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2020 – today
- 2023
[j84]Xinyue Wang, Liping Jing
, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng:
Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2897-2912 (2023)- [j83]Zhi-Feng Pang, Mengxiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang, Zhanli Hu:
Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Process. 205: 108881 (2023) - [j82]Ziyu Liu, Ruyi Feng, Lizhe Wang, Tieyong Zeng:
Gradient Prior Dilated Convolution Network for Remote Sensing Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3945-3958 (2023) - [j81]Chenxin Wang, Zhenwei Zhang, Zhichang Guo, Tieyong Zeng, Yuping Duan:
Efficient SAV Algorithms for Curvature Minimization Problems. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1624-1642 (2023) - [j80]Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi:
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. IEEE Trans. Image Process. 32: 1978-1991 (2023) - [i37]Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li:
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. CoRR abs/2301.06002 (2023) - [i36]Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang:
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks. CoRR abs/2301.09245 (2023) - [i35]Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan:
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. CoRR abs/2302.07045 (2023) - [i34]Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang:
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. CoRR abs/2302.10309 (2023) - [i33]Feng-Lei Fan, Hang-Cheng Dong, Zhongming Wu, Lecheng Ruan, Tieyong Zeng, Yiming Cui, Jing-Xiao Liao:
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks. CoRR abs/2303.06316 (2023) - [i32]Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng:
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution. CoRR abs/2303.13807 (2023) - [i31]Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun:
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. CoRR abs/2303.16841 (2023) - [i30]Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Tieyong Zeng:
EWT: Efficient Wavelet-Transformer for Single Image Denoising. CoRR abs/2304.06274 (2023) - [i29]Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng:
Fast MRI Reconstruction via Edge Attention. CoRR abs/2304.11400 (2023) - [i28]Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing:
Recognizable Information Bottleneck. CoRR abs/2304.14618 (2023) - [i27]Feng-Lei Fan, Zeyu Li, Huan Xiong, Tieyong Zeng:
Rethink Depth Separation with Intra-layer Links. CoRR abs/2305.07037 (2023) - [i26]Yiming Cui, Lecheng Ruan, Hang-Cheng Dong, Qiang Li, Zhongming Wu, Tieyong Zeng, Feng-Lei Fan:
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance. CoRR abs/2305.07814 (2023) - [i25]Feng-Lei Fan, Wei Huang, Xiangru Zhong, Lecheng Ruan, Tieyong Zeng, Huan Xiong, Fei Wang:
Deep ReLU Networks Have Surprisingly Simple Polytopes. CoRR abs/2305.09145 (2023) - 2022
- [j79]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing 489: 449-465 (2022) - [j78]Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang:
Adjustable super-resolution network via deep supervised learning and progressive self-distillation. Neurocomputing 500: 379-393 (2022) - [j77]Yuchao Tang, Meng Wen, Tieyong Zeng:
Preconditioned Three-Operator Splitting Algorithm with Applications to Image Restoration. J. Sci. Comput. 92(3): 106 (2022) - [j76]Tingting Wu, Zhihui Mao, Zeyu Li, Yonghua Zeng, Tieyong Zeng:
Efficient Color Image Segmentation via Quaternion-based L1/L2 Regularization. J. Sci. Comput. 93(1): 9 (2022) - [j75]Shuailing Feng, Wen Huang, Lele Song, Shihui Ying, Tieyong Zeng:
Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds. Optim. Lett. 16(8): 2277-2297 (2022) - [j74]Zhi Li, Ming Yan, Tieyong Zeng, Guixu Zhang:
Phase retrieval from incomplete data via weighted nuclear norm minimization. Pattern Recognit. 125: 108537 (2022) - [j73]Chaoyan Huang, Zhi Li, Yubing Liu, Tingting Wu, Tieyong Zeng:
Quaternion-based weighted nuclear norm minimization for color image restoration. Pattern Recognit. 128: 108665 (2022) - [j72]Tingting Wu, Xiaoyu Gu, Zeyu Li, Zhi Li, Jianwei Niu, Tieyong Zeng:
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise. SIAM J. Imaging Sci. 15(2): 424-454 (2022) - [j71]Yueyun Liu, Yuping Duan, Tieyong Zeng:
Learning multi-level structural information for small organ segmentation. Signal Process. 193: 108418 (2022) - [j70]Chaoyan Huang, Yingying Fang, Tingting Wu, Tieyong Zeng, Yonghua Zeng:
Quaternion Screened Poisson Equation for Low-Light Image Enhancement. IEEE Signal Process. Lett. 29: 1417-1421 (2022) - [j69]Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-View Learning. IEEE Trans. Big Data 8(6): 1664-1677 (2022) - [j68]Ruyi Feng, Hao Li, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng:
Local Spatial Constraint and Total Variation for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j67]Ziyu Liu, Ruyi Feng, Lizhe Wang, Wei Han, Tieyong Zeng:
Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j66]Yuqiang Zhang, Min Liu, Fuhao Yu, Tieyong Zeng, Yaonan Wang:
An O-Shape Neural Network With Attention Modules to Detect Junctions in Biomedical Images Without Segmentation. IEEE J. Biomed. Health Informatics 26(2): 774-785 (2022) - [j65]Chaoyan Huang, Michael K. Ng, Tingting Wu, Tieyong Zeng:
Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration. IEEE Trans. Multim. 24: 3769-3781 (2022) - [c27]Meina Zhang, Yingying Fang, Guoxi Ni, Tieyong Zeng:
Pixel screening based intermediate correction for blind deblurring. CVPR 2022: 1-9 - [c26]Zhisheng Lu, Juncheng Li, Hong Liu, Chaoyan Huang, Linlin Zhang, Tieyong Zeng:
Transformer for Single Image Super-Resolution. CVPR Workshops 2022: 456-465 - [c25]Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang:
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation. CVPR Workshops 2022: 557-566 - [c24]Yingying Fang, Hao Zhang, Hok Shing Wong, Tieyong Zeng:
A robust non-blind deblurring method using deep denoiser prior. CVPR Workshops 2022: 734-743 - [c23]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2022: 905-918 - [c22]Zhi Li, Ruyi Feng, Yichang Shi, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng:
Graph Laplacian Regularized Spectral-Spatial-Sparse Unmixing for Hyperspectral Imagery. IGARSS 2022: 1608-1611 - [c21]Ziyu Liu, Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng:
Remote Sensing Image Super-Resolution via Dilated Convolution Network with Gradient Prior. IGARSS 2022: 2402-2405 - [c20]Fumin Cui, Yichang Shi, Ruyi Feng, Lizhe Wang, Tieyong Zeng:
A Graph-Based Dual Convolutional Network for Automatic Road Extraction from High Resolution Remote Sensing Images. IGARSS 2022: 3015-3018 - [c19]Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng:
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. IJCAI 2022: 913-919 - [c18]Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng:
Exploring Latent Sparse Graph for Large-Scale Semi-supervised Learning. ECML/PKDD (4) 2022: 367-383 - [i24]Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi:
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. CoRR abs/2204.08696 (2022) - [i23]Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng:
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. CoRR abs/2204.13286 (2022) - [i22]Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang:
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation. CoRR abs/2204.13873 (2022) - [i21]Jianwei Niu, Hok Shing Wong, Tieyong Zeng:
Convex Augmentation for Total Variation Based Phase Retrieval. CoRR abs/2205.00834 (2022) - [i20]Cheng Chang, Tieyong Zeng:
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification. CoRR abs/2205.06494 (2022) - [i19]Bodong Cheng, Juncheng Li, Ying Chen, Shuyi Zhang, Tieyong Zeng:
Snow Mask Guided Adaptive Residual Network for Image Snow Removal. CoRR abs/2207.04754 (2022) - [i18]Jianfei Li, Chaoyan Huang, Raymond H. Chan, Han Feng, Micheal Ng, Tieyong Zeng:
Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks. CoRR abs/2209.14604 (2022) - [i17]Xiaole Tang, Xile Zhao, Jun Liu, Jian-Li Wang, Yuchun Miao, Tieyong Zeng:
Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge. CoRR abs/2210.05361 (2022) - [i16]Tingting Wu, Wenna Wu, Ying Yang, Feng-Lei Fan, Tieyong Zeng:
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework. CoRR abs/2210.05436 (2022) - 2021
- [j64]Tingting Wu, Jinbo Shao, Xiaoyu Gu, Michael K. Ng, Tieyong Zeng:
Two-stage image segmentation based on nonconvex ℓ2-ℓp approximation and thresholding. Appl. Math. Comput. 403: 126168 (2021) - [j63]Shaowen Yan, Guoxi Ni, Tieyong Zeng:
