Yuansheng Hua
Yuansheng Hua
Signal Processing in Earth Observation, Technical University of Munich (TUM) & Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR)
確認したメール アドレス: dlr.de
タイトル
引用先
引用先
Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification
Y Hua, L Mou, XX Zhu
ISPRS journal of photogrammetry and remote sensing 149, 188-199, 2019
612019
A relation-augmented fully convolutional network for semantic segmentation in aerial scenes
L Mou, Y Hua, XX Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
582019
Relation network for multilabel aerial image classification
Y Hua, L Mou, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4558-4572, 2020
242020
So2Sat LCZ42: A benchmark dataset for global local climate zones classification
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ...
arXiv preprint arXiv:1912.12171, 2019
232019
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images
L Mou, Y Hua, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 58 (11), 7557-7569, 2020
122020
Deep learning meets SAR
XX Zhu, S Montazeri, M Ali, Y Hua, Y Wang, L Mou, Y Shi, F Xu, R Bamler
arXiv preprint arXiv:2006.10027, 2020
72020
Era: A dataset and deep learning benchmark for event recognition in aerial videos
L Mou, Y Hua, P Jin, XX Zhu
arXiv preprint arXiv:2001.11394, 2020
62020
So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Haberle, Y Hua, ...
IEEE Geoscience and Remote Sensing Magazine 8 (3), 76-89, 2020
52020
LAHNet: A convolutional neural network fusing low-and high-level features for aerial scene classification
Y Hua, L Mou, XX Zhu
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
52018
Label relation inference for multi-label aerial image classification
Y Hua, L Mou, XX Zhu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
42019
Spatial relational reasoning in networks for improving semantic segmentation of aerial images
L Mou, Y Hua, XX Zhu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
42019
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
D Hu, L Mou, Q Wang, J Gao, Y Hua, D Dou, XX Zhu
arXiv preprint arXiv:2005.07097, 2020
32020
CG-Net: Conditional GIS-Aware Network for Individual Building Segmentation in VHR SAR Images
Y Sun, Y Hua, L Mou, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing, 2021
22021
Learning multi-label aerial image classification under label noise: a regularization approach using word embeddings
Y Hua, S Lobry, LC Mou, D Tuia, XX Zhu
22020
Large-scale building height estimation from single VHR SAR image using fully convolutional network and GIS building footprints
Y Sun, Y Hua, L Mou, XX Zhu
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
22019
Deep reinforcement learning for band selection in hyperspectral image classification
L Mou, S Saha, Y Hua, F Bovolo, L Bruzzone, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing, 2021
12021
Deep learning meets SAR: concepts, models, pitfalls, and perspectives
X Zhu, S Montazeri, M Ali, Y Hua, Y Wang, L Mou, Y Shi, F Xu, R Bamler
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2021
12021
Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Y Hua, D Marcos, L Mou, XX Zhu, D Tuia
arXiv preprint arXiv:2101.03492, 2021
12021
Instance segmentation of buildings using keypoints
Q Li, L Mou, Y Hua, Y Sun, P Jin, Y Shi, XX Zhu
arXiv preprint arXiv:2006.03858, 2020
12020
Multi-label Aerial Image Classification using A Bidirectional Class-wise Attention Network
Y Hua, L Mou, XX Zhu
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
12019
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