Chenqiu Zhao

Orcid: 0000-0003-4574-4815

According to our database1, Chenqiu Zhao authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Principal Component Approximation Network for Image Compression.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

RAST: Restorable Arbitrary Style Transfer.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation.
IEEE Trans. Image Process., 2024

2023
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module.
CoRR, 2023

Learning Distributions via Monte-Carlo Marginalization.
CoRR, 2023

Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation.
CoRR, 2023

Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks.
CoRR, 2023

Frequency Regularization: Reducing Information Redundancy in Convolutional Neural Networks.
IEEE Access, 2023

RAST: Restorable Arbitrary Style Transfer via Multi-restoration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Bridging Distribution Learning and Image Clustering in High-Dimensional Space.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

2022
Universal Background Subtraction Based on Arithmetic Distribution Neural Network.
IEEE Trans. Image Process., 2022

Motion Segmentation Based on Pixel Distribution Learning on Unseen Videos.
Proceedings of the Smart Multimedia - Third International Conference, 2022

2021
Deep Variation Transformation Network for Foreground Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Arithmetic Distribution Neural Network for Background Subtraction.
CoRR, 2021

Pixel Distribution Learning for Vessel Segmentation under Multiple Scales.
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.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multi-Scale Deep Pixel Distribution Learning for Concrete Crack Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Background Subtraction Based on Integration of Alternative Cues in Freely Moving Camera.
IEEE Trans. Circuits Syst. Video Technol., 2019

Background Subtraction by Difference Clustering.
Proceedings of the Smart Multimedia - Second International Conference, 2019

Background Subtraction Based on Principal Motion for a Freely Moving Camera.
Proceedings of the Smart Multimedia - Second International Conference, 2019

2018
Background Modeling by Stability of Adaptive Features in Complex Scenes.
IEEE Trans. Image Process., 2018

Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics.
IEEE Access, 2018

Background Subtraction Based on Deep Pixel Distribution Learning.
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).
计算机科学, 2016

Collaborative Sparse Preserving Projections for Feature Extraction.
Proceedings of the 9th International Conference on Service Science, 2016

Background Subtraction Based on Superpixels Under Multi-scale in Complex Scenes.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Category Guided Sparse Preserving Projection for Biometric Data Dimensionality Reduction.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016


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