Category Guided Sparse Preserving Projection for Biometric Data Dimensionality Reduction. - Qianying Huang; Yunsong Wu; Chenqiu Zhao; Xiaohong Zhang 002; Dan Yang 001 (CCBR, 2016)

Background Subtraction Based on Superpixels Under Multi-scale in Complex Scenes. - Chenqiu Zhao; Tingting Zhang; Qianying Huang; Xiaohong Zhang 002; Dan Yang 001; Yinq Qu; Sheng Huang 001 (CCPR (1), 2016)

Collaborative Sparse Preserving Projections for Feature Extraction. - Yunsong Wu; Qianying Huang; Xiaohong Zhang 002; Chenqiu Zhao (ICSS, 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). - Fei Li; Xiaohong Zhang 002; Chenqiu Zhao; Meng Yan 001 (计算机科学, 2016)

Background Subtraction Based on Deep Pixel Distribution Learning. - Chenqiu Zhao; Tat-Jen Cham; Xinyu Ren; Jianfei Cai 001; Haichen Zhu (ICME, 2018)

Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics. - Weitao Fang; Tingting Zhang; Chenqiu Zhao; Danyal Badar Soomro; Rizwan Taj; Haibo Hu 002 (IEEE Access, 2018)

Background Modeling by Stability of Adaptive Features in Complex Scenes. - Dan Yang 001; Chenqiu Zhao; Xiaohong Zhang 002; Sheng Huang 001 (IEEE Trans. Image Process., 2018)

Background Subtraction Based on Principal Motion for a Freely Moving Camera. - Yingnan Ma; Guanfang Dong; Chenqiu Zhao; Anup Basu; Zhengjiang Wu (ICSM, 2019)

Background Subtraction by Difference Clustering. - Xuanyi Wu; Xin Gao; Chenqiu Zhao; Jiangzheng Wu; Anup Basu (ICSM, 2019)

Background Subtraction Based on Integration of Alternative Cues in Freely Moving Camera. - Chenqiu Zhao; Aneeshan Sain; Ying Qu 007; Yongxin Ge; Haibo Hu 002 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Multi-Scale Deep Pixel Distribution Learning for Concrete Crack Detection. - Xuanyi Wu; Jianfei Ma; Yu Sun; Chenqiu Zhao; Anup Basu (ICPR, 2020)

Dynamic Deep Pixel Distribution Learning for Background Subtraction. - Chenqiu Zhao; Anup Basu (IEEE Trans. Circuits Syst. Video Technol., 2020)

Pixel Distribution Learning for Vessel Segmentation under Multiple Scales. - Chenqiu Zhao; Anup Basu (EMBC, 2021)

Arithmetic Distribution Neural Network for Background Subtraction. - Chenqiu Zhao; Kangkang Hu; Anup Basu (CoRR, 2021)

Deep Variation Transformation Network for Foreground Detection. - Yongxin Ge; Junyin Zhang; Xinyu Ren; Chenqiu Zhao; Juan Yang; Anup Basu (IEEE Trans. Circuits Syst. Video Technol., 2021)

Motion Segmentation Based on Pixel Distribution Learning on Unseen Videos. - Zhiyuan Lu; Youwei Chen; Chenqiu Zhao (ICSM, 2022)

Universal Background Subtraction Based on Arithmetic Distribution Neural Network. - Chenqiu Zhao; Kangkang Hu; Anup Basu (IEEE Trans. Image Process., 2022)

Bridging Distribution Learning and Image Clustering in High-Dimensional Space. - Guanfang Dong; Chenqiu Zhao; Anup Basu (VCC, 2023)

RAST: Restorable Arbitrary Style Transfer via Multi-restoration. - Yingnan Ma; Chenqiu Zhao; Anup Basu; Xudong Li (WACV, 2023)

Frequency Regularization: Reducing Information Redundancy in Convolutional Neural Networks. - Chenqiu Zhao; Guanfang Dong; Shupei Zhang; Zijie Tan; Anup Basu (IEEE Access, 2023)

Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks. - Chenqiu Zhao; Guanfang Dong; Shupei Zhang; Zijie Tan; Anup Basu (CoRR, 2023)

Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation. - Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu (CoRR, 2023)

Learning Distributions via Monte-Carlo Marginalization. - Chenqiu Zhao; Guanfang Dong; Anup Basu (CoRR, 2023)

Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module. - Zijie Tan; Guanfang Dong; Chenqiu Zhao; Anup Basu (ICSM, 2024)

LMoW: A Latent Random Variable Model for Unconditional Human Motion Generation. - Faisal Ahmed; Justin Rozeboom; Hanran Song; Chenqiu Zhao; Anup Basu (MMAsia, 2024)

Accelerating Inference of Networks in the Frequency Domain. - Chenqiu Zhao; Guanfang Dong; Anup Basu (MMAsia, 2024)

Deep Clustering via Distribution Learning. - Guanfang Dong; Zijie Tan; Chenqiu Zhao; Anup Basu (CoRR, 2024)

Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation. - Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu (IEEE Trans. Image Process., 2024)

RAST: Restorable Arbitrary Style Transfer. - Yingnan Ma; Chenqiu Zhao; Bingran Huang; Xudong Li; Anup Basu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Principal Component Approximation Network for Image Compression. - Shupei Zhang; Chenqiu Zhao; Anup Basu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Exploring Image Generation via Mutually Exclusive Probability Spaces and Local Correlation Hypothesis. - Chenqiu Zhao; Anup Basu (CoRR, 2025)