Jun Liu - RankMe

47 papers Journal 44Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual-scale volume priors with Wasserstein-based consistency for semi-supervised medical image segmentation. Biomed. Signal Process. Control. Junying Meng, Gangxuan Zhou, Jun Liu, Weihong Guo
2026	J	`jnl`	Frequency-domain multi-regularization-experts fusion for robust non-line-of-sight imaging. Pattern Recognit. Qinghua Zhang, Xi Ling, Yuping Duan, Jun Liu
2026	J	`jnl`	Learnable mixture distribution prior for image denoising. Knowl. Based Syst. Zhuoxiao Li, Faqiang Wang, Li Cui, Jun Liu
2026	J	`jnl`	Topology-Guaranteed Image Segmentation: Enforcing Connectivity, Genus, and Width Constraints. CoRR Wenxiao Li, Xue-Cheng Tai, Jun Liu
2025	J	`jnl`	Adaptive Attention Based on Mixture Distribution for Zero-Shot Non-Line-of-Sight Imaging. IEEE Signal Process. Lett. Qinghua Zhang, Jun Liu, Yuping Duan
2025	J	`jnl`	Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning-Based Image Segmentation. IEEE Trans. Image Process. Shengzhe Chen, Zhaoxuan Dong, Jun Liu
2025	J	`jnl`	Convex Shape Prior for Deep Convolution Neural Network-Based Image Segmentation. J. Math. Imaging Vis. Jun Liu, Kehui Zhang, Xue-Cheng Tai, Shousheng Luo
2025	J	`jnl`	Edge Manipulations for the Maximum Vertex-Weighted Bipartite ACM Trans. Intell. Syst. Technol. Gennaro Auricchio, Jun Liu, Qun Ma, Jie Zhang
2025	J	`jnl`	Regularizing Softmax With Graph Similarity for Enhanced Node Classification in Semisupervised Settings. Int. J. Intell. Syst. Yiming Yang, Jun Liu, Wei Wan
2025	J	`jnl`	Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton With Segment Anything Model. IEEE Trans. Geosci. Remote. Sens. Jun Xie, Wenxiao Li, Faqiang Wang, Liqiang Zhang, Zhengyang Hou, Jun Liu
2024	J	`jnl`	An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport. CoRR Xiang Chen, Faqiang Wang, Jun Liu, Li Cui
2024	J	`jnl`	Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation. SIAM J. Imaging Sci. Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang
2024	J	`jnl`	Double-Well Net for Image Segmentation. Multiscale Model. Simul. Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai
2024	J	`jnl`	Double-well Net for Image Segmentation. CoRR Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai
2024	J	`jnl`	Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising. SIAM J. Imaging Sci. Junying Meng, Faqiang Wang, Jun Liu
2024	J	`jnl`	Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model. CoRR Jun Xie, Wenxiao Li, Faqiang Wang, Liqiang Zhang, Zhengyang Hou, Jun Liu
2023	J	`jnl`	Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model. CoRR Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang
2022	—	`conf`	An adaptive variational model for multireference alignment with mixed noise. BIBM Cuicui Zhao, Jun Liu, Xinqi Gong
2022	J	`jnl`	Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. J. Math. Imaging Vis. Jun Liu, Xiangyue Wang, Xue-Cheng Tai
2022	J	`jnl`	Dual Mixture Model Based CNN for Image Denoising. IEEE Trans. Image Process. Zhuoxiao Li, Faqiang Wang, Li Cui, Jun Liu
2022	J	`jnl`	Image Segmentation with Adaptive Spatial Priors from Joint Registration. CoRR Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie
2022	J	`jnl`	Image Segmentation with Adaptive Spatial Priors from Joint Registration. SIAM J. Imaging Sci. Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie
2021	J	`jnl`	A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise. IEEE Access Cuicui Zhao, Jun Liu, Jie Zhang
2020	J	`jnl`	A Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization. SIAM J. Imaging Sci. Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang
2020	J	`jnl`	Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. CoRR Jun Liu, Xue-Cheng Tai, Shousheng Luo
2020	J	`jnl`	Convexity Shape Prior for Level Set-Based Image Segmentation Method. IEEE Trans. Image Process. Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
2020	J	`jnl`	Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. CoRR Jun Liu, Xiangyue Wang, Xue-Cheng Tai
2020	J	`jnl`	Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Wei Wan, Weihong Guo, Haiyang Huang, Jun Liu
2020	J	`jnl`	Variational-Based Mixed Noise Removal With CNN Deep Learning Regularization. IEEE Trans. Image Process. Faqiang Wang, Haiyang Huang, Jun Liu
2020	J	`jnl`	Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning. J. Vis. Commun. Image Represent. Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
2019	J	`jnl`	A Regularized Convolutional Neural Network for Semantic Image Segmentation. CoRR Fan Jia, Jun Liu, Xue-Cheng Tai
2019	J	`jnl`	Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. J. Sci. Comput. Jun Liu, Stanley J. Osher
2019	J	`jnl`	Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning. CoRR Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
2018	J	`jnl`	Convexity Shape Prior for Level Set based Image Segmentation Method. CoRR Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
2018	J	`jnl`	Normalized Cut with Adaptive Similarity and Spatial Regularization. CoRR Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang
2018	J	`jnl`	Variational based Mixed Noise Removal with CNN Deep Learning Regularization. CoRR Faqiang Wang, Haiyang Huang, Jun Liu
2017	J	`jnl`	Learning a Discriminative Distance Metric With Label Consistency for Scene Classification. IEEE Trans. Geosci. Remote. Sens. Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, Xiaoyue Xing
2014	J	`jnl`	A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions. J. Vis. Commun. Image Represent. Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang
2013	—	`conf`	A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. EMMCVPR Jun Liu, Xue-Cheng Tai, Shingyu Leung
2013	J	`jnl`	A Splitting Algorithm for Image Segmentation on Manifolds Represented by the Grid Based Particle Method. J. Sci. Comput. Jun Liu, Shingyu Leung
2013	J	`jnl`	A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. IEEE Trans. Image Process. Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
2012	J	`jnl`	Expectation-maximization algorithm with total variation regularization for vector-valued image segmentation. J. Vis. Commun. Image Represent. Jun Liu, Yin-Bon Ku, Shingyu Leung
2011	J	`jnl`	A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation. Pattern Recognit. Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
2011	J	`jnl`	Image restoration under mixed noise using globally convex segmentation. J. Vis. Commun. Image Represent. Jun Liu, Zhongdan Huan, Haiyang Huang
2011	—	`conf`	Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. SSVM Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
2010	J	`jnl`	Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise. Int. J. Comput. Vis. Jun Liu, Haiyang Huang, Zhongdan Huan, Haili Zhang
2009	J	`jnl`	An Adaptive Method for Recovering Image from Mixed Noisy Data. Int. J. Comput. Vis. Jun Liu, Zhongdan Huan, Haiyang Huang, Haili Zhang