Rapid Evaluation of Regular Quad-mesh Interpolatory Subdivision Surfaces Based on Parametric Decomposition. - Zhixun Su; Baojun Li; Xiuping Liu; Fengmin Wang (CAD/Graphics, 2007)

Point-Sampled Surface Simulation Based on Mass-Spring System. - Zhixun Su; Xiaojie Zhou; Xiuping Liu; Fengshan Liu; Xiquan Shi (International Conference on Computational Science (2), 2007)

G2 blending of corners by cubic algebraic splines. - Haining Mou; Guohui Zhao; Zhixun Su; Xiuping Liu (Symposium on Solid and Physical Modeling, 2007)

Simultaneous blending of convex polyhedra by S23 algebraic splines. - Haining Mou; Guohui Zhao; Zhirui Wang; Zhixun Su (Comput. Aided Des., 2007)

The Initial Value Problem in Triangular Mesh Parameterization. - Xiquan Shi; Shugao Xia; Fengshan Liu; Zhixun Su (CSC, 2008)

An Efficient Low Stretch Spherical Parameterization. - Jianping Hu; Xiuping Liu; Zhixun Su; Xiquan Shi; Fengshan Liu (CSSE (2), 2008)

A new fuzzy approach for handling class labels in canonical correlation analysis. - Yanyan Liu; Xiuping Liu; Zhixun Su (Neurocomputing, 2008)

Lorentzian Discriminant Projection and Its Applications. - Risheng Liu; Zhixun Su; Zhouchen Lin; Xiaoyu Hou (ACCV (3), 2009)

Mesh denoising based on differential coordinates. - Zhixun Su; Hui Wang 018; Junjie Cao 001 (Shape Modeling International, 2009)

Learning PDEs for Image Restoration via Optimal Control. - Risheng Liu; Zhouchen Lin; Wei Zhang 010; Zhixun Su (ECCV (1), 2010)

Point Cloud Skeletons via Laplacian Based Contraction. - Junjie Cao 001; Andrea Tagliasacchi; Matt Olson; Hao Zhang 002; Zhixun Su (Shape Modeling International, 2010)

Measured boundary parameterization based on Poisson's equation. - Junjie Cao 001; Zhi-xun Su; Xiuping Liu; Hai-chuan Bi (J. Zhejiang Univ. Sci. C, 2010)

Feature extraction by learning Lorentzian metric tensor and its extensions. - Risheng Liu; Zhouchen Lin; Zhixun Su; Kewei Tang (Pattern Recognit., 2010)

Robust head pose estimation via Convex Regularized Sparse Regression. - Hao Ji; Risheng Liu; Fei Su; Zhixun Su; Yan Tian (ICIP, 2011)

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. - Zhouchen Lin; Risheng Liu; Zhixun Su (NIPS, 2011)

Diffusion Tensor Weighted Harmonic Fields for Feature Classification. - Shengfa Wang; Tingbo Hou; Zhixun Su; Hong Qin 001 (PG (Short Papers), 2011)

Orienting raw point sets by global contraction and visibility voting. - Junjie Cao 001; Ying He 001; Zhiyang Li 001; Xiuping Liu; Zhixun Su (Comput. Graph., 2011)

The tight orthogonal homotopic bases of closed oriented triangulated surfaces and their computing. - Shugao Xia; Xiquan Shi; Fengshan Liu; Zhixun Su (Comput. Math. Appl., 2011)

Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering - Risheng Liu; Zhouchen Lin; Siming Wei; Zhixun Su (CoRR, 2011)

Two-view curve reconstruction based on the snake model. - Yu Cai 004; Zhixun Su; Zhilong Li; Riming Sun; Xiuping Liu; Yuandi Zhao (J. Comput. Appl. Math., 2011)

Exact evaluation of limits and tangents for interpolatory subdivision surfaces at rational points. - Baojun Li; Bo Li 023; Xiuping Liu; Zhixun Su; Bowen Yu (J. Comput. Appl. Math., 2011)

Curvature-aware simplification for point-sampled geometry. - Zhi-xun Su; Zhiyang Li 001; Yuan-di Zhao; Junjie Cao 001 (J. Zhejiang Univ. Sci. C, 2011)

Robust optical flow estimation based on brightness correction fields. - Wei Wang 335; Zhixun Su; Jin-shan Pan; Ye Wang 023; Riming Sun (J. Zhejiang Univ. Sci. C, 2011)

