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Wenxue Cui
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2020 – today
- 2024
- [j7]Hao Wang, Hengyu Man, Wenxue Cui, Riyu Lu, Chenxin Cai, Xiaopeng Fan:
GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks. Neural Networks 178: 106472 (2024) - [j6]Chen Hui, Shengping Zhang, Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao:
Rate-Adaptive Neural Network for Image Compressive Sensing. IEEE Trans. Multim. 26: 2515-2530 (2024) - [j5]Wenxue Cui, Xiaopeng Fan, Jian Zhang, Debin Zhao:
Deep Unfolding Network for Image Compressed Sensing by Content-Adaptive Gradient Updating and Deformation-Invariant Non-Local Modeling. IEEE Trans. Multim. 26: 4012-4027 (2024) - [j4]Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu, Xinwei Gao, Debin Zhao:
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 212:1-212:22 (2024) - [c14]Tong Zhang, Wenxue Cui, Shaohui Liu, Feng Jiang:
SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer. ICME 2024: 1-6 - [c13]Xingtao Wang, Xianqi Zhang, Wenxue Cui, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao:
Mesh Denoising Using Filtering Coefficients Jointly Aware of Noise and Geometry. ACM Multimedia 2024: 1791-1799 - [i10]Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu, Xinwei Gao, Debin Zhao:
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling. CoRR abs/2402.19111 (2024) - [i9]Tong Zhang, Wenxue Cui, Shaohui Liu, Feng Jiang:
SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer. CoRR abs/2404.14709 (2024) - 2023
- [j3]Xingtao Wang, Wenxue Cui, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao:
FCNet: Learning Noise-Free Features for Point Cloud Denoising. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6288-6301 (2023) - [j2]Chen Ma, Junjun Jiang, Huayi Li, Wenxue Cui, Guoyuan Li:
Progressive Token Reduction and Compensation for Hyperspectral Image Representation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j1]Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao:
Image Compressed Sensing Using Non-Local Neural Network. IEEE Trans. Multim. 25: 816-830 (2023) - [c12]Tong Zhang, Wenxue Cui, Chen Hui, Feng Jiang:
Hierarchical Interactive Reconstruction Network for Video Compressive Sensing. ICASSP 2023: 1-5 - [c11]Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu, Chen Ma, Debin Zhao:
G2-DUN: Gradient Guided Deep Unfolding Network for Image Compressive Sensing. ACM Multimedia 2023: 7933-7942 - [i8]Tong Zhang, Wenxue Cui, Chen Hui, Feng Jiang:
Hierarchical Interactive Reconstruction Network For Video Compressive Sensing. CoRR abs/2304.07473 (2023) - [i7]Wenxue Cui, Xiaopeng Fan, Jian Zhang, Debin Zhao:
Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling. CoRR abs/2310.10033 (2023) - 2022
- [c10]Wenxue Cui, Shaohui Liu, Debin Zhao:
Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing. ACM Multimedia 2022: 2739-2748 - [i6]Wenxue Cui, Shaohui Liu, Debin Zhao:
Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing. CoRR abs/2208.01827 (2022) - 2021
- [c9]Chen Hui, Shaohui Liu, Wenxue Cui, Jinghua Zeng, Feng Jiang, Debin Zhao:
Adaptive Flexible 3D Histogram Watermarking. ICME 2021: 1-6 - [c8]Wei Zhang, Wenxue Cui, Feng Jiang, Chifu Yang, Ran Li:
Protecting the Ownership of Deep Learning Models with An End-to-End Watermarking Framework. TrustCom 2021: 76-82 - [i5]Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao:
Multi-Stage Residual Hiding for Image-into-Audio Steganography. CoRR abs/2101.01872 (2021) - [i4]Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao:
Image Compressed Sensing Using Non-local Neural Network. CoRR abs/2112.03712 (2021) - 2020
- [c7]Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao:
Multi-Stage Residual Hiding for Image-Into-Audio Steganography. ICASSP 2020: 2832-2836
2010 – 2019
- 2019
- [c6]Donghao Gu, Zhaojing Wen, Wenxue Cui, Rui Wang, Feng Jiang, Shaohui Liu:
Continuous Bidirectional Optical Flow for Video Frame Sequence Interpolation. ICME 2019: 1768-1773 - 2018
- [c5]Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao:
An Efficient Deep Convolutional Laplacian Pyramid Architecture for Cs Reconstruction At Low Sampling Ratios. ICASSP 2018: 1748-1752 - [c4]Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao:
Deep Neural Network Based Sparse Measurement Matrix for Image Compressed Sensing. ICIP 2018: 3883-3887 - [c3]Wenxue Cui, Shaohui Liu, Shengping Zhang, Yashu Liu, Heyao Xu, Xinwei Gao, Feng Jiang, Debin Zhao:
Classification Guided Deep Convolutional Network for Compressed Sensing. ICPR 2018: 2905-2910 - [c2]Wenxue Cui, Feng Jiang, Xinwei Gao, Shengping Zhang, Debin Zhao:
An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images. ACM Multimedia 2018: 1777-1785 - [i3]Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao:
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios. CoRR abs/1804.04970 (2018) - [i2]Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao:
Deep neural network based sparse measurement matrix for image compressed sensing. CoRR abs/1806.07026 (2018) - [i1]Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, Wangmeng Zuo, Debin Zhao:
Convolutional Neural Networks based Intra Prediction for HEVC. CoRR abs/1808.05734 (2018) - 2017
- [c1]Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, Wangmeng Zuo, Zhaolin Wan, Debin Zhao:
Convolutional Neural Networks Based Intra Prediction for HEVC. DCC 2017: 436
Coauthor Index
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