Yonghao Xu

54 papers A* 2C 4Journal 41Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
DisasterInsight: A Multimodal Benchmark for Function-Aware and Grounded Disaster Assessment.
CoRR
Sara Tehrani, Yonghao Xu, Leif Haglund, Amanda Berg, Michael Felsberg
2026 J jnl
Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion.
CoRR
Yonghao Xu, Pedram Ghamisi, Qihao Weng
2025 — conf
Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data.
SCIA (2)
Justus Karlsson, Yonghao Xu, Amanda Berg, Leif Haglund
2025 J jnl
Comparing Satellite Data for Next-Day Wildfire Predictability.
CoRR
Justus Karlsson, Yonghao Xu, Amanda Berg, Leif Haglund
2025 J jnl
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing.
CoRR
Tao Bai, Xingjian Tian, Yonghao Xu, Bihan Wen
2025 J jnl
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens.
Tao Bai, Xingjian Tian, Yonghao Xu, Bihan Wen
2025 J jnl
VLM2GeoVec: Toward Universal Multimodal Embeddings for Remote Sensing.
CoRR
Emanuel Sánchez Aimar, Gulnaz Zhambulova, Fahad Shahbaz Khan, Yonghao Xu, Michael Felsberg
2024 — conf
Flexible Distribution Alignment: Towards Long-Tailed Semi-supervised Learning with Proper Calibration.
ECCV (54)
Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg
2024 J jnl
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data.
CoRR
Yonghao Xu, Pedram Ghamisi, Yannis Avrithis
2024 J jnl
Robust Self-Ensembling Network for Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yonghao Xu, Bo Du, Liangpei Zhang
2024 C conf
SEN2FIRE: A Challenging Benchmark Dataset for Wildfire Detection Using Sentinel Data.
IGARSS
Yonghao Xu, Amanda Berg, Leif Haglund
2024 J jnl
Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data.
CoRR
Yonghao Xu, Amanda Berg, Leif Haglund
2024 J jnl
Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens.
Tao Bai, Yiming Cao, Yonghao Xu, Bihan Wen
2024 J jnl
S³ANet: Spatial-Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yichu Xu, Yonghao Xu, Hongzan Jiao, Zhi Gao, Lefei Zhang
2024 J jnl
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models.
Int. J. Appl. Earth Obs. Geoinformation
Weikang Yu, Yonghao Xu, Pedram Ghamisi
2023 J jnl
Backdoor Attacks for Remote Sensing Data With Wavelet Transform.
IEEE Trans. Geosci. Remote. Sens.
Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi
2023 J jnl
Can Spectral Information Work While Extracting Spatial Distribution? - An Online Spectral Information Compensation Network for HSI Classification.
IEEE Trans. Image Process.
Jiaqi Yang, Bo Du, Yonghao Xu, Liangpei Zhang
2023 J jnl
Self-Ensembling GAN for Cross-Domain Semantic Segmentation.
IEEE Trans. Multim.
Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang
2023 — conf
Semi-supervised Classification for Remote Sensing Datasets.
ICIAP (1)
Itza Hernandez-Sequeira, Rubén Fernández-Beltran, Yonghao Xu, Pedram Ghamisi, Filiberto Pla
2023 J jnl
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation.
CoRR
Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch
2023 J jnl
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks.
IEEE Trans. Image Process.
Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter
2023 J jnl
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models.
CoRR
Weikang Yu, Yonghao Xu, Pedram Ghamisi
2022 J jnl
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends.
CoRR
Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi
2022 J jnl
Backdoor Attacks for Remote Sensing Data with Wavelet Transform.
CoRR
Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi
2022 J jnl
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations.
IEEE Trans. Image Process.
Yonghao Xu, Pedram Ghamisi
2022 J jnl
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations.
CoRR
Yonghao Xu, Pedram Ghamisi
2022 J jnl
Fine-Grained Classification of Urban Functional Zones and Landscape Pattern Analysis Using Hyperspectral Satellite Imagery: A Case Study of Wuhan.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jingwen Yuan, Shugen Wang, Chen Wu, Yonghao Xu
2022 J jnl
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.
CoRR
Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
2022 J jnl
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.
IEEE Trans. Geosci. Remote. Sens.
Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
2022 — conf
Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification.
CDCEO@IJCAI
Yonghao Xu, Weikang Yu, Pedram Ghamisi
2022 — conf
The Landslide4Sense Competition 2022.
CDCEO@IJCAI
Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter
2022 J jnl
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi
2022 J jnl
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery.
CoRR
Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi
2022 J jnl
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks.
CoRR
Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter
2022 J jnl
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark.
CoRR
Yonghao Xu, Pedram Ghamisi
2022 J jnl
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark.
IEEE Trans. Geosci. Remote. Sens.
Yonghao Xu, Pedram Ghamisi
2021 J jnl
Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Di Wang, Bo Du, Liangpei Zhang, Yonghao Xu
2021 J jnl
Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses.
IEEE Trans. Geosci. Remote. Sens.
Yonghao Xu, Bo Du, Liangpei Zhang
2021 — conf
Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision.
CIKM Workshops
Yonghao Xu, Pedram Ghamisi
2021 J jnl
Robust Self-Ensembling Network for Hyperspectral Image Classification.
CoRR
Yonghao Xu, Bo Du, Liangpei Zhang
2021 J jnl
Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification.
IEEE Trans. Image Process.
Yonghao Xu, Bo Du, Liangpei Zhang
2021 J jnl
Self-Ensembling GAN for Cross-Domain Semantic Segmentation.
CoRR
Yonghao Xu, Fengxiang He, Bo Du, Liangpei Zhang, Dacheng Tao
2021 J jnl
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer.
CoRR
Hongruixuan Chen, Chen Wu, Yonghao Xu, Bo Du
2020 J jnl
Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification.
IEEE Trans. Big Data
Yonghao Xu, Bo Du, Liangpei Zhang
2020 J jnl
Learning From Synthetic Images via Active Pseudo-Labeling.
IEEE Trans. Image Process.
Liangchen Song, Yonghao Xu, Lefei Zhang, Bo Du, Qian Zhang, Xinggang Wang
2019 J jnl
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yonghao Xu, Bo Du, Liangpei Zhang, Daniele Cerra, Miguel Pato, Emiliano Carmona, Saurabh Prasad, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux
2019 A* conf
Fast Spatio-Temporal Residual Network for Video Super-Resolution.
CVPR
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
2019 J jnl
Fast Spatio-Temporal Residual Network for Video Super-Resolution.
CoRR
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
2019 A* conf
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation.
AAAI
Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang
2019 C conf
Simultaneous Segmentation and Edge Detection for Hyperspectral Image Via a Deep Supervised and boundary-constrained Network.
IGARSS
Yonghao Xu, Bo Du, Liangpei Zhang
2018 C conf
Can We Generate Good Samples for Hyperspectral Classification? - A Generative Adversarial Network Based Method.
IGARSS
Yonghao Xu, Bo Du, Liangpei Zhang
2018 C conf
Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing.
IGARSS
Yonghao Xu, Bo Du, Liangpei Zhang
2018 J jnl
Spectral-Spatial Unified Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yonghao Xu, Liangpei Zhang, Bo Du, Fan Zhang
2017 — conf
A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification.
CCCV (2)
Yonghao Xu, Bo Du, Liangpei Zhang, Fan Zhang