Efficient reconstruction of non-simple curves. - Yuan-di Zhao; Junjie Cao 001; Zhi-xun Su; Zhiyang Li 001 (J. Zhejiang Univ. Sci. C, 2011)

Skeleton extraction for tree models. - Zhixun Su; Yuandi Zhao; Chunjiang Zhao 001; Xinyu Guo; Zhiyang Li 001 (Math. Comput. Model., 2011)

Versatile surface detail editing via Laplacian coordinates. - Hui Wang 018; Hongyin Chen; Zhixun Su; Junjie Cao 001; Fengshan Liu; Xiquan Shi (Vis. Comput., 2011)

Multi-scale anisotropic heat diffusion based on normal-driven shape representation. - Shengfa Wang; Tingbo Hou; Zhixun Su; Hong Qin 001 (Vis. Comput., 2011)

Fixed-rank representation for unsupervised visual learning. - Risheng Liu; Zhouchen Lin; Fernando De la Torre; Zhixun Su (CVPR, 2012)

Empirical mode decomposition on surfaces. - Hui Wang 018; Zhixun Su; Junjie Cao 001; Ye Wang 023; Hao Zhang 002 (Graph. Model., 2012)

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. - Risheng Liu; Zhouchen Lin; Zhixun Su (ACML, 2013)

An Adapted Parameterization for Smooth Geometry Images. - Riming Sun; Shengfa Wang; Junjie Cao 001; Bo Li 023; Zhixun Su (CAD/Graphics, 2013)

Saliency detection based on an edge-preserving filter. - Jin-shan Pan; Zhixun Su; Maoran Bian; Risheng Liu (ICIP, 2013)

Object level image saliency by hierarchical segmentation. - Zhenzhen Zhang; Junjie Cao 001; Guangyu Zhong; Wangyi Liu; Zhixun Su (ICIP, 2013)

Hierarchical feature subspace for structure-preserving deformation. - Shengfa Wang; Tingbo Hou; Shuai Li 001; Zhixun Su; Hong Qin 001 (Comput. Aided Des., 2013)

Parallel matrix factorization for low-rank tensor completion. - Yangyang Xu; Ruru Hao; Wotao Yin; Zhixun Su (CoRR, 2013)

Toward designing intelligent PDEs for computer vision: An optimal control approach. - Risheng Liu; Zhouchen Lin; Wei Zhang 010; Kewei Tang; Zhixun Su (Image Vis. Comput., 2013)

Kernel estimation from salient structure for robust motion deblurring. - Jin-shan Pan; Risheng Liu; Zhixun Su; Xianfeng Gu (Signal Process. Image Commun., 2013)

Fast l0 -Regularized Kernel Estimation for Robust Motion Deblurring. - Jin-shan Pan; Zhixun Su (IEEE Signal Process. Lett., 2013)

Anisotropic Elliptic PDEs for Feature Classification. - Tingbo Hou; Shuai Li 001; Zhixun Su; Hong Qin 001; Shengfa Wang (IEEE Trans. Vis. Comput. Graph., 2013)

Saliency Detection via Nonlocal L_0 Minimization. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (ACCV (2), 2014)

L0-Regularized Object Representation for Visual Tracking. - Jin-shan Pan; Jongwoo Lim; Zhixun Su; Ming-Hsuan Yang 001 (BMVC, 2014)

Deblurring Text Images via L0-Regularized Intensity and Gradient Prior. - Jin-shan Pan; Zhe Hu; Zhixun Su; Ming-Hsuan Yang 001 (CVPR, 2014)

Deblurring Face Images with Exemplars. - Jin-shan Pan; Zhe Hu; Zhixun Su; Ming-Hsuan Yang 001 (ECCV (7), 2014)

Spectral global intrinsic symmetry invariant functions. - Hui Wang 018; Patricio D. Simari; Zhixun Su; Hao Zhang 002 (Graphics Interface, 2014)

Incremental robust local dictionary learning for visual tracking. - Shanshan Bai; Risheng Liu; Zhixun Su; Changcheng Zhang; Wei Jin 008 (ICME, 2014)

Robust visual tracking using latent subspace projection pursuit. - Wei Jin 008; Risheng Liu; Zhixun Su; Changcheng Zhang; Shanshan Bai (ICME, 2014)

Motion blur kernel estimation via salient edges and low rank prior. - Jin-shan Pan; Risheng Liu; Zhixun Su; Guili Liu (ICME, 2014)

