Jun Zhang

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 10

Top Topics

Depth Estimation

Artifact Reduction

Inverse Problems

Top Venues

Medical Imaging: Image Processing

Pattern Recognit.

IEEE Trans. Circuits Syst. Video Technol.

Sci. China Inf. Sci.

Publications

Masaki Ikuta, Jun Zhang
A Deep Convolutional Gated Recurrent Unit for CT Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Masaki Ikuta, Jun Zhang
A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction. Medical Imaging: Image Processing (2022)
Masaki Ikuta, Jun Zhang
A Deep Recurrent Neural Network With FISTA Optimization for CT Metal Artifact Reduction. IEEE Trans. Computational Imaging 8 (2022)
Masaki Ikuta, Jun Zhang
TextureWGAN: texture preserving WGAN with MLE regularizer for inverse problems. Medical Imaging: Image Processing (2021)
Hao Sheng, Yang Zhang, Jiahui Chen, Zhang Xiong, Jun Zhang
Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29 (11) (2019)
Shuo Zhang, Hao Sheng, Da Yang, Jun Zhang, Zhang Xiong
Micro-Lens-Based Matching for Scene Recovery in Lenslet Cameras. IEEE Trans. Image Process. 27 (3) (2018)
Yingying Gu, Jun Zhang, Ping Xue
Multi-grid nonlocal techniques for x-ray scatter correction. Medical Imaging: Image Processing (2018)
Hao Sheng, Pan Zhao, Shuo Zhang, Jun Zhang, Da Yang
Occlusion-aware depth estimation for light field using multi-orientation EPIs. Pattern Recognit. 74 (2018)
Yingying Gu, Jun Zhang, Ping Xue
Scatter correction by non-local techniques. Medical Imaging: Image Processing (2017)
Shuo Zhang, Hao Sheng, Chao Li, Jun Zhang, Zhang Xiong
Robust depth estimation for light field via spinning parallelogram operator. Comput. Vis. Image Underst. 145 (2016)
Yanwei Zheng, Hao Sheng, Beichen Zhang, Jun Zhang, Zhang Xiong
Weight-based sparse coding for multi-shot person re-identification. Sci. China Inf. Sci. 58 (10) (2015)
Yingying Gu, Christopher Kallas, Jun Zhang, James Marx, Judy Tjoe
Automatic Patient Search Using Bernoulli Model. ICHI (2013)
Jun Zhang, Jun Wang, Guangwu Xu, Jean-Baptiste Thibault
Multi-slice and multi-frame image reconstruction by predictive compressed sensing. Medical Imaging: Image Processing (2012)
Ivko Cvejic, Jun Zhang, James Marx, Judy Tjoe
Automated search for patient records: classification of free-text medical reports using conditional random fields. IHI (2012)
Jun Zhang, Weisong Liu, Yirong Wu
Novel Technique for Vision-Based UAV Navigation. IEEE Trans. Aerosp. Electron. Syst. 47 (4) (2011)
Jun Zhang, Yingying Gu, Weisong Liu, Wen Hu, Tian Zhao, Xiangming Mu, James Marx, Floyd Frost, Judy Tjoe
Automatic patient search for breast cancer clinical trials using free-text medical reports. IHI (2010)
Jun Zhang, Jun Wang, Guangwu Xu
Relations between $\beta$ and $\delta$ for QP and LP in Compressed Sensing Computations CoRR (2010)
T. Tony Cai, Guangwu Xu, Jun Zhang
On recovery of sparse signals via l1 minimization. IEEE Trans. Inf. Theory 55 (7) (2009)
T. Tony Cai, Guangwu Xu, Jun Zhang
Minimization CoRR (2008)
Jun Zhang, Dehong Ma
Nonlinear prediction for Gaussian mixture image models. IEEE Trans. Image Process. 13 (6) (2004)
Jun Zhang, X. Zhang, Hamid Krim, Gilbert G. Walter
Object representation and recognition in shape spaces. Pattern Recognit. 36 (5) (2003)
Jiangchuan Liu, Qian Zhang, Bo Li, Wenwu Zhu, Jun Zhang
A unified framework for resource discovery and QoS-aware provider selection in ad hoc networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 6 (1) (2002)
Jiangchuan Liu, Qian Zhang, Wenwu Zhu, Jun Zhang, Bin Li
A novel framework for QoS-aware resource discovery in mobile ad hoc networks. ICC (2002)
Weisong Liu, Jun Zhang
