020) - [i6]Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali, Yuansheng Hua, Yuanyuan Wang, Lichao Mou, Yilei Shi, Feng Xu, Richard Bamler:
Deep Learning Meets SAR. CoRR abs/2006.10027 (2020) - [i5]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images. CoRR abs/2011.08362 (2020) - 2019
- [i4]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. CoRR abs/1904.05730 (2019) - [i3]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Relation Network for Multi-label Aerial Image Classification. CoRR abs/1907.07274 (2019) - [i2]Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd H. Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang:
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification. CoRR abs/1912.12171 (2019) - 2018
- [i1]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification. CoRR abs/1807.11245 (2018)
Coauthor Index
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