Efficient shape representation and retrieval in large database. - Zhiyang Li 001; Wenyu Qu; Yujie Xu; Junjie Cao 001; Zhixun Su (Comput. Syst. Sci. Eng., 2014)

Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking. - Risheng Liu; Wei Jin 008; Zhixun Su; Changcheng Zhang (IEEE Multim., 2014)

Linear time Principal Component Pursuit and its extensions using ℓ1 filtering. - Risheng Liu; Zhouchen Lin; Zhixun Su; Junbin Gao (Neurocomputing, 2014)

Robust visual tracking via incremental low-rank features learning. - Changcheng Zhang; Risheng Liu; Tianshuang Qiu; Zhixun Su (Neurocomputing, 2014)

Normal-controlled coordinates based feature-preserving mesh editing. - Shengfa Wang; Yu Cai 004; Zhiling Yu; Junjie Cao 001; Zhixun Su (Multim. Tools Appl., 2014)

Learning Markov random walks for robust subspace clustering and estimation. - Risheng Liu; Zhouchen Lin; Zhixun Su (Neural Networks, 2014)

Structure-Constrained Low-Rank Representation. - Kewei Tang; Risheng Liu; Zhixun Su; Jie Zhang 056 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Visual tracking via orthogonal sparse coding. - Jing Wang; Yiyang Wang 001; Risheng Liu; Zhixun Su (ICIP, 2015)

Robust visual tracking via discriminative sequential ranking. - Guangyu Zhong; Risheng Liu; Zhixun Su (ICIP, 2015)

Multi-scale mesh saliency based on low-rank and sparse analysis in shape feature space. - Shengfa Wang; Nannan Li 002; Shuai Li 001; Zhongxuan Luo; Zhixun Su; Hong Qin 001 (Comput. Aided Geom. Des., 2015)

Robust visual tracking via L0 regularized local low-rank feature learning. - Risheng Liu; Shanshan Bai; Zhixun Su; Changcheng Zhang; Chunhai Sun (J. Electronic Imaging, 2015)

Diffuse visual attention for saliency detection. - Risheng Liu; Guangyu Zhong; Junjie Cao 001; Zhixun Su (J. Electronic Imaging, 2015)

Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (AAAI, 2016)

Sparse Gradient Pursuit for Robust Visual Analysis. - Jiangxin Dong; Risheng Liu; Kewei Tang; Yiyang Wang 001; Xindong Zhang; Zhixun Su (ACCV (1), 2016)

Debluring Low-Resolution Images. - Jin-shan Pan; Zhe Hu; Zhixun Su; Ming-Hsuan Yang 001 (ACCV Workshops (1), 2016)

Subspace Learning Based Low-Rank Representation. - Kewei Tang; Xiaodong Liu 001; Zhixun Su; Wei Jiang 007; Jiangxin Dong (ACCV (1), 2016)

Soft-Segmentation Guided Object Motion Deblurring. - Jin-shan Pan; Zhe Hu; Zhixun Su; Hsin-Ying Lee 001; Ming-Hsuan Yang 001 (CVPR, 2016)

Robust Kernel Estimation with Outliers Handling for Image Deblurring. - Jin-shan Pan; Zhouchen Lin; Zhixun Su; Ming-Hsuan Yang 001 (CVPR, 2016)

Sparse Coding and Counting for Robust Visual Tracking. - Risheng Liu; Jing Wang; Yiyang Wang 001; Zhixun Su; Yu Cai 004 (CoRR, 2016)

Subspace segmentation by dense block and sparse representation. - Kewei Tang; David B. Dunson; Zhixun Su; Risheng Liu; Jie Zhang 056; Jiangxin Dong (Neural Networks, 2016)

Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering. - Kewei Tang; Jie Zhang 056; Zhixun Su; Jiangxin Dong (Neural Process. Lett., 2016)

Generalized Local-to-Global Shape Feature Detection Based on Graph Wavelets. - Nannan Li 002; Shengfa Wang; Ming Zhong 007; Zhixun Su; Hong Qin 001 (IEEE Trans. Vis. Comput. Graph., 2016)

Harmonic mean normalized Laplace-Beltrami spectral descriptor. - Yusong Liu; Zhixun Su; Junjie Cao 001; Hui Wang 018 (Vis. Comput., 2016)