Image restoration based on fractional-order model with decomposition: texture and cartoon. Comput. Appl. Math. 40(8) (2021) - [j62]Lihua Min, Qiang Cui, Zhengmeng Jin, Tieyong Zeng:
Inhomogeneous image segmentation based on local constant and global smoothness priors. Digit. Signal Process. 111: 102989 (2021) - [j61]Xinyue Wang, Jian Xu, Tieyong Zeng, Liping Jing:
Local distribution-based adaptive minority oversampling for imbalanced data classification. Neurocomputing 422: 200-213 (2021) - [j60]Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Tieyong Zeng:
Smooth Soft-Balance Discriminative Analysis for imbalanced data. Knowl. Based Syst. 228: 106604 (2021) - [j59]Jun Liu, Ming Yan, Tieyong Zeng:
Surface-Aware Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1041-1055 (2021) - [j58]Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. SIAM J. Sci. Comput. 43(3): B570-B597 (2021) - [j57]Tingting Wu, Xiaoyu Gu, Youguo Wang, Tieyong Zeng:
Adaptive total variation based image segmentation with semi-proximal alternating minimization. Signal Process. 183: 108017 (2021) - [j56]Fan Jia, Liyan Ma, Yijin Yang, Tieyong Zeng:
Pixel-Attention CNN With Color Correlation Loss for Color Image Denoising. IEEE Signal Process. Lett. 28: 1600-1604 (2021) - [j55]Changhao Guo, Min Liu, Tongkun Guan, Weixun Chen, He Wen, Tieyong Zeng, Yaonan Wang:
Crossover Structure Separation With Application to Neuron Tracing in Volumetric Images. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j54]Fuhao Yu, Min Liu, Weixun Chen, He Wen, Yaonan Wang, Tieyong Zeng:
Automatic Repair of 3-D Neuron Reconstruction Based on Topological Feature Points and an MOST-Based Repairer. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j53]Li Wang, Raymond H. Chan, Tieyong Zeng:
Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning. IEEE Trans. Neural Networks Learn. Syst. 32(2): 853-867 (2021) - [j52]Faming Fang, Juncheng Li, Yiting Yuan, Tieyong Zeng, Guixu Zhang:
Multilevel Edge Features Guided Network for Image Denoising. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3956-3970 (2021) - [c17]Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Toward Real-Time Scene Recovery. CVPR 2021: 14802-14810 - [c16]Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng:
Structure-Preserving Deraining with Residue Channel Prior Guidance. ICCV 2021: 4218-4227 - [c15]Fan Jia, Wing Hong Wong, Tieyong Zeng:
DDUNet: Dense Dense U-Net with Applications in Image Denoising. ICCVW 2021: 354-364 - [c14]Xiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng:
SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation. ICCVW 2021: 3002-3011 - [i15]Liu Liu, Tieyong Zeng, Zecheng Zhang:
A deep neural network approach on solving the linear transport model under diffusive scaling. CoRR abs/2102.12408 (2021) - [i14]Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Toward Real-Time Scene Recovery. CoRR abs/2103.17126 (2021) - [i13]Cheng Chang, Liu Liu, Tieyong Zeng:
Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs. CoRR abs/2104.09625 (2021) - [i12]Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng:
Structure-Preserving Deraining with Residue Channel Prior Guidance. CoRR abs/2108.09079 (2021) - [i11]Juncheng Li, Zehua Pei, Tieyong Zeng:
From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution. CoRR abs/2109.14335 (2021) - [i10]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR abs/2111.01968 (2021) - 2020
- [j51]Tingting Wu, Wei Li, Lihua Li, Tieyong Zeng:
A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise. IEEE Access 8: 37790-37807 (2020) - [j50]Xiaofeng Ding, Yaxin Peng, Chaomin Shen, Tieyong Zeng:
CAB U-Net: An end-to-end category attention boosting algorithm for segmentation. Comput. Medical Imaging Graph. 84: 101764 (2020) - [j49]Zhijie Wen, Jiawei Guan, Tieyong Zeng, Ying Li:
Residual network with detail perception loss for single image super-resolution. Comput. Vis. Image Underst. 199: 103007 (2020) - [j48]Yingying Fang, Tieyong Zeng:
Learning deep edge prior for image denoising. Comput. Vis. Image Underst. 200: 103044 (2020) - [j47]Huan Pan, You-Wei Wen, Tieyong Zeng:
Constrained Total Variation Based Three-Dimension Single Particle Reconstruction in Cryogenic Electron Microscopy. J. Sci. Comput. 85(2): 37 (2020) - [j46]Xu Li, Xiaoping Yang, Tieyong Zeng:
A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information. SIAM J. Imaging Sci. 13(3): 1692-1715 (2020) - [j45]Zhi-Feng Pang, Hui-Li Zhang, Shousheng Luo, Tieyong Zeng:
Image denoising based on the adaptive weighted TVp regularization. Signal Process. 167 (2020) - [j44]Yijie Yang, Qiuxiang Zhong, Yuping Duan, Tieyong Zeng:
A weighted bounded Hessian variational model for image labeling and segmentation. Signal Process. 173: 107564 (2020) - [j43]Tingting Wu, Wei Li, Shilong Jia, Yiqiu Dong, Tieyong Zeng:
Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise. IEEE Signal Process. Lett. 27: 1635-1639 (2020) - [j42]Faming Fang, Juncheng Li, Tieyong Zeng:
Soft-Edge Assisted Network for Single Image Super-Resolution. IEEE Trans. Image Process. 29: 4656-4668 (2020) - [j41]Faming Fang, Tingting Wang, Yang Wang, Tieyong Zeng, Guixu Zhang:
Variational Single Image Dehazing for Enhanced Visualization. IEEE Trans. Multim. 22(10): 2537-2550 (2020) - [j40]Faming Fang, Tingting Wang, Tieyong Zeng, Guixu Zhang:
A Superpixel-Based Variational Model for Image Colorization. IEEE Trans. Vis. Comput. Graph. 26(10): 2931-2943 (2020) - [i9]Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-view Learning. CoRR abs/2005.11914 (2020) - [i8]Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, Jean-Michel Morel:
Residual Learning for Effective joint Demosaicing-Denoising. CoRR abs/2009.06205 (2020) - [i7]Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. CoRR abs/2011.00162 (2020) - [i6]Jie Chen, Tingting Zhang, Tieyong Zeng, Qiyu Jin:
Edge Adaptive Hybrid Regularization Model For Image Deblurring. CoRR abs/2011.10260 (2020)
2010 – 2019
- 2019
- [j39]Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng:
A Nonconvex Model with Minimax Concave Penalty for Image Restoration. J. Sci. Comput. 78(2): 1063-1086 (2019) - [j38]Liyuan Chen, Yutian Li, Tieyong Zeng:
Variational Image Restoration and Segmentation with Rician Noise. J. Sci. Comput. 78(3): 1329-1352 (2019) - [j37]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM J. Sci. Comput. 41(6): B1310-B1340 (2019) - [c13]Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng:
Image Smoothing Via Gradient Sparsity and Surface Area Minimization. ICIP 2019: 1114-1118 - [i5]Wing Hong Wong, Yifei Lou, Tieyong Zeng:
Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness. CoRR abs/1904.10157 (2019) - [i4]Xiaohao Cai, Raymond H. Chan, Xiaoyu Xie, Tieyong Zeng:
A Two-stage Classification Method for High-dimensional Data and Point Clouds. CoRR abs/1905.08538 (2019) - [i3]Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng:
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points. CoRR abs/1912.02233 (2019) - 2018
- [j36]Chunxiao Liu, Michael Kwok-Po Ng, Tieyong Zeng:
Weighted variational model for selective image segmentation with application to medical images. Pattern Recognit. 76: 367-379 (2018) - [j35]Huibin Chang, Stefano Marchesini, Yifei Lou, Tieyong Zeng:
Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm. SIAM J. Imaging Sci. 11(1): 56-93 (2018) - [i2]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. CoRR abs/1807.10194 (2018) - 2017
- [j34]Zhi Li, François Malgouyres, Tieyong Zeng:
Regularized Non-local Total Variation and Application in Image Restoration. J. Math. Imaging Vis. 59(2): 296-317 (2017) - [j33]Liyan Ma, Li Xu, Tieyong Zeng:
Low Rank Prior and Total Variation Regularization for Image Deblurring. J. Sci. Comput. 70(3): 1336-1357 (2017) - [j32]Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng:
A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). J. Sci. Comput. 72(3): 1313-1332 (2017) - 2016
- [j31]Liyan Ma, Tieyong Zeng:
Image Deblurring Via Total Variation Based Structured Sparse Model Selection. J. Sci. Comput. 67(1): 1-19 (2016) - [j30]Zhi Li, Yifei Lou, Tieyong Zeng:
Variational Multiplicative Noise Removal by DC Programming. J. Sci. Comput. 68(3): 1200-1216 (2016) - [j29]Fang Li, Tieyong Zeng:
A New Algorithm Framework for Image Inpainting in Transform Domain. SIAM J. Imaging Sci. 9(1): 24-51 (2016) - [j28]Huibin Chang, Yifei Lou, Michael K. Ng, Tieyong Zeng:
Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization. SIAM J. Sci. Comput. 38(6) (2016) - 2015
- [j27]Liyuan Chen, Tieyong Zeng:
A Convex Variational Model for Restoring Blurred Images with Large Rician Noise. J. Math. Imaging Vis. 53(1): 92-111 (2015) - [j26]Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. SIAM J. Imaging Sci. 8(3): 1798-1823 (2015)