Chenqiu Zhao

34 papers A 2B 1Journal 20Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploring Image Generation via Mutually Exclusive Probability Spaces and Local Correlation Hypothesis.
CoRR
Chenqiu Zhao, Anup Basu
2024 — conf
Accelerating Inference of Networks in the Frequency Domain.
MMAsia
Chenqiu Zhao, Guanfang Dong, Anup Basu
2024 J jnl
Accelerating Inference of Networks in the Frequency Domain.
CoRR
Chenqiu Zhao, Guanfang Dong, Anup Basu
2024 — conf
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module.
ICSM
Zijie Tan, Guanfang Dong, Chenqiu Zhao, Anup Basu
2024 J jnl
Deep Clustering via Distribution Learning.
CoRR
Guanfang Dong, Zijie Tan, Chenqiu Zhao, Anup Basu
2024 — conf
LMoW: A Latent Random Variable Model for Unconditional Human Motion Generation.
MMAsia
Faisal Ahmed, Justin Rozeboom, Hanran Song, Chenqiu Zhao, Anup Basu
2024 J jnl
Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation.
IEEE Trans. Image Process.
Guanfang Dong, Chenqiu Zhao, Xichen Pan, Anup Basu
2024 J jnl
Principal Component Approximation Network for Image Compression.
ACM Trans. Multim. Comput. Commun. Appl.
Shupei Zhang, Chenqiu Zhao, Anup Basu
2024 J jnl
RAST: Restorable Arbitrary Style Transfer.
ACM Trans. Multim. Comput. Commun. Appl.
Yingnan Ma, Chenqiu Zhao, Bingran Huang, Xudong Li, Anup Basu
2023 J jnl
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module.
CoRR
Zijie Tan, Guanfang Dong, Chenqiu Zhao, Anup Basu
2023 — conf
Bridging Distribution Learning and Image Clustering in High-Dimensional Space.
VCC
Guanfang Dong, Chenqiu Zhao, Anup Basu
2023 J jnl
Bridging Distribution Learning and Image Clustering in High-dimensional Space.
CoRR
Guanfang Dong, Chenqiu Zhao, Anup Basu
2023 J jnl
Frequency Regularization: Reducing Information Redundancy in Convolutional Neural Networks.
IEEE Access
Chenqiu Zhao, Guanfang Dong, Shupei Zhang, Zijie Tan, Anup Basu
2023 J jnl
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks.
CoRR
Chenqiu Zhao, Guanfang Dong, Shupei Zhang, Zijie Tan, Anup Basu
2023 J jnl
Learning Distributions via Monte-Carlo Marginalization.
CoRR
Chenqiu Zhao, Guanfang Dong, Anup Basu
2023 J jnl
Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation.
CoRR
Guanfang Dong, Chenqiu Zhao, Xichen Pan, Anup Basu
2023 A conf
RAST: Restorable Arbitrary Style Transfer via Multi-restoration.
WACV
Yingnan Ma, Chenqiu Zhao, Anup Basu, Xudong Li
2022 — conf
Motion Segmentation Based on Pixel Distribution Learning on Unseen Videos.
ICSM
Zhiyuan Lu, Youwei Chen, Chenqiu Zhao
2022 J jnl
Universal Background Subtraction Based on Arithmetic Distribution Neural Network.
IEEE Trans. Image Process.
Chenqiu Zhao, Kangkang Hu, Anup Basu
2021 J jnl
Arithmetic Distribution Neural Network for Background Subtraction.
CoRR
Chenqiu Zhao, Kangkang Hu, Anup Basu
2021 J jnl
Deep Variation Transformation Network for Foreground Detection.
IEEE Trans. Circuits Syst. Video Technol.
Yongxin Ge, Junyin Zhang, Xinyu Ren, Chenqiu Zhao, Juan Yang, Anup Basu
2021 — conf
Pixel Distribution Learning for Vessel Segmentation under Multiple Scales.
EMBC
Chenqiu Zhao, Anup Basu
2020 J jnl
Dynamic Deep Pixel Distribution Learning for Background Subtraction.
IEEE Trans. Circuits Syst. Video Technol.
Chenqiu Zhao, Anup Basu
2020 B conf
Multi-Scale Deep Pixel Distribution Learning for Concrete Crack Detection.
ICPR
Xuanyi Wu, Jianfei Ma, Yu Sun, Chenqiu Zhao, Anup Basu
2019 J jnl
Background Subtraction Based on Integration of Alternative Cues in Freely Moving Camera.
IEEE Trans. Circuits Syst. Video Technol.
Chenqiu Zhao, Aneeshan Sain, Ying Qu, Yongxin Ge, Haibo Hu
2019 — conf
Background Subtraction Based on Principal Motion for a Freely Moving Camera.
ICSM
Yingnan Ma, Guanfang Dong, Chenqiu Zhao, Anup Basu, Zhengjiang Wu
2019 — conf
Background Subtraction by Difference Clustering.
ICSM
Xuanyi Wu, Xin Gao, Chenqiu Zhao, Jiangzheng Wu, Anup Basu
2018 J jnl
Background Modeling by Stability of Adaptive Features in Complex Scenes.
IEEE Trans. Image Process.
Dan Yang, Chenqiu Zhao, Xiaohong Zhang, Sheng Huang
2018 A conf
Background Subtraction Based on Deep Pixel Distribution Learning.
ICME
Chenqiu Zhao, Tat-Jen Cham, Xinyu Ren, Jianfei Cai, Haichen Zhu
2018 J jnl
Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics.
IEEE Access
Weitao Fang, Tingting Zhang, Chenqiu Zhao, Danyal Badar Soomro, Rizwan Taj, Haibo Hu
2016 — conf
Background Subtraction Based on Superpixels Under Multi-scale in Complex Scenes.
CCPR (1)
Chenqiu Zhao, Tingting Zhang, Qianying Huang, Xiaohong Zhang, Dan Yang, Yinq Qu, Sheng Huang
2016 — conf
Category Guided Sparse Preserving Projection for Biometric Data Dimensionality Reduction.
CCBR
Qianying Huang, Yunsong Wu, Chenqiu Zhao, Xiaohong Zhang, Dan Yang
2016 — conf
Collaborative Sparse Preserving Projections for Feature Extraction.
ICSS
Yunsong Wu, Qianying Huang, Xiaohong Zhang, Chenqiu Zhao
2016 J jnl
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
Fei Li, Xiaohong Zhang, Chenqiu Zhao, Meng Yan