A generalized nonlocal mean framework with object-level cues for saliency detection. - Guangyu Zhong; Risheng Liu; Junjie Cao 001; Zhixun Su (Vis. Comput., 2016)

Blind Image Deblurring with Outlier Handling. - Jiangxin Dong; Jinshan Pan; Zhixun Su; Ming-Hsuan Yang 001 (ICCV, 2017)

Learning Discriminative Data Fitting Functions for Blind Image Deblurring. - Jinshan Pan; Jiangxin Dong; Yu-Wing Tai; Zhixun Su; Ming-Hsuan Yang 001 (ICCV, 2017)

Deep feature matching for dense correspondence. - Yang Liu 119; Jinshan Pan; Zhixun Su (ICIP, 2017)

Learning an Alternating Bergman Network for Non-convex and Non-smooth Optimization Problems. - Yiyang Wang 001; Risheng Liu; Zhixun Su (IScIDE, 2017)

Blind Image Deblurring via Salient Structure Detection and Sparse Representation. - Yu Cai 004; Jinshan Pan; Zhixun Su (PSIVT Workshops, 2017)

An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (CoRR, 2017)

L0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond. - Jin-shan Pan; Zhe Hu; Zhixun Su; Ming-Hsuan Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Blur kernel estimation via salient edges and low rank prior for blind image deblurring. - Jiangxin Dong; Jin-shan Pan; Zhixun Su (Signal Process. Image Commun., 2017)

A nonlocal L0 model with regression predictor for saliency detection and extension. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (Vis. Comput., 2017)

Learning Data Terms for Non-blind Deblurring. - Jiangxin Dong; Jinshan Pan; Deqing Sun; Zhixun Su; Ming-Hsuan Yang 001 (ECCV (11), 2018)

Single Image Dehazing Via a Joint Deep Modeling. - Yimin Huang; Yiyang Wang 001; Zhixun Su (ICIP, 2018)

Learning Video-Story Composition via Recurrent Neural Network. - Guangyu Zhong; Yi-Hsuan Tsai; Sifei Liu; Zhixun Su; Ming-Hsuan Yang 001 (WACV, 2018)

Blind image deblurring using elastic-net based rank prior. - Hongyan Wang; Jin-shan Pan; Zhixun Su; Songxin Liang (Comput. Vis. Image Underst., 2018)

A Nonuniform Method for Extracting Attractive Structures From Images. - Yiyang Wang 001; Zhiying Jiang; Zhixun Su (Int. J. Grid High Perform. Comput., 2018)

A patch-based low-rank tensor approximation model for multiframe image denoising. - Ruru Hao; Zhixun Su (J. Comput. Appl. Math., 2018)

Learning Deep Priors for Image Dehazing. - Yang Liu 119; Jinshan Pan; Jimmy S. J. Ren; Zhixun Su (ICCV, 2019)

Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Zhixun Su; Wei Jiang 007; Xiaonan Luo; Xiyan Sun (ICCV Workshops, 2019)

Non-Rigid 3D Shape Retrieval Based on Multi-view Metric Learning. - Haohao Li; Shengfa Wang; Nannan Li 002; Zhixun Su; Ximin Liu (ICME Workshops, 2019)

Embedding Non-Local Mean in Squeeze-and-Excitation Network for Single Image Deraining. - Cong Wang 018; Hongyan Wang; Zhixun Su; Yan Yang (ICME Workshops, 2019)

Deep Blind Image Inpainting. - Yang Liu 119; Jinshan Pan; Zhixun Su (IScIDE (1), 2019)

Structure-Preserving Guided Image Filtering. - Hongyan Wang; Zhixun Su; Songxin Liang (IScIDE (1), 2019)

Multiview Dimension Reduction Based on Sparsity Preserving Projections. - Haohao Li; Yu Cai 004; Guohui Zhao; Hu Lin; Zhixun Su; Ximin Liu (PSIVT, 2019)

From Coarse to Fine: A Stage-Wise Deraining Net. - Cong Wang 018; Man Zhang; Zhixun Su; Guangle Yao; Yan Wang; Xiyan Sun; Xiaonan Luo (IEEE Access, 2019)

Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes. - Nannan Li 002; Shengfa Wang; Risheng Liu; Ziqiao Guan; Zhixun Su; Zhongxuan Luo; Hong Qin 001 (Comput. Aided Geom. Des., 2019)

