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ORCIDChenying Liu 0001
Person information
- affiliation: Technical University of Munich, Data Science in Earth Observation, Germany
- affiliation: German Aerospace Center, Remote Sensing Technology Institute, Munich, Germany
- affiliation (former): Sun Yat-sen University, School of Geography and Planning, Guangzhou, China
Other persons with the same name
- Chenying Liu 0002
![[0000-0002-6946-727X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6946-727X")
— University of Oxford, Robotics Institute, UK (and 1 more)
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Journal Articles
- 2024
[j8]Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiaoxiang Zhu:
AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024)- 2022
- [j7]Runlin Cai, Chenying Liu, Jun Li:
Phase-Induced Gabor-Based Multiview Active Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j6]Bingkun Liang, Chenying Liu, Jun Li, Antonio Plaza, José M. Bioucas-Dias:
Semisupervised Discriminative Random Field for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12403-12414 (2021) - [j5]Chenying Liu, Jun Li, Lin He, Antonio Plaza, Shutao Li, Bo Li:
Naive Gabor Networks for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(1): 376-390 (2021) - 2020
- [j4]Lin He, Chenying Liu, Jun Li, Yuanqing Li, Shutao Li, Zhuliang Yu:
Hyperspectral Image Spectral-Spatial-Range Gabor Filtering. IEEE Trans. Geosci. Remote. Sens. 58(7): 4818-4836 (2020) - 2019
- [j3]Chenying Liu, Jun Li, Lin He:
Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 357-370 (2019) - 2018
- [j2]Chenying Liu, Lin He, Zhetao Li, Jun Li:
Feature-Driven Active Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 341-354 (2018) - [j1]Lin He, Jun Li, Chenying Liu, Shutao Li:
Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines. IEEE Trans. Geosci. Remote. Sens. 56(3): 1579-1597 (2018)
Conference and Workshop Papers
- 2023
- [c8]Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht:
DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCECRediT. IGARSS 2023: 3616-3619 - 2022
- [c7]Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu:
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels. IEEE Big Data 2022: 4842-4847 - [c6]Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht:
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection. IEEE Big Data 2022: 4888-4892 - [c5]Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu:
Monitoring Urban Forests from Auto-Generated Segmentation MAPS. IGARSS 2022: 5977-5980 - 2021
- [c4]Runlin Cai, Chenying Liu, Jun Li:
Integrated Gabor-Based Decision Fusion for Hyperspectral Image Classification. IGARSS 2021: 3221-3224 - 2019
- [c3]Chenying Liu, Jun Li, Mercedes Eugenia Paoletti, Juan Mario Haut, Antonio Plaza, Qian Shi:
Accessibility-Free Active Learning for Hyperspectral Image Classification. IGARSS 2019: 409-412 - [c2]Yunfei Li, Chenying Liu, Lin Yan, Jun Li, Antonio Plaza, Bo Li:
A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks. IGARSS 2019: 835-838 - 2016
- [c1]Jie Hu, Chenying Liu, Lin He, Jun Li:
Gabor-based active learning for hyperspectral image classification. IGARSS 2016: 2457-2460
Informal and Other Publications
- 2024
- [i10]Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu:
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation. CoRR abs/2402.16164 (2024) - [i9]Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu:
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation. CoRR abs/2403.01641 (2024) - [i8]Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiaoxiang Zhu:
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation. CoRR abs/2405.01217 (2024) - [i7]Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht:
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing. CoRR abs/2405.13993 (2024) - 2023
- [i6]Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht:
DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience. CoRR abs/2306.06269 (2023) - [i5]Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht:
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection. CoRR abs/2308.02225 (2023) - [i4]Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu:
DeCUR: decoupling common & unique representations for multimodal self-supervision. CoRR abs/2309.05300 (2023) - 2022
- [i3]Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu:
Monitoring Urban Forests from Auto-Generated Segmentation Maps. CoRR abs/2206.06948 (2022) - [i2]Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu:
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation. CoRR abs/2211.07044 (2022) - 2019
- [i1]Chenying Liu, Jun Li, Lin He, Antonio J. Plaza, Shutao Li, Bo Li:
Naive Gabor Networks. CoRR abs/1912.03991 (2019)
Coauthor Index
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