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2020 – today
- 2024
[j11]Guanfang Dong
, Chenqiu Zhao, Xichen Pan, Anup Basu:
Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation. IEEE Trans. Image Process. 33: 2447-2461 (2024)- [j10]Shupei Zhang, Chenqiu Zhao, Anup Basu:
Principal Component Approximation Network for Image Compression. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 121:1-121:20 (2024) - [j9]Yingnan Ma, Chenqiu Zhao, Bingran Huang, Xudong Li, Anup Basu:
RAST: Restorable Arbitrary Style Transfer. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 143:1-143:21 (2024) - [i7]Guanfang Dong, Zijie Tan, Chenqiu Zhao, Anup Basu:
Deep Clustering via Distribution Learning. CoRR abs/2408.03407 (2024) - 2023
- [j8]Chenqiu Zhao, Guanfang Dong, Shupei Zhang, Zijie Tan, Anup Basu:
Frequency Regularization: Reducing Information Redundancy in Convolutional Neural Networks. IEEE Access 11: 106793-106802 (2023) - [c11]Guanfang Dong, Chenqiu Zhao, Anup Basu:
Bridging Distribution Learning and Image Clustering in High-Dimensional Space. VCC 2023: 329-334 - [c10]Yingnan Ma, Chenqiu Zhao, Anup Basu, Xudong Li:
RAST: Restorable Arbitrary Style Transfer via Multi-restoration. WACV 2023: 331-340 - [i6]Chenqiu Zhao, Guanfang Dong, Shupei Zhang, Zijie Tan, Anup Basu:
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks. CoRR abs/2304.07973 (2023) - [i5]Guanfang Dong, Chenqiu Zhao, Xichen Pan, Anup Basu:
Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation. CoRR abs/2304.09949 (2023) - [i4]Chenqiu Zhao, Guanfang Dong, Anup Basu:
Learning Distributions via Monte-Carlo Marginalization. CoRR abs/2308.06352 (2023) - [i3]Guanfang Dong, Chenqiu Zhao, Anup Basu:
Bridging Distribution Learning and Image Clustering in High-dimensional Space. CoRR abs/2308.15667 (2023) - [i2]Zijie Tan, Guanfang Dong, Chenqiu Zhao, Anup Basu:
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module. CoRR abs/2309.00752 (2023) - 2022
- [j7]Chenqiu Zhao, Kangkang Hu, Anup Basu:
Universal Background Subtraction Based on Arithmetic Distribution Neural Network. IEEE Trans. Image Process. 31: 2934-2949 (2022) - [c9]Zhiyuan Lu, Youwei Chen, Chenqiu Zhao:
Motion Segmentation Based on Pixel Distribution Learning on Unseen Videos. ICSM 2022: 309-321 - 2021
- [j6]Yongxin Ge, Junyin Zhang, Xinyu Ren, Chenqiu Zhao, Juan Yang, Anup Basu:
Deep Variation Transformation Network for Foreground Detection. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3544-3558 (2021) - [c8]Chenqiu Zhao, Anup Basu:
Pixel Distribution Learning for Vessel Segmentation under Multiple Scales. EMBC 2021: 2717-2721 - [i1]Chenqiu Zhao, Kangkang Hu, Anup Basu:
Arithmetic Distribution Neural Network for Background Subtraction. CoRR abs/2104.08390 (2021) - 2020
- [j5]Chenqiu Zhao, Anup Basu:
Dynamic Deep Pixel Distribution Learning for Background Subtraction. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4192-4206 (2020) - [c7]Xuanyi Wu, Jianfei Ma, Yu Sun, Chenqiu Zhao, Anup Basu:
Multi-Scale Deep Pixel Distribution Learning for Concrete Crack Detection. ICPR 2020: 6577-6583
2010 – 2019
- 2019
- [j4]Chenqiu Zhao, Aneeshan Sain, Ying Qu, Yongxin Ge, Haibo Hu:
Background Subtraction Based on Integration of Alternative Cues in Freely Moving Camera. IEEE Trans. Circuits Syst. Video Technol. 29(7): 1933-1945 (2019) - [c6]Xuanyi Wu, Xin Gao, Chenqiu Zhao, Jiangzheng Wu, Anup Basu:
Background Subtraction by Difference Clustering. ICSM 2019: 45-56 - [c5]Yingnan Ma, Guanfang Dong, Chenqiu Zhao, Anup Basu, Zhengjiang Wu:
Background Subtraction Based on Principal Motion for a Freely Moving Camera. ICSM 2019: 67-78 - 2018
- [j3]Weitao Fang, Tingting Zhang, Chenqiu Zhao, Danyal Badar Soomro, Rizwan Taj, Haibo Hu:
Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics. IEEE Access 6: 33376-33386 (2018) - [j2]Dan Yang, Chenqiu Zhao, Xiaohong Zhang, Sheng Huang:
Background Modeling by Stability of Adaptive Features in Complex Scenes. IEEE Trans. Image Process. 27(3): 1112-1125 (2018) - [c4]Chenqiu Zhao, Tat-Jen Cham, Xinyu Ren, Jianfei Cai, Haichen Zhu:
Background Subtraction Based on Deep Pixel Distribution Learning. ICME 2018: 1-6 - 2016
- [j1]Fei Li, Xiaohong Zhang, Chenqiu Zhao, Meng Yan:
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 43(6): 294-297 (2016) - [c3]Qianying Huang, Yunsong Wu, Chenqiu Zhao, Xiaohong Zhang, Dan Yang:
Category Guided Sparse Preserving Projection for Biometric Data Dimensionality Reduction. CCBR 2016: 539-546 - [c2]Chenqiu Zhao, Tingting Zhang, Qianying Huang, Xiaohong Zhang, Dan Yang, Yinq Qu, Sheng Huang:
Background Subtraction Based on Superpixels Under Multi-scale in Complex Scenes. CCPR (1) 2016: 392-403 - [c1]Yunsong Wu, Qianying Huang, Xiaohong Zhang, Chenqiu Zhao:
Collaborative Sparse Preserving Projections for Feature Extraction. ICSS 2016: 140-143
Coauthor Index
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