Chenying Liu

34 papers B 2C 8Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification.
CoRR
Chenying Liu, Gianmarco Perantoni, Lorenzo Bruzzone, Xiao Xiang Zhu
2025 J jnl
CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2025 J jnl
Hierarchical Semi-Supervised Active Learning for Remote Sensing.
CoRR
Wei Huang, Zhitong Xiong, Chenying Liu, Xiao Xiang Zhu
2025 J jnl
LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping.
CoRR
Chenying Liu, Wei Huang, Xiao Xiang Zhu
2025 J jnl
Towards a Unified Copernicus Foundation Model for Earth Vision.
CoRR
Yi Wang, Zhitong Xiong, Chenying Liu, Adam J. Stewart, Thomas Dujardin, Nikolaos-Ioannis Bountos, Angelos Zavras, Franziska Gerken, Ioannis Papoutsis, Laura Leal-Taixé, Xiao Xiang Zhu
2024 J jnl
AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu
2024 J jnl
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation.
CoRR
Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu
2024 C conf
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing.
IGARSS
Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht
2024 J jnl
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing.
CoRR
Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht
2024 J jnl
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
CoRR
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2024 — conf
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.
ECCV (29)
Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
2024 C conf
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation.
IGARSS
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2024 J jnl
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation.
CoRR
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2023 J jnl
DeCUR: decoupling common & unique representations for multimodal self-supervision.
CoRR
Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
2023 J jnl
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection.
CoRR
Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht
2023 C conf
DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCE
IGARSS
Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht
2023 J jnl
DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience.
CoRR
Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht
2022 B conf
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection.
IEEE Big Data
Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht
2022 C conf
Monitoring Urban Forests from Auto-Generated Segmentation MAPS.
IGARSS
Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu
2022 J jnl
Monitoring Urban Forests from Auto-Generated Segmentation Maps.
CoRR
Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu
2022 B conf
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels.
IEEE Big Data
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2022 J jnl
Phase-Induced Gabor-Based Multiview Active Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Runlin Cai, Chenying Liu, Jun Li
2022 J jnl
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.
CoRR
Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu
2021 C conf
Integrated Gabor-Based Decision Fusion for Hyperspectral Image Classification.
IGARSS
Runlin Cai, Chenying Liu, Jun Li
2021 J jnl
Naive Gabor Networks for Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Chenying Liu, Jun Li, Lin He, Antonio Plaza, Shutao Li, Bo Li
2021 J jnl
Semisupervised Discriminative Random Field for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Bingkun Liang, Chenying Liu, Jun Li, Antonio Plaza, José M. Bioucas-Dias
2020 J jnl
Hyperspectral Image Spectral-Spatial-Range Gabor Filtering.
IEEE Trans. Geosci. Remote. Sens.
Lin He, Chenying Liu, Jun Li, Yuanqing Li, Shutao Li, Zhuliang Yu
2019 C conf
A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks.
IGARSS
Yunfei Li, Chenying Liu, Lin Yan, Jun Li, Antonio Plaza, Bo Li
2019 C conf
Accessibility-Free Active Learning for Hyperspectral Image Classification.
IGARSS
Chenying Liu, Jun Li, Mercedes Eugenia Paoletti, Juan Mario Haut, Antonio Plaza, Qian Shi
2019 J jnl
Naive Gabor Networks.
CoRR
Chenying Liu, Jun Li, Lin He, Antonio J. Plaza, Shutao Li, Bo Li
2019 J jnl
Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Chenying Liu, Jun Li, Lin He
2018 J jnl
Feature-Driven Active Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Chenying Liu, Lin He, Zhetao Li, Jun Li
2018 J jnl
Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines.
IEEE Trans. Geosci. Remote. Sens.
Lin He, Jun Li, Chenying Liu, Shutao Li
2016 C conf
Gabor-based active learning for hyperspectral image classification.
IGARSS
Jie Hu, Chenying Liu, Lin He, Jun Li