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2020 – today
- 2024
- [j61]Chenglong Zhang, Lichao Mou, Shihao Shan, Hao Zhang, Yafei Qi, Dexin Yu, Xiao Xiang Zhu, Nianzheng Sun, Xiangrong Zheng, Xiaopeng Ma:
Medical hyperspectral image classification based weakly supervised single-image global learning network. Eng. Appl. Artif. Intell. 133: 108042 (2024) - [j60]Nassim Ait Ali Braham, Julien Mairal, Jocelyn Chanussot, Lichao Mou, Xiaoxiang Zhu:
Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8509-8526 (2024) - [j59]Tianqi Xiao, Caroline Arnold, Daixin Zhao, Lichao Mou, Jens Wickert, Milad Asgarimehr:
Deep Learning in Spaceborne GNSS Reflectometry: Correcting Precipitation Effects on Wind Speed Products. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17860-17875 (2024) - [j58]Yaxiong Chen, Yujie Wang, Shengwu Xiong, Xiaoqiang Lu, Xiaoxiang Zhu, Lichao Mou:
Integrating Detailed Features and Global Contexts for Semantic Segmentation in Ultrahigh-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j57]Qingyu Li, Lichao Mou, Yao Sun, Yuansheng Hua, Yilei Shi, Xiaoxiang Zhu:
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j56]Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu:
RRSIS: Referring Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j55]Yichen Zhao, Yaxiong Chen, Shengwu Xiong, Xiaoqiang Lu, Xiaoxiang Zhu, Lichao Mou:
Co-Enhanced Global-Part Integration for Remote-Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c54]Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
Referring Image Segmentation for Remote Sensing Data. IGARSS 2024: 946-949 - [c53]Tianqi Xiao, Milad Asgarimehr, Jens Wickert, Daixin Zhao, Lichao Mou, Caroline Arnold:
Evaluating Feature Impact on Ocean Wind Speed Predictions: An Application of Explainable AI to GNSS Reflectometry Data. IGARSS 2024: 1854-1858 - [c52]Yaxiong Chen, Minghong Wei, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiaoxiang Zhu, Lichao Mou:
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention. MICCAI (3) 2024: 77-87 - [c51]Yaxiong Chen, Chuang Du, Chunlei Li, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiaoxiang Zhu, Lichao Mou:
UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation. MedAGI@MICCAI 2024: 113-123 - [c50]Zixuan Zheng, Yilei Shi, Chunlei Li, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou:
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning. MICCAI (12) 2024: 272-282 - [c49]Zixuan Zheng, Yilei Shi, Chunlei Li, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou:
Rethinking Cell Counting Methods: Decoupling Counting and Localization. MICCAI (4) 2024: 418-426 - [c48]Yaxiong Chen, Yujie Wang, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiaoxiang Zhu, Lichao Mou:
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-labeling for Semi-supervised Ultrasound Image Segmentation. MICCAI (9) 2024: 604-614 - [c47]Tingxiu Chen, Yilei Shi, Zixuan Zheng, Bingcong Yan, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou:
Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models. MICCAI (4) 2024: 764-774 - [i40]Zhenghang Yuan, Zhitong Xiong, Lichao Mou, Xiao Xiang Zhu:
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models. CoRR abs/2402.11325 (2024) - 2023
- [j54]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised audiovisual representation learning for remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 116: 103130 (2023) - [j53]Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Sining Chen, Yao Sun, Xiao Xiang Zhu:
3DCentripetalNet: Building height retrieval from monocular remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 120: 103311 (2023) - [j52]Runmin Dong, Lixian Zhang, Weijia Li, Shuai Yuan, Lin Gan, Juepeng Zheng, Haohuan Fu, Lichao Mou, Xiao Xiang Zhu:
An adaptive image fusion method for Sentinel-2 images and high-resolution images with long-time intervals. Int. J. Appl. Earth Obs. Geoinformation 121: 103381 (2023) - [j51]Xiangyu Zhao, Jingliang Hu, Lichao Mou, Zhitong Xiong, Xiao Xiang Zhu:
Cross-city Landuse classification of remote sensing images via deep transfer learning. Int. J. Appl. Earth Obs. Geoinformation 122: 103358 (2023) - [j50]Shanyu Zhou, Lichao Mou, Yuansheng Hua, Lixian Zhang, Hermann Kaufmann, Xiao Xiang Zhu:
Can we use deep learning models to identify the functionality of plastics from space? Int. J. Appl. Earth Obs. Geoinformation 123: 103491 (2023) - [j49]Chenglong Zhang, Zhimin Zhang, Dexin Yu, Qiyuan Cheng, Shihao Shan, Mengjiao Li, Lichao Mou, Xiaoli Yang, Xiaopeng Ma:
Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation. Comput. Methods Programs Biomed. 240: 107721 (2023) - [j48]Yaxiong Chen, Jinghao Huang, Lichao Mou, Pu Jin, Shengwu Xiong, Xiao Xiang Zhu:
Deep Saliency Smoothing Hashing for Drone Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j47]Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu:
A Deep Active Contour Model for Delineating Glacier Calving Fronts. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c46]Runmin Dong, Lichao Mou, Mengxuan Chen, Weijia Li, Xin-Yi Tong, Shuai Yuan, Lixian Zhang, Juepeng Zheng, Xiao Xiang Zhu, Haohuan Fu:
Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation. ICCV 2023: 16737-16747 - [c45]Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Caroline Arnold, Tianqi Xiao, Jens Wickert, Xiao Xiang Zhu, Lichao Mou:
DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks. IGARSS 2023: 1182-1185 - [c44]Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu:
Overcoming Language Bias in Remote Sensing Visual Question Answering Via Adversarial Training. IGARSS 2023: 2235-2238 - [c43]Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Argélica Saiaka Luiz, Pedro Henrique Guimarães Ferreira, Lichao Mou, Daniel Guerreiro e Silva, Osmar Abílio de Carvalho Júnior:
A Data-Centric Approach for Rapid Dataset Generation Using Iterative Learning and Sparse Annotations. IGARSS 2023: 5650-5653 - [c42]Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Osmar Abílio de Carvalho Júnior, Lichao Mou, Daniel Guerreiro E. Silva:
Amodal Segmentation Considering Visible and Non-Visible Elements of Urban Surfaces. IGARSS 2023: 5676-5679 - [c41]Qingyu Li, Sebastian Krapf, Lichao Mou, Yilei Shi, Xiao Xiang Zhu:
Roof Superstructure Detection from Aerial Imagery. IGARSS 2023: 6855-6858 - [c40]Shanyu Zhou, Lichao Mou, Lixian Zhang, Yuansheng Hua, Hermann Kaufmann, Xiaoxiang Zhu:
Function Assignment of Plastics based on Hyperspectral Satellite Images and High-Resolution Data Using Deep Learning Algorithms. IGARSS 2023: 7257-7260 - [c39]Qingyu Li, Yao Sun, Lichao Mou, Yilei Shi, Xiao Xiang Zhu:
Semi-supervised segmentation of individual buildings from SAR imagery. JURSE 2023: 1-4 - [c38]Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu:
Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images. JURSE 2023: 1-4 - [d5]Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, Jonathan Bamber:
Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. Version 1. Zenodo, 2023 [all versions] - [d4]Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, Jonathan Bamber:
Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. Version 2. Zenodo, 2023 [all versions] - [d3]Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, Jonathan Bamber:
Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. Version 3. Zenodo, 2023 [all versions] - [i39]Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu:
Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images. CoRR abs/2304.03844 (2023) - [i38]Zhitong Xiong, Sining Chen, Yi Wang, Lichao Mou, Xiao Xiang Zhu:
GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data. CoRR abs/2305.14914 (2023) - [i37]Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu:
Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training. CoRR abs/2306.00483 (2023) - [i36]Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
RRSIS: Referring Remote Sensing Image Segmentation. CoRR abs/2306.08625 (2023) - [i35]Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu:
A Deep Active Contour Model for Delineating Glacier Calving Fronts. CoRR abs/2307.03461 (2023) - 2022
- [j46]Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Xiao Xiang Zhu:
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions. Int. J. Appl. Earth Obs. Geoinformation 111: 102824 (2022) - [j45]Christian Geiß, Yue Zhu, Chunping Qiu, Lichao Mou, Xiao Xiang Zhu, Hannes Taubenböck:
Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j44]Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images With Sparse Annotations. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j43]Yaxiong Chen, Shengwu Xiong, Lichao Mou, Xiao Xiang Zhu:
Deep Quadruple-Based Hashing for Remote Sensing Image-Sound Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j42]Lei Ding, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone:
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j41]Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu:
