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ORCIDChao Tao 0001
Person information
- affiliation: Central South University, School of Geosciences and Info-Physics, Changsha, China
Other persons with the same name
- Chao Tao — disambiguation page
- Chao Tao 0002
![[0000-0003-4496-9510]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4496-9510")
— Shanghai University, School of Computer Engineering and Science, China - Chao Tao 0003 — Indiana University, Computer Science Department, Bloomington, USA
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Journal Articles
- 2024
[j33]Hao Wang, Mingning Guo, Shaoxian Li, Haifeng Li, Chao Tao:
Global-Local Coupled Style Transfer for Semantic Segmentation of Bitemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)- 2023
- [j32]Chengli Peng, Haifeng Li, Chao Tao, Yansheng Li, Jiayi Ma:
MSINet: Mining scale information from digital surface models for semantic segmentation of aerial images. Pattern Recognit. 143: 109785 (2023) - [j31]Zhaoyang Zhang, Wenxuan Jing, Haifeng Li, Chao Tao, Yunsheng Zhang:
GFCNet: Contrastive Learning Network with Geography Feature Space Joint Negative Sample Correction for Land Cover Classification. Remote. Sens. 15(20): 5056 (2023) - [j30]Chao Tao, Rong Xiao, Yuze Wang, Ji Qi, Haifeng Li:
A General Transitive Transfer Learning Framework for Cross-Optical Sensor Remote Sensing Image Scene Understanding. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4248-4260 (2023) - [j29]Chao Tao, Ji Qi, Guo Zhang, Qing Zhu, Weipeng Lu, Haifeng Li:
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4916-4930 (2023) - [j28]Chao Tao, Ji Qi, Mingning Guo, Qing Zhu, Haifeng Li:
Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works. IEEE Trans. Geosci. Remote. Sens. 61: 1-26 (2023) - [j27]Zhaoyang Zhang, Zhen Ren, Chao Tao, Yunsheng Zhang, Chengli Peng, Haifeng Li:
GraSS: Contrastive Learning With Gradient-Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - 2022
- [j26]Hao Cui, Guo Zhang, Ji Qi, Haifeng Li, Chao Tao, Xue Li, Shasha Hou, Deren Li:
MDANet: Unsupervised, Mixed-Domain Adaptation for Semantic Segmentation of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j25]Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li:
Remote Sensing Image Scene Classification With Self-Supervised Paradigm Under Limited Labeled Samples. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j24]Yuze Wang, Rong Xiao, Ji Qi, Chao Tao:
Cross-Sensor Remote-Sensing Images Scene Understanding Based on Transfer Learning Between Heterogeneous Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j23]Rong Xiao, Yuze Wang, Chao Tao:
Fine-Grained Road Scene Understanding From Aerial Images Based on Semisupervised Semantic Segmentation Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j22]Zhaoyang Zhang, Xuying Wang, Xiaoming Mei, Chao Tao, Haifeng Li:
FALSE: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j21]Jiawei Zhu, Xinqiang Ma, Hemeng Yang, Yan Li, Chao Tao, Haifeng Li:
Comprehensive Geographic Networks Analysis: Statistical, Geometric and Algebraic Perspectives. Symmetry 14(4): 797 (2022) - [j20]Jie Chen, Haozhe Huang, Jian Peng, Jiawei Zhu, Li Chen, Chao Tao, Haifeng Li:
Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j19]Chao Tao, Siyang Fu, Ji Qi, Haifeng Li:
Thick Cloud Removal in Optical Remote Sensing Images Using a Texture Complexity Guided Self-Paced Learning Method. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j18]Hao Wang, Chao Tao, Ji Qi, Rong Xiao, Haifeng Li:
Avoiding Negative Transfer for Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j17]Jiawei Zhu, Xing Han, Hanhan Deng, Chao Tao, Ling Zhao, Pu Wang, Tao Lin, Haifeng Li:
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 23(9): 15055-15065 (2022) - 2021
- [j16]Jiawei Zhu, Qiongjie Wang, Chao Tao, Hanhan Deng, Ling Zhao, Haifeng Li:
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. IEEE Access 9: 35973-35983 (2021) - [j15]Jiawei Zhu, Chao Tao, Xin Lin, Jian Peng, Haozhe Huang, Li Chen, Qiongjie Wang:
A Multiple Subspaces-Based Model: Interpreting Urban Functional Regions with Big Geospatial Data. ISPRS Int. J. Geo Inf. 10(2): 66 (2021) - [j14]Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao:
SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 18(5): 905-909 (2021) - [j13]Chao Tao, Weipeng Lu, Ji Qi, Hao Wang:
Spatial Information Considered Network for Scene Classification. IEEE Geosci. Remote. Sens. Lett. 18(6): 984-988 (2021) - [j12]Jing Shen, Chao Tao, Ji Qi, Hao Wang:
Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification. Remote. Sens. 13(17): 3504 (2021) - [j11]Haifeng Li, Zhenqi Cui, Zhiqiang Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao:
RS-MetaNet: Deep Metametric Learning for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(8): 6983-6994 (2021) - 2020
- [j10]Yajin Wang, Chao Tao, Bin Zou:
A Transfer Learning Approach Utilizing Combined Artificial Samples for Improved Robustness of Model to Estimate Heavy Metal Contamination in Soil. IEEE Access 8: 176960-176972 (2020) - [j9]Haifeng Li, Hao Jiang, Xin Gu, Jian Peng, Wenbo Li, Liang Hong, Chao Tao:
CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification. Sensors 20(4): 1226 (2020) - [j8]Haifeng Li, Xin Dou, Chao Tao, Zhixiang Wu, Jie Chen, Jian Peng, Min Deng, Ling Zhao:
RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data. Sensors 20(6): 1594 (2020) - [j7]Chao Tao, Hao Wang, Ji Qi, Haifeng Li:
Semisupervised Variational Generative Adversarial Networks for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 914-927 (2020) - 2019
- [j6]Chao Tao, Li Mi, Yansheng Li, Ji Qi, Yuan Xiao, Jiaxing Zhang:
Scene Context-Driven Vehicle Detection in High-Resolution Aerial Images. IEEE Trans. Geosci. Remote. Sens. 57(10): 7339-7351 (2019) - 2017
- [j5]Dongjie Ye, Yansheng Li, Chao Tao, Xunwei Xie, Xiang Wang:
Multiple Feature Hashing Learning for Large-Scale Remote Sensing Image Retrieval. ISPRS Int. J. Geo Inf. 6(11): 364 (2017) - [j4]Jiaxing Zhang, Chao Tao, Zhengrong Zou:
An On-Road Vehicle Detection Method for High-Resolution Aerial Images Based on Local and Global Structure Learning. IEEE Geosci. Remote. Sens. Lett. 14(8): 1198-1202 (2017) - 2016
- [j3]Yansheng Li, Chao Tao, Yihua Tan, Ke Shang, Jinwen Tian:
Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 13(2): 157-161 (2016) - [j2]Yansheng Li, Yongjun Zhang, Chao Tao, Hu Zhu:
Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion. Remote. Sens. 8(9): 709 (2016) - 2015
- [j1]Chao Tao, Hong-Bo Pan, Yansheng Li, Zhengrou Zou:
Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 12(12): 2438-2442 (2015)
Conference and Workshop Papers
- 2019
- [c3]Ji Qi, Chao Tao, Hao Wang, Yuqi Tang, Zhenqi Cui:
Spatial Information Inference Net: Road Extraction Using Road-Specific Contextual Information. IGARSS 2019: 9478-9481 - [c2]Hao Wang, Chao Tao, Ji Qi, Haifeng Li, Yuqi Tang:
Semi-Supervised Variational Generative Adversarial Networks for Hyperspectral Image Classification. IGARSS 2019: 9792-9794 - 2016
- [c1]Jiaxing Zhang, Chao Tao, Zhengrong Zou, Hong-Bo Pan:
A vehicle detection method taking shadow areas into account for high resolution aerial imagery. IGARSS 2016: 669-672
Informal and Other Publications
- 2024
- [i17]Chao Tao, Dongsheng Kuang, Zhenyang Huang, Chengli Peng, Haifeng Li:
HSONet: A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection. CoRR abs/2402.16242 (2024) - [i16]Run Shao, Zhaoyang Zhang, Chao Tao, Yunsheng Zhang, Chengli Peng, Haifeng Li:
Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding. CoRR abs/2403.18593 (2024) - 2023
- [i15]Chao Tao, Aoran Hu, Rong Xiao, Haifeng Li, Yuze Wang:
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model. CoRR abs/2310.10219 (2023) - 2022
- [i14]Chao Tao, Ji Qia, Guo Zhang, Qing Zhu, Weipeng Lu, Haifeng Li:
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning. CoRR abs/2204.04716 (2022) - [i13]Zhaoyang Zhang, Xuying Wang, Xiaoming Mei, Chao Tao, Haifeng Li:
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image. CoRR abs/2211.07928 (2022) - [i12]Chao Tao, Ji Qi, Mingning Guo, Qing Zhu, Haifeng Li:
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works. CoRR abs/2211.08129 (2022) - 2021
- [i11]Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao:
Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method. CoRR abs/2106.10605 (2021) - [i10]Jian Peng, Xian Sun, Min Deng, Chao Tao, Bo Tang, Wenbo Li, Guohua Wu, Qing Zhu, Yu Liu, Tao Lin, Haifeng Li:
Learning by Active Forgetting for Neural Networks. CoRR abs/2111.10831 (2021) - 2020
- [i9]Haifeng Li, Zhenqi Cui, Zhiqing Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao:
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification. CoRR abs/2009.13364 (2020) - [i8]Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li:
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples. CoRR abs/2010.00882 (2020) - [i7]Jiawei Zhu, Chao Tao, Hanhan Deng, Ling Zhao, Pu Wang, Tao Lin, Haifeng Li:
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. CoRR abs/2011.11004 (2020) - [i6]Jiawei Zhu, Xin Han, Hanhan Deng, Chao Tao, Ling Zhao, Lin Tao, Haifeng Li:
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. CoRR abs/2011.14992 (2020) - 2019
- [i5]Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao:
SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images. CoRR abs/1912.09121 (2019) - 2017
- [i4]Haifeng Li, Jian Peng, Chao Tao, Jie Chen, Min Deng:
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework? CoRR abs/1705.07077 (2017) - [i3]Haifeng Li, Chao Tao, Zhixiang Wu, Jie Chen, Jianya Gong, Min Deng:
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data. CoRR abs/1705.10450 (2017) - [i2]Jie Chen, Chao Yuan, Min Deng, Chao Tao, Jian Peng, Haifeng Li:
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition. CoRR abs/1708.01420 (2017) - 2016
- [i1]Jie Chen, Jian Peng, Min Deng, Chao Tao, Haifeng Li:
Queue Theory based Response Time Analyses for Geo-Information Processing Chain. CoRR abs/1603.03849 (2016)
Coauthor Index
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