Edge-preserving filter with adaptive L0 gradient optimization. - Wanshu Fan; Zhixun Su; Hongyan Wang; Nannan Li 002; Xuan Wang (Int. J. Distributed Sens. Networks, 2019)

Single image rain removal via densely connected contextual and semantic correlation net. - Cong Wang 018; Man Zhang; Jinshan Pan; Zhixun Su (J. Electronic Imaging, 2019)

Superpixels for large dataset subspace clustering. - Kewei Tang; Zhixun Su; Wei Jiang 007; Jie Zhang 056 (Neural Comput. Appl., 2019)

Robust subspace learning-based low-rank representation for manifold clustering. - Kewei Tang; Zhixun Su; Wei Jiang 007; Jie Zhang 056; Xiyan Sun; Xiaonan Luo (Neural Comput. Appl., 2019)

Bayesian rank penalization. - Kewei Tang; Zhixun Su; Jie Zhang 056; Lihong Cui; Wei Jiang 007; Xiaonan Luo; Xiyan Sun (Neural Networks, 2019)

Subspace segmentation with a large number of subspaces using infinity norm minimization. - Kewei Tang; Zhixun Su; Yang Liu 119; Wei Jiang 007; Jie Zhang 056; Xiyan Sun (Pattern Recognit., 2019)

Learning a multi-level guided residual network for single image deraining. - Cong Wang 018; Man Zhang; Zhixun Su; Yutong Wu 002; Guangle Yao; Hongyan Wang (Signal Process. Image Commun., 2019)

Physical Model Guided Deep Image Deraining. - Honghe Zhu; Cong Wang 018; Yajie Zhang; Zhixun Su; Guohui Zhao (ICME, 2020)

Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. - Cong Wang 018; Yutong Wu 002; Zhixun Su; Junyang Chen 001 (ACM Multimedia, 2020)

DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. - Cong Wang 018; Xiaoying Xing; Yutong Wu 002; Zhixun Su; Junyang Chen 001 (ACM Multimedia, 2020)

Local Connectivity Enhanced Sparse Representation. - Kewei Tang; Liying Cao; Jinhong Li; Xingxuan Peng; Zhixun Su; Xiyan Sun; Xiaonan Luo (IEEE Access, 2020)

Single image deraining via nonlocal squeeze-and-excitation enhancing network. - Cong Wang 018; Wanshu Fan; Honghe Zhu; Zhixun Su (Appl. Intell., 2020)

Single image deraining via deep pyramid network with spatial contextual information aggregation. - Cong Wang 018; Yutong Wu 002; Yu Cai 004; Guangle Yao; Zhixun Su; Hongyan Wang (Appl. Intell., 2020)

Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian. - Haohao Li; Zhixun Su; Nannan Li 002; Ximin Liu; Shengfa Wang; Zhongxuan Luo (Comput. Aided Geom. Des., 2020)

DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. - Cong Wang 018; Xiaoying Xing; Zhixun Su; Junyang Chen 001 (CoRR, 2020)

Weakly supervised single image dehazing. - Cong Wang 018; Wanshu Fan; Yutong Wu 002; Zhixun Su (J. Vis. Commun. Image Represent., 2020)

Densely connected multi-scale de-raining net. - Cong Wang 018; Man Zhang; Zhixun Su; Guangle Yao (Multim. Tools Appl., 2020)

Robust dense correspondence using deep convolutional features. - Yang Liu 119; Jinshan Pan; Zhixun Su; Kewei Tang (Vis. Comput., 2020)

Dense Feature Pyramid Grids Network for Single Image Deraining. - Zhen Wang; Cong Wang 018; Zhixun Su; Junyang Chen 001 (ICASSP, 2021)

Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer. - Yang Liu 119; Ziyu Yue; Jinshan Pan; Zhixun Su (ICCV, 2021)

Autoweighted multi-view smooth representation preserve projection for dimensionality reduction. - Haohao Li; Zhixun Su; Huibing Wang; Ximin Liu (J. Electronic Imaging, 2021)

Cascading and Enhanced Residual Networks for Accurate Single-Image Super-Resolution. - Rushi Lan; Long Sun; Zhenbing Liu; Huimin Lu 001; Zhixun Su; Cheng Pang; Xiaonan Luo (IEEE Trans. Cybern., 2021)

Single image deraining via deep shared pyramid network. - Cong Wang 018; Xiaoying Xing; Guangle Yao; Zhixun Su (Vis. Comput., 2021)