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j40]Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu:
MultiScene: A Large-Scale Dataset and Benchmark for Multiscene Recognition in Single Aerial Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j39]Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu:
FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j38]Pu Jin, Lichao Mou, Gui-Song Xia, Xiao Xiang Zhu:
Anomaly Detection in Aerial Videos With Transformers. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j37]Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Xiao Xiang Zhu:
Building Footprint Generation Through Convolutional Neural Networks With Attraction Field Representation. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j36]Jun Li, Zhaocong Wu, Zhongwen Hu, Canliang Jian, Shaojie Luo, Lichao Mou, Xiao Xiang Zhu, Matthieu Molinier:
A Lightweight Deep Learning-Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multiscale Spectral and Spatial Features. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j35]Lichao Mou, Yuansheng Hua, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Detecting Changes by Learning No Changes: Data-Enclosing-Ball Minimizing Autoencoders for One-Class Change Detection in Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j34]Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j33]Sudipan Saha, Muhammad Shahzad, Lichao Mou, Qian Song, Xiao Xiang Zhu:
Unsupervised Single-Scene Semantic Segmentation for Earth Observation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j32]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
CG-Net: Conditional GIS-Aware Network for Individual Building Segmentation in VHR SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j31]Xu Tang, Huayu Zhang, Lichao Mou, Fang Liu, Xiangrong Zhang, Xiao Xiang Zhu, Licheng Jiao:
An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j30]Tianze Yu, Jianzhe Lin, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu, Z. Jane Wang:
SCIDA: Self-Correction Integrated Domain Adaptation From Single- to Multi-Label Aerial Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j29]Zhenghang Yuan, Lichao Mou, Qi Wang, Xiao Xiang Zhu:
From Easy to Hard: Learning Language-Guided Curriculum for Visual Question Answering on Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j28]Zhenghang Yuan, Lichao Mou, Zhitong Xiong, Xiao Xiang Zhu:
Change Detection Meets Visual Question Answering. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c37]Yao Sun, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu:
Bounding Box Regression Network for Building Height Retrieval Using a Single SAR Image. IGARSS 2022: 56-59 - [c36]Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu:
Change-Aware Visual Question Answering. IGARSS 2022: 227-230 - [c35]Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu:
Self Supervised Learning for Few Shot Hyperspectral Image Classification. IGARSS 2022: 267-270 - [c34]Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu:
Deep Active Contour Models for Delineating Glacier Calving Fronts. IGARSS 2022: 4490-4493 - [i34]Zhenghang Yuan, Lichao Mou, Qi Wang, Xiao Xiang Zhu:
From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data. CoRR abs/2205.03147 (2022) - [i33]Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu:
Self Supervised Learning for Few Shot Hyperspectral Image Classification. CoRR abs/2206.12117 (2022) - [i32]Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu:
Self-supervised Learning in Remote Sensing: A Review. CoRR abs/2206.13188 (2022) - [i31]Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu:
FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification. CoRR abs/2209.11316 (2022) - [i30]Pu Jin, Lichao Mou, Gui-Song Xia, Xiao Xiang Zhu:
Anomaly Detection in Aerial Videos with Transformers. CoRR abs/2209.13363 (2022) - 2021
- [j27]Sudipan Saha, Lichao Mou, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone:
Semisupervised Change Detection Using Graph Convolutional Network. IEEE Geosci. Remote. Sens. Lett. 18(4): 607-611 (2021) - [j26]Jianzhe Lin, Tianze Yu, Lichao Mou, Xiaoxiang Zhu, Rabab Kreidieh Ward, Z. Jane Wang:
Unifying Top-Down Views by Task-Specific Domain Adaptation. IEEE Trans. Geosci. Remote. Sens. 59(6): 4689-4702 (2021) - [j25]Jianzhe Lin, Lichao Mou, Xiao Xiang Zhu, Xiangyang Ji, Z. Jane Wang:
Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(9): 7790-7802 (2021) - [c33]Sining Chen, Lichao Mou, Qingyu Li, Yao Sun, Xiao Xiang Zhu:
