no code implementations • 11 Feb 2025 • Qingsong Wang, Shengze Xu, Xiaojiao Tong, Tieyong Zeng
Image deblurring remains a central research area within image processing, critical for its role in enhancing image quality and facilitating clearer visual representations across diverse applications.
no code implementations • 6 Dec 2024 • Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan
Integrating invariance into data representations is a principled design in intelligent systems and web applications.
no code implementations • 17 Nov 2024 • Tingting Wu, Ruyi Min, Peixuan Song, Hengtao Guo, Tieyong Zeng, Feng-Lei Fan
The accurate segmentation of retinal blood vessels plays a crucial role in the early diagnosis and treatment of various ophthalmic diseases.
no code implementations • 16 Oct 2024 • Yang Liu, Yaofang Liu, Jinshan Pan, Yuxiang Hui, Fan Jia, Raymond H. Chan, Tieyong Zeng
To solve this problem, we propose a SRRIIE dataset with an efficient conditional diffusion probabilistic models-based method.
1 code implementation • 4 Oct 2024 • Yaofang Liu, Yumeng Ren, Xiaodong Cun, Aitor Artola, Yang Liu, Tieyong Zeng, Raymond H. Chan, Jean-Michel Morel
Diffusion models have revolutionized image generation, and their extension to video generation has shown promise.
no code implementations • 12 Sep 2024 • Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng
Color image restoration methods typically represent images as vectors in Euclidean space or combinations of three monochrome channels.
1 code implementation • 1 Sep 2024 • Fenglei Fan, Juntong Fan, Dayang Wang, Jingbo Zhang, Zelin Dong, Shijun Zhang, Ge Wang, Tieyong Zeng
The rapid growth of large models' size has far outpaced that of GPU memory.
no code implementations • 13 Aug 2024 • Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng
Sparse view computed tomography (CT) reconstruction poses a challenging ill-posed inverse problem, necessitating effective regularization techniques.
no code implementations • 12 Jul 2024 • Qianchao Wang, Shijun Zhang, Dong Zeng, Zhaoheng Xie, Hengtao Guo, Feng-Lei Fan, Tieyong Zeng
In this paper, we propose a new super-expressive activation function called the Parametric Elementary Universal Activation Function (PEUAF).
1 code implementation • 3 May 2024 • Feng-Lei Fan, Meng Wang, Hang-Cheng Dong, Jianwei Ma, Tieyong Zeng
First, symbolic regression is used to identify optimal formulas that fit input data by utilizing base functions such as logarithmic, trigonometric, and exponential functions.
no code implementations • 6 Mar 2024 • Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng
The main objective of the Multiple Kernel k-Means (MKKM) algorithm is to extract non-linear information and achieve optimal clustering by optimizing base kernel matrices.
no code implementations • 2 Mar 2024 • Chaoyan Huang, Zhongming Wu, Tieyong Zeng
To overcome this limitation, we introduce a simple yet effective Retinex model with the proposed edge extraction prior.
no code implementations • CVPR 2024 • Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Tieyong Zeng
Deep learning has led to a dramatic leap on Single Image Super-Resolution (SISR) performances in recent years.
no code implementations • 26 Jan 2024 • Yuxiang Hui, Yang Liu, Yaofang Liu, Fan Jia, Jinshan Pan, Raymond Chan, Tieyong Zeng
Video restoration task aims to recover high-quality videos from low-quality observations.
no code implementations • 10 Dec 2023 • Cheng Chang, Zhouping Xin, Tieyong Zeng
However, when the spatial dimension is one, the original curl-free relaxation component is inapplicable, and the approximation formula for dummy variables, which works well in a 2-dimensional scenario, fails to provide a reasonable output in the 1-dimensional case.
1 code implementation • 2 Nov 2023 • Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang
Specifically, our information bottleneck module serves to filter out the task-irrelevant information and noises in the fused feature, and we further introduce a sufficiency loss to prevent dropping of task-relevant information, thus explicitly preserving the sufficiency of prediction information in the distilled feature.
no code implementations • 30 Oct 2023 • Tingting Wu, Zhiyan Du, Zhi Li, Feng-Lei Fan, Tieyong Zeng
However, we empirically find that VDIP struggles with processing image details and tends to generate suboptimal results when the blur kernel is large.
1 code implementation • CVPR 2024 • Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond Chan, Ying Shan
For video generation, various open-sourced models and public-available services have been developed to generate high-quality videos.
1 code implementation • 15 Aug 2023 • Juntong Fan, Debesh Jha, Tieyong Zeng, Dayang Wang
Polyps segmentation poses a significant challenge in medical imaging due to the flat surface of polyps and their texture similarity to surrounding tissues.
1 code implementation • 31 Jul 2023 • Jing-Xiao Liao, Sheng-Lai Wei, Chen-Long Xie, Tieyong Zeng, Jinwei Sun, Shiping Zhang, Xiaoge Zhang, Feng-Lei Fan
To the best of our knowledge, this is the first instance of deploying a CNN-based bearing fault diagnosis model on an FPGA.
no code implementations • 16 May 2023 • Feng-Lei Fan, Wei Huang, Xiangru Zhong, Lecheng Ruan, Tieyong Zeng, Huan Xiong, Fei Wang
Also, by characterizing the shape of polytopes, the number of faces can be a novel leverage for other problems, \textit{e. g.}, serving as a generic tool to explain the power of popular shortcut networks such as ResNet and analyzing the impact of different regularization strategies on a network's space partition.
