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Peng Liu

Publications
3
Citations
0
Publications by Year
20242025
Co-Authors:
Show All Co-Authors (8)
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Peng Liu

Affiliation

School of Information Science and Engineering
Yunnan University
Kunming, China

Publication Topics

Biography

Peng Liu received the B.S. degree in computer science and technology from the Henan Institute of Science and Technology, Luoyang, China, in 2017. He is currently pursuing the Ph.D. degree with the School of Information Science and Engineering, Yunnan University, Kunming, China.,His research interests include computer vision and machine learning.(Based on document published on 4 September 2023).
Publications
3
Citations
0
Publications by Year
20242025
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph

Yunxuan Tang;Xue Wang;Peng Liu;Tong Li

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2025 | Volume: 18 | Journal Article |
Deep learning (DL)-based pan-sharpening methods have become mainstream due to their exceptional performance. However, the lack of ground truth for supervised learning forces most DL-based methods to use pseudoground truth multispectral images, limiting learning potential and constraining the model's solution space. Unsupervised methods often neglect mutual learning across modalities, leading to in...Show More

Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph

Yunxuan Tang;Xue Wang;Peng Liu;Tong Li

Year: 2025 | Volume: 18 | Journal Article |

Multi-Interactive Enhanced for Defocus Blur Estimation

Huaguang Li;Wenhua Qian;Jinde Cao;Rencan Nie;Peng Liu;Dan Xu

IEEE Transactions on Computational Imaging
Year: 2024 | Volume: 10 | Journal Article |
Defocus blur estimation requires high-precision detection between the homogeneous region and transition edge. This paper develops a novel progressive design that effectively addresses this challenge. Our multi-interactive scheme could gradually learn the characteristics of degraded input and divide complex defocus blur estimation into more manageable subnetworks. Specifically, we equally degrade t...Show More

Multi-Interactive Enhanced for Defocus Blur Estimation

Huaguang Li;Wenhua Qian;Jinde Cao;Rencan Nie;Peng Liu;Dan Xu

Year: 2024 | Volume: 10 | Journal Article |

Semi-Supervised Dimensional Media Sentiment Analysis via Exploring Sample Relationships

Peng Liu;Wenhua Qian;Huaguang Li;Jinde Cao

IEEE Transactions on Computational Social Systems
Year: 2024 | Volume: 11, Issue: 4 | Journal Article |
Dimensional sentiment analysis (DSA) aims to recognize continuous real-valued annotations in multidimensional spaces such as valence-arousal space. It can serve as a sentiment analysis that is more fine-grained than traditional polarity classification. Existing methods primarily focused on supervised learning, which requires a large number of training samples. To address this issue, recent studies...Show More

Semi-Supervised Dimensional Media Sentiment Analysis via Exploring Sample Relationships

Peng Liu;Wenhua Qian;Huaguang Li;Jinde Cao

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

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