Mask-Height R-CNN: An End-to-End Network for 3D Building Reconstruction from Monocular Remote Sensing Imagery. IGARSS 2021: 1202-1205 - [c32]Cong Luo, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Improving Land Cover Classification with a Shift-Invariant Center-Focusing Convolutional Neural Network. IGARSS 2021: 2863-2866 - [c31]Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu:
Self-Paced Curriculum Learning for Visual Question Answering on Remote Sensing Data. IGARSS 2021: 2999-3002 - [c30]Konrad Heidler, Lichao Mou, Xiao Xiang Zhu:
Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels. IGARSS 2021: 3033-3036 - [c29]Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu:
Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection. IGARSS 2021: 3037-3040 - [c28]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Conditional GIS-Aware Network for Individual Building Segmentation in a VHR SAR Image. IGARSS 2021: 4532-4535 - [c27]Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu:
Unconstrained Aerial Scene Recognition with Deep Neural Networks and a New Dataset. IGARSS 2021: 4948-4951 - [c26]Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu:
Temporal Relations Matter: A Two-Pathway Network for Aerial Video Recognition. IGARSS 2021: 8221-8224 - [c25]Pu Jin, Lichao Mou, Gui-Song Xia, Xiao Xiang Zhu:
Anomaly Detection in Aerial Videos Via Future Frame Prediction Networks. IGARSS 2021: 8237-8240 - [c24]Sudipan Saha, Lichao Mou, Muhammad Shahzad, Xiao Xiang Zhu:
Segmentation of VHR EO Images using Unsupervised Learning. MACLEAN@PKDD/ECML 2021 - [d2]Konrad Heidler, Pu Jin, Lichao Mou, Xiao Xiang Zhu:
SoundingEarth Dataset. Zenodo, 2021 - [i29]Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images with Sparse Annotations. CoRR abs/2101.03492 (2021) - [i28]Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu:
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline. CoRR abs/2103.01849 (2021) - [i27]Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. CoRR abs/2103.08741 (2021) - [i26]Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu:
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images. CoRR abs/2104.02846 (2021) - [i25]Yuansheng Hua, Lichao Mou, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu:
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks. CoRR abs/2104.11200 (2021) - [i24]Jun Li, Zhaocong Wu, Zhongwen Hu, Canliang Jian, Shaojie Luo, Lichao Mou, Xiao Xiang Zhu, Matthieu Molinier:
A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features. CoRR abs/2105.00967 (2021) - [i23]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised Audiovisual Representation Learning for Remote Sensing Data. CoRR abs/2108.00688 (2021) - [i22]Sudipan Saha, Lichao Mou, Muhammad Shahzad, Xiao Xiang Zhu:
Segmentation of VHR EO Images using Unsupervised Learning. CoRR abs/2108.04222 (2021) - [i21]Lei Ding, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone:
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. CoRR abs/2108.06103 (2021) - [i20]Tianze Yu, Jianzhe Lin, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu, Z. Jane Wang:
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images. CoRR abs/2108.06810 (2021) - [i19]Yao Sun, Lichao Mou, Yuanyuan Wang, Sina Montazeri, Xiao Xiang Zhu:
Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks. CoRR abs/2111.09460 (2021) - [i18]Zhenghang Yuan, Lichao Mou, Zhitong Xiong, Xiaoxiang Zhu:
Change Detection Meets Visual Question Answering. CoRR abs/2112.06343 (2021) - 2020
- [j24]Lina Liu, Lichao Mou, Xiao Xiang Zhu, Mrinal Mandal:
Automatic skin lesion classification based on mid-level feature learning. Comput. Medical Imaging Graph. 84: 101765 (2020) - [j23]Chunping Qiu, Lichao Mou, Michael Schmitt, Xiao Xiang Zhu:
Fusing Multiseasonal Sentinel-2 Imagery for Urban Land Cover Classification With Multibranch Residual Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 17(10): 1787-1791 (2020) - [j22]Lichao Mou, Xiao Xiang Zhu:
Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(1): 110-122 (2020) - [j21]Wenzhi Zhao, Lichao Mou, Jiage Chen, Yanchen Bo, William J. Emery:
Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection. IEEE Trans. Geosci. Remote. Sens. 58(4): 2720-2731 (2020) - [j20]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Relation Network for Multilabel Aerial Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(7): 4558-4572 (2020) - [j19]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images. IEEE Trans. Geosci. Remote. Sens. 58(11): 7557-7569 (2020) - [j18]Lichao Mou, Xiaoqiang Lu, Xuelong Li, Xiao Xiang Zhu:
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(12): 8246-8257 (2020) - [j17]Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images. IEEE Trans. Geosci. Remote. Sens. 58(12): 8780-8792 (2020) - [c23]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. ECCV (24) 2020: 68-84 - [c22]Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu:
Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. IGARSS 2020: 525-528 - [c21]Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone:
A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning. IGARSS 2020: 688-691 - [c20]Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu:
Event and Activity Recognition in Aerial Videos Using Deep Neural Networks and a New Dataset. IGARSS 2020: 952-955 - [c19]Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu:
Instance Segmentation of Buildings Using Keypoints. IGARSS 2020: 1452-1455 - [c18]Jianzhe Lin, Lichao Mou, Tianze Yu, Xiaoxiang Zhu, Z. Jane Wang:
Dual Adversarial Network for Unsupervised Ground/Satellite-to-Aerial Scene Adaptation. ACM Multimedia 2020: 10-18 - [d1]Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu:
ERA Dataset. IEEE DataPort, 2020 - [i17]Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu:
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos. CoRR abs/2001.11394 (2020) - [i16]Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu:
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions. CoRR abs/2005.07097 (2020) - [i15]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Multimodal Aerial Scene Recognition. CoRR abs/2005.08449 (2020) - [i14]Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu:
Instance segmentation of buildings using keypoints. CoRR abs/2006.03858 (2020) - [i13]Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali, Yuansheng Hua, Yuanyuan Wang, Lichao Mou, Yilei Shi, Feng Xu, Richard Bamler:
Deep Learning Meets SAR. CoRR abs/2006.10027 (2020) - [i12]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images. CoRR abs/2011.08362 (2020)
2010 – 2019
- 2019
- [j16]Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu:
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57(2): 924-935 (2019) - [j15]Qingpeng Li, Lichao Mou, Qizhi Xu, Yun Zhang, Xiao Xiang Zhu:
R3-Net: A Deep Network for Multioriented Vehicle Detection in Aerial Images and Videos. IEEE Trans. Geosci. Remote. Sens. 57(7): 5028-5042 (2019) - [c17]Lina Liu, Lichao Mou, Xiao Xiang Zhu, Mrinal Mandal:
Skin Lesion Segmentation Based on Improved U-net. CCECE 2019: 1-4 - [c16]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. CVPR 2019: 12416-12425 - [c15]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
Spatial Relational Reasoning in Networks for Improving Semantic Segmentation of Aerial Images. IGARSS 2019: 5232-5235 - [c14]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Label Relation Inference for Multi-Label Aerial Image Classification. IGARSS 2019: 5244-5247 - [c13]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Multi-label Aerial Image Classification using A Bidirectional Class-wise Attention Network. JURSE 2019: 1-4 - [c12]Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Large-scale Building Height Estimation from Single VHR SAR image Using Fully Convolutional Network and GIS building footprints. JURSE 2019: 1-4 - [i11]Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. CoRR abs/1904.05730 (2019) - [i10]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Relation Network for Multi-label Aerial Image Classification. CoRR abs/1907.07274 (2019) - [i9]Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd H. Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang:
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification. CoRR abs/1912.12171 (2019) - 2018
- [j14]Lloyd H. Hughes, Michael Schmitt, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu:
Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN. IEEE Geosci. Remote. Sens. Lett. 15(5): 784-788 (2018) - [j13]Haobo Lyu, Hui Lu, Lichao Mou, Wenyu Li, Jonathon S. Wright, Xuecao Li, Xinlu Li, Xiao Xiang Zhu, Jie Wang, Le Yu, Peng Gong:
Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data. Remote. Sens. 10(3): 471 (2018) - [j12]Chunping Qiu, Michael Schmitt, Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets. Remote. Sens. 10(10): 1572 (2018) - [j11]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 391-406 (2018) - [j10]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Corrections to "Deep Recurrent Neural Networks for Hyperspectral Image Classification". IEEE Trans. Geosci. Remote. Sens. 56(2): 1214-1215 (2018) - [j9]Lichao Mou, Xiao Xiang Zhu:
Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 56(11): 6699-6711 (2018) - [j8]Qingpeng Li, Lichao Mou, Qingjie Liu, Yunhong Wang, Xiao Xiang Zhu:
HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 56(12): 7147-7161 (2018) - [c11]Qingpeng Li, Lichao Mou, Kaiyu Jiang, Qingjie Liu, Yunhong Wang, Xiao Xiang Zhu:
Hierarchical Region Based Convolution Neural Network for Multiscale Object Detection in Remote Sensing Images. IGARSS 2018: 4355-4358 - [c10]Lichao Mou, Xiao Xiang Zhu:
A Recurrent Convolutional Neural Network for Land Cover Change Detection in Multispectral Images. IGARSS 2018: 4363-4366 - [c9]Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Lichao Mou, Xiao Xiang Zhu:
Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. IGARSS 2018: 4681-4684 - [c8]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
LAHNet: A Convolutional Neural Network Fusing Low- and High-Level Features for Aerial Scene Classification. IGARSS 2018: 4728-4731 - [c7]Rong Huang, Hannes Taubenböck, Lichao Mou, Xiao Xiang Zhu:
Classification of Settlement Types from Tweets Using LDA and LSTM. IGARSS 2018: 6408-6411 - [i8]Lloyd H. Hughes, Michael Schmitt, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu:
Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN. CoRR abs/1801.08467 (2018) - [i7]Lichao Mou, Xiao Xiang Zhu:
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network. CoRR abs/1802.10249 (2018) - [i6]Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu:
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery. CoRR abs/1803.02642 (2018) - [i5]Lichao Mou, Xiao Xiang Zhu:
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images. CoRR abs/1805.02091 (2018) - [i4]Lichao Mou, Xiao Xiang Zhu:
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network. CoRR abs/1805.10485 (2018) - [i3]Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification. CoRR abs/1807.11245 (2018) - [i2]Qingpeng Li, Lichao Mou, Qizhi Xu, Yun Zhang, Xiao Xiang Zhu:
R3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos. CoRR abs/1808.05560 (2018) - 2017
- [j7]Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia:
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3435-3447 (2017) - [j6]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Deep Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(7): 3639-3655 (2017) - [c6]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning. IGARSS 2017: 5181-5184 - [c5]Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu:
Identifying corresponding patches in SAR and optical imagery with a convolutional neural network. IGARSS 2017: 5482-5485 - [c4]Jingliang Hu, Lichao Mou, Andreas Schmitt, Xiao Xiang Zhu:
FusioNet: A two-stream convolutional neural network for urban scene classification using PolSAR and hyperspectral data. JURSE 2017: 1-4 - [c3]Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu:
A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes. JURSE 2017: 1-4 - [i1]Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, Friedrich Fraundorfer:
Deep learning in remote sensing: a review. CoRR abs/1710.03959 (2017) - 2016
- [j5]Xuelong Li, Lichao Mou, Xiaoqiang Lu:
Video parsing via spatiotemporally analysis with images. Multim. Tools Appl. 75(19): 11961-11976 (2016) - [j4]Haobo Lyu, Hui Lu, Lichao Mou:
Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection. Remote. Sens. 8(6): 506 (2016) - [c2]Lichao Mou, Xiao Xiang Zhu:
Spatiotemporal scene interpretation of space videos via deep neural network and tracklet analysis. IGARSS 2016: 1823-1826 - 2015
- [j3]Xuelong Li, Lichao Mou, Xiaoqiang Lu:
Scene Parsing From an MAP Perspective. IEEE Trans. Cybern. 45(9): 1876-1886 (2015) - [j2]Xiaoqiang Lu, Xuelong Li, Lichao Mou:
Semi-Supervised Multitask Learning for Scene Recognition. IEEE Trans. Cybern. 45(9): 1967-1976 (2015) - [j1]Yuan Yuan, Lichao Mou, Xiaoqiang Lu:
Scene Recognition by Manifold Regularized Deep Learning Architecture. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2222-2233 (2015) - 2013
- [c1]Lichao Mou, Xiaoqiang Lu, Yuan Yuan:
Object or background: Whose call is it in complicated scene classification? ChinaSIP 2013: 543-546
Coauthor Index
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