Image sequence segmentation using curve evolution and improved background subtraction. Visual Information Processing (2001)
Jun Zhang, Jianbo Gao, Weisong Liu
Image sequence segmentation using 3-D structure tensor and curve evolution. IEEE Trans. Circuits Syst. Video Technol. 11 (5) (2001)
Jianbo Gao, Jun Zhang, Matthew G. Fleming
A Novel Multiresolution Color Image Segmentation Technique and its Application to Dermatoscopic Image Segmentation. ICIP (2000)
Jun Zhang, Jianbo Gao, Jiangchuan Liu
Figure-ground separation by a dynamical system. IEEE Trans. Image Process. 8 (1) (1999)
Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang
Regularized total least squares approach for nonconvolutional linear inverse problems. IEEE Trans. Image Process. 8 (11) (1999)
Jun Zhang, Dongyan Wang
Image segmentation by multigrid Markov random field optimization and perceptual considerations. J. Electronic Imaging 7 (1) (1998)
David A. Langan, James W. Modestino, Jun Zhang
Cluster validation for unsupervised stochastic model-based image segmentation. IEEE Trans. Image Process. 7 (2) (1998)
Jun Zhang, Dongyan Wang, Que N. Tran
A wavelet-based multiresolution statistical model for texture. IEEE Trans. Image Process. 7 (11) (1998)
Jianbo Gao, Jun Zhang, Matthew G. Fleming, Ilya Pollak, Armand B. Cognetta Jr.
Segmentation of Dermatoscopic Images by Stabilized Inverse Diffusion Equations. ICIP (3) (1998)
Gilbert G. Walter, Jun Zhang
Orthonormal wavelets with simple closed-form expressions. IEEE Trans. Signal Process. 46 (8) (1998)
Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang
Regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient Method. ICIP (1) (1997)
Jun Zhang
The convergence of mean field procedures for MRFs [image processing]. IEEE Trans. Image Process. 5 (12) (1996)
Jun Zhang
The application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields. IEEE Trans. Image Process. 5 (7) (1996)
Jun Zhang, Gerald G. Hanauer
The application of mean field theory to image motion estimation. IEEE Trans. Image Process. 4 (1) (1995)
Jun Zhang, Gilbert G. Walter, Y. Miao, Wan Ngai Wayne Lee
Wavelet neural networks for function learning. IEEE Trans. Signal Process. 43 (6) (1995)
Jun Zhang, Jianhua Lin
Figure-ground separation by a neural dynamical system. ICIP (1995)
Jun Zhang
Parameter reduction for the compound Gauss-Markov model. IEEE Trans. Image Process. 4 (3) (1995)
David A. Langan, James W. Modestino, Jun Zhang
Cluster Validation for Unsupervised Stochastic Model-Based Image Segmentation. ICIP (2) (1994)
Jun Zhang, James W. Modestino, David A. Langan
Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation. IEEE Trans. Image Process. 3 (4) (1994)
Gilbert G. Walter, Jun Zhang
Wavelets based on band-limited processes with a K-L type property. Visual Information Processing (1993)
Jun Zhang
The mean field theory in EM procedures for blind Markov random field image restoration. IEEE Trans. Image Process. 2 (1) (1993)
David A. Langan, Karl J. Molnar, James W. Modestino, Jun Zhang
Use of the mean-field approximation in an EM-based approach to unsupervised stochastic model-based image segmentation. ICASSP (1992)
James W. Modestino, Jun Zhang
A Markov Random Field Model-Based Approach to Image Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 14 (6) (1992)
Jun Zhang, James W. Modestino
A Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 12 (10) (1990)
James W. Modestino, Jun Zhang
A Markov random field model-based approach to image interpretation. CVPR (1989)
Jun Zhang, James W. Modestino
A model-fitting approach to cluster validation with application to stochastic model-based image segmentation. ICASSP (1988)