Latent Tangent Space Representation for Normal Estimation. - Junjie Cao 001; Hairui Zhu; Yunpeng Bai; Jun Zhou 023; Jinshan Pan; Zhixun Su (IEEE Trans. Ind. Electron., 2022)

Single Image Dehazing with Deep-Image-Prior Networks. - Hongyan Wang; Xin Wang; Zhixun Su (ICIG (3), 2023)

LAPRNet: Lightweight Airborne Particle Removal Network for LiDAR Point Clouds. - Yanqi Ma; Ziyu Yue; Youwei Wang; Risheng Liu; Zhixun Su; Junjie Cao 001 (PSIVT, 2023)

A Brand-New Simple, Fast, and Effective Residual-Based Method for Radial Basis Function Neural Networks Training. - Lifei Sun; Sen Li; Hailong Liu; Changkai Sun; Liping Qi; Zhixun Su; Changsen Sun (IEEE Access, 2023)

Real-World Denoising via Diffusion Model. - Cheng Yang; Lijing Liang; Zhixun Su (CoRR, 2023)

Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration. - Liyan Wang; Qinyu Yang; Cong Wang 018; Wei Wang 335; Jinshan Pan; Zhixun Su (CoRR, 2023)

Deep multi-view subspace clustering via structure-preserved multi-scale features fusion. - Kaiqiang Xu; Kewei Tang; Zhixun Su (Neural Comput. Appl., 2023)

Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Wei Jiang 007; Zhixun Su; Xiyan Sun; Xiaonan Luo (IEEE Trans. Knowl. Data Eng., 2023)

SMPR: Single-stage multi-person pose regression. - Huixin Miao; Junqi Lin; Junjie Cao 001; Xiaoguang He; Zhixun Su; Risheng Liu (Pattern Recognit., 2023)

Multi-view subspace clustering via consistent and diverse deep latent representations. - Kewei Tang; Kaiqiang Xu; Zhixun Su; Nan Zhang (Inf. Sci., 2023)

Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement. - Ziyu Yue; Jiaxin Gao; Zhixun Su (AAAI, 2024)

Noise Calibration: Plug-and-Play Content-Preserving Video Enhancement Using Pre-trained Video Diffusion Models. - Qinyu Yang; Hao Chen 011; Yong Zhang 034; Menghan Xia; Xiaodong Cun; Zhixun Su; Ying Shan (ECCV (36), 2024)

LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow. - Ziyu Yue; Jiaxin Gao; Sihan Xie; Yang Liu 119; Zhixun Su (CoRR, 2024)

Ultra-High-Definition Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution. - Liyan Wang; Cong Wang 018; Jinshan Pan; Weixiang Zhou; Xiaoran Sun; Wei Wang 335; Zhixun Su (CoRR, 2024)

Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models. - Qinyu Yang; Haoxin Chen; Yong Zhang 034; Menghan Xia; Xiaodong Cun; Zhixun Su; Ying Shan (CoRR, 2024)

Coarse-to-fine mechanisms mitigate diffusion limitations on image restoration. - Liyan Wang; Qinyu Yang; Cong Wang 018; Wei Wang 335; Zhixun Su (Comput. Vis. Image Underst., 2024)

Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering. - Kaiqiang Xu; Kewei Tang; Zhixun Su; Hongchen Tan (Expert Syst. Appl., 2024)

Real-world image denoising via efficient diffusion model with controllable noise generation. - Cheng Yang; Cong Wang 018; Lijing Liang; Zhixun Su (J. Electronic Imaging, 2024)

Multi-view deep subspace clustering via level-by-level guided multi-level features learning. - Kaiqiang Xu; Kewei Tang; Zhixun Su (Appl. Intell., 2024)

PIAD: Pose and Illumination agnostic Anomaly Detection. - Kaichen Yang; Junjie Cao 001; Zeyu Bai; Zhixun Su; Andrea Tagliasacchi (CVPR, 2025)

Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey. - Liyan Wang; Weixiang Zhou; Cong Wang 018; Kin-Man Lam 001; Zhixun Su; Jinshan Pan (CoRR, 2025)

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration. - Cheng Yang; Lijing Liang; Zhixun Su (CoRR, 2025)

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement. - Xiaoran Sun; Liyan Wang; Cong Wang 018; Yeying Jin; Kin-Man Lam 001; Zhixun Su; Yang Yang 009; Jinshan Pan (CoRR, 2025)