Peng Li

Orcid: 0000-0002-2337-8570

Affiliations:

China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China

According to our database¹, Peng Li authored at least 22 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Hash-Based Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

Lirong Han

Mercedes Eugenia Paoletti

IEEE Trans. Geosci. Remote. Sens., 2024

2023

AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Hashing for Geo-Localization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Encrypting Hashing Against Localization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Spoof-Guided Image Decomposition for Face Anti-spoofing.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Hashing for Localization (HfL): A Baseline for Fast Localizing Objects in a Large-Scale Scene.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Cohesion Intensive Hash Code Book Coconstruction for Efficiently Localizing Sketch Depicted Scenes.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Weakly-supervised action localization via embedding-modeling iterative optimization.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

2020

Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hash Code Reconstruction for Fast Similarity Search.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Deep convolutional representations and kernel extreme learning machines for image classification.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Active semi-supervised learning based on self-expressive correlation with generative adversarial networks.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Deep Super-Resolution Hashing Network for Low-Resolution Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Online Hashing for Scalable Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Region-Wise Deep Feature Representation for Remote Sensing Images.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Augmented Self-paced Learning with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2018, 2018

SegGAN: Semantic Segmentation with Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017

Partial Randomness Hashing for Large-Scale Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

Peng Li

Peng Ren

IEEE Geosci. Remote. Sens. Lett., 2017

R<sup>2</sup>PCAH: Hashing with two-fold randomness on principal projections.

[BibT_eX]

[DOI]

Peng Li

Peng Ren

Neurocomputing, 2017

Partial Random Spherical Hashing for Large-Scale Image Retrieval.

[BibT_eX]

[DOI]

Peng Li

Peng Ren

Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Peng Li

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