Chenying Liu

According to our database, Chenying Liu authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiaoxiang Zhu

IEEE Trans. Geosci. Remote. Sens., 2024

CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiaoxiang Zhu

CoRR, 2024

AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing.

Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht

Proceedings of the IGARSS 2024, 2024

Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu

Proceedings of the IGARSS 2024, 2024

2023

DeCUR: decoupling common & unique representations for multimodal self-supervision.

Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu

CoRR, 2023

DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience.

Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht

CoRR, 2023

DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCE^CRediT.

Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Phase-Induced Gabor-Based Multiview Active Learning for Hyperspectral Image Classification.

Runlin Cai, Chenying Liu, Jun Li

IEEE Geosci. Remote. Sens. Lett., 2022

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.

Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu

CoRR, 2022

Monitoring Urban Forests from Auto-Generated Segmentation MAPS.

Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection.

Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht

Proceedings of the IEEE International Conference on Big Data, 2022

Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Naive Gabor Networks for Hyperspectral Image Classification.

Chenying Liu, Jun Li, Lin He, Antonio Plaza, Shutao Li, Bo Li

IEEE Trans. Neural Networks Learn. Syst., 2021

Semisupervised Discriminative Random Field for Hyperspectral Image Classification.

Bingkun Liang, Chenying Liu, Jun Li, Antonio Plaza, José M. Bioucas-Dias

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Integrated Gabor-Based Decision Fusion for Hyperspectral Image Classification.

Runlin Cai, Chenying Liu, Jun Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Hyperspectral Image Spectral-Spatial-Range Gabor Filtering.

Lin He, Chenying Liu, Jun Li, Yuanqing Li, Shutao Li, Zhuliang Yu

IEEE Trans. Geosci. Remote. Sens., 2020

2019

Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification.

Chenying Liu, Jun Li, Lin He

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Naive Gabor Networks.

Chenying Liu, Jun Li, Lin He, Antonio J. Plaza, Shutao Li, Bo Li

CoRR, 2019

Accessibility-Free Active Learning for Hyperspectral Image Classification.

Chenying Liu, Jun Li, Mercedes Eugenia Paoletti, Juan Mario Haut, Antonio Plaza, Qian Shi

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks.

Yunfei Li, Chenying Liu, Lin Yan, Jun Li, Antonio Plaza, Bo Li

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Feature-Driven Active Learning for Hyperspectral Image Classification.

Chenying Liu, Lin He, Zhetao Li, Jun Li

IEEE Trans. Geosci. Remote. Sens., 2018

Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines.

Lin He, Jun Li, Chenying Liu, Shutao Li

IEEE Trans. Geosci. Remote. Sens., 2018

2016

Gabor-based active learning for hyperspectral image classification.

Jie Hu, Chenying Liu, Lin He, Jun Li

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016