Chenqiu Zhao

Orcid: 0000-0003-4574-4815

According to our database¹, Chenqiu Zhao authored at least 30 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Principal Component Approximation Network for Image Compression.

[BibT_eX]

[DOI]

Shupei Zhang

Chenqiu Zhao

Anup Basu

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

RAST: Restorable Arbitrary Style Transfer.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Deep Clustering via Distribution Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Accelerating Inference of Networks in the Frequency Domain.

[BibT_eX]

[DOI]

Chenqiu Zhao

Guanfang Dong

Anup Basu

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

LMoW: A Latent Random Variable Model for Unconditional Human Motion Generation.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

2023

Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Distributions via Monte-Carlo Marginalization.

[BibT_eX]

[DOI]

Chenqiu Zhao

Guanfang Dong

Anup Basu

CoRR, 2023

Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Frequency Regularization: Reducing Information Redundancy in Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2023

RAST: Restorable Arbitrary Style Transfer via Multi-restoration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Bridging Distribution Learning and Image Clustering in High-Dimensional Space.

[BibT_eX]

[DOI]

Guanfang Dong

Chenqiu Zhao

Anup Basu

Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

2022

Universal Background Subtraction Based on Arithmetic Distribution Neural Network.

[BibT_eX]

[DOI]

Chenqiu Zhao

Kangkang Hu

Anup Basu

IEEE Trans. Image Process., 2022

Motion Segmentation Based on Pixel Distribution Learning on Unseen Videos.

[BibT_eX]

[DOI]

Zhiyuan Lu

Youwei Chen

Chenqiu Zhao

Proceedings of the Smart Multimedia - Third International Conference, 2022

2021

Deep Variation Transformation Network for Foreground Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Arithmetic Distribution Neural Network for Background Subtraction.

[BibT_eX]

[DOI]

Chenqiu Zhao

Kangkang Hu

Anup Basu

CoRR, 2021

Pixel Distribution Learning for Vessel Segmentation under Multiple Scales.

[BibT_eX]

[DOI]

Chenqiu Zhao

Anup Basu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Dynamic Deep Pixel Distribution Learning for Background Subtraction.

[BibT_eX]

[DOI]

Chenqiu Zhao

Anup Basu

IEEE Trans. Circuits Syst. Video Technol., 2020

Multi-Scale Deep Pixel Distribution Learning for Concrete Crack Detection.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Background Subtraction Based on Integration of Alternative Cues in Freely Moving Camera.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2019

Background Subtraction by Difference Clustering.

[BibT_eX]

[DOI]

Proceedings of the Smart Multimedia - Second International Conference, 2019

Background Subtraction Based on Principal Motion for a Freely Moving Camera.

[BibT_eX]

[DOI]

Proceedings of the Smart Multimedia - Second International Conference, 2019

2018

Background Modeling by Stability of Adaptive Features in Complex Scenes.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics.

[BibT_eX]

[DOI]

IEEE Access, 2018

Background Subtraction Based on Deep Pixel Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2016

自适应的SILTP算法在运动车辆检测中的研究 (Vehicle Detection Research Based on Adaptive SILTP Algorithm).

[BibT_eX]

[DOI]

计算机科学, 2016

Collaborative Sparse Preserving Projections for Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Service Science, 2016

Background Subtraction Based on Superpixels Under Multi-scale in Complex Scenes.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Category Guided Sparse Preserving Projection for Biometric Data Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Chenqiu Zhao

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