1 code implementation • 13 May 2023 • Yiming Cui, Lecheng Ruan, Hang-Cheng Dong, Qiang Li, Zhongming Wu, Tieyong Zeng, Feng-Lei Fan
We prove a theorem to explain why Cloud-RAIN can enjoy reflection symmetry.
no code implementations • 11 May 2023 • Feng-Lei Fan, Ze-Yu Li, Huan Xiong, Tieyong Zeng
In this work, beyond width and depth, we augment a neural network with a new dimension called height by intra-linking neurons in the same layer to create an intra-layer hierarchy, which gives rise to the notion of height.
1 code implementation • 28 Apr 2023 • Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing
The recent PAC-Bayes IB uses information complexity instead of information compression to establish a connection with the mutual information generalization bound.
1 code implementation • 22 Apr 2023 • Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng
To solve this problem, we propose a lightweight and accurate Edge Attention MRI Reconstruction Network (EAMRI) to reconstruct images with edge guidance.
no code implementations • 13 Apr 2023 • Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Tieyong Zeng
Transformer-based image denoising methods have achieved encouraging results in the past year.
no code implementations • 29 Mar 2023 • Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
In this paper, we propose a randomly projected convex clustering model for clustering a collection of $n$ high dimensional data points in $\mathbb{R}^d$ with $K$ hidden clusters.
no code implementations • 24 Mar 2023 • Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng
Stereo image super-resolution aims to boost the performance of image super-resolution by exploiting the supplementary information provided by binocular systems.
1 code implementation • 11 Mar 2023 • Feng-Lei Fan, Hang-Cheng Dong, Zhongming Wu, Lecheng Ruan, Tieyong Zeng, Yiming Cui, Jing-Xiao Liao
In this paper, with theoretical and empirical studies, we show that quadratic networks enjoy parametric efficiency, thereby confirming that the superior performance of quadratic networks is due to the intrinsic expressive capability.
no code implementations • 14 Feb 2023 • Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan
Specifically, CM can obtain the optimal merging and estimate the correct k. By integrating these two techniques with K-Means algorithm, the proposed MCKM is an efficient and explainable clustering algorithm for escaping the undesirable local minima of K-Means problem without given k first.
no code implementations • 27 Jan 2023 • Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang
HP-ALF can perceive the image information in the hierarchical mechanism: image-level perception and patch-level perception.
no code implementations • 23 Jan 2023 • Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang
In the human brain, neuronal diversity is an enabling factor for all kinds of biological intelligent behaviors.
no code implementations • 15 Jan 2023 • Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, M. D., Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li
The accurate detection of sperms and impurities is a very challenging task, facing problems such as the small size of targets, indefinite target morphologies, low contrast and resolution of the video, and similarity of sperms and impurities.
1 code implementation • ICCV 2023 • Pengcheng Lei, Faming Fang, Guixu Zhang, Tieyong Zeng
We thus build a model to reconstruct the target image and decompose the reference image as a common component and a unique component.
no code implementations • 11 Oct 2022 • Tingting Wu, Wenna Wu, Ying Yang, Feng-Lei Fan, Tieyong Zeng
In this paper, using a sequential Retinex decomposition strategy, we design a plug-and-play framework based on the Retinex theory for simultaneously image enhancement and noise removal.
no code implementations • CVPR 2023 • Xiaole Tang, XiLe Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng
To address this challenge, we suggest a dataset-free deep residual prior for the kernel induced error (termed as residual) expressed by a customized untrained deep neural network, which allows us to flexibly adapt to different blurs and images in real scenarios.
no code implementations • 29 Sep 2022 • Jianfei Li, Chaoyan Huang, Raymond Chan, Han Feng, Micheal Ng, Tieyong Zeng
Spherical image processing has been widely applied in many important fields, such as omnidirectional vision for autonomous cars, global climate modelling, and medical imaging.
no code implementations • 11 Jul 2022 • Bodong Cheng, Juncheng Li, Ying Chen, Shuyi Zhang, Tieyong Zeng
Recently, some methods have been proposed for snow removing, and most methods deal with snow images directly as the optimization object.
1 code implementation • 27 Jun 2022 • Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Tieyong Zeng
We consider stochastic convex optimization for heavy-tailed data with the guarantee of being differentially private (DP).
no code implementations • 13 May 2022 • Cheng Chang, Tieyong Zeng
The proposed model learns from both data and physics constraints through the training of a deep neural network, which serves as part of the covariance function in GPR.
no code implementations • 29 Apr 2022 • Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang
Single image denoising (SID) has achieved significant breakthroughs with the development of deep learning.
1 code implementation • 28 Apr 2022 • Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng
Single-image super-resolution (SISR) has achieved significant breakthroughs with the development of deep learning.
no code implementations • 21 Apr 2022 • Jianwei Niu, Hok Shing Wong, Tieyong Zeng
Phase retrieval is an important problem with significant physical and industrial applications.
1 code implementation • 19 Apr 2022 • Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi
Then, we design an efficient Feature Refinement Module (FRM) to enhance the encoded features.
no code implementations • CVPR 2022 • Meina Zhang, Yingying Fang, Guoxi Ni, Tieyong Zeng
Blind deblurring has attracted much interest with its wide applications in reality.
no code implementations • 3 Nov 2021 • Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, XiZhao Wang
This paper provides a comprehensive review of epistemic uncertainty learning techniques in supervised learning over the last five years.
1 code implementation • 29 Sep 2021 • Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng
This is an exhaustive survey of SISR, which can help researchers better understand SISR and inspire more exciting research in this field.
1 code implementation • 25 Aug 2021 • Zhisheng Lu, Juncheng Li, Hong Liu, Chaoyan Huang, Linlin Zhang, Tieyong Zeng
LTB is composed of a series of Efficient Transformers (ET), which occupies a small GPU memory occupation, thanks to the specially designed Efficient Multi-Head Attention (EMHA).
1 code implementation • ICCV 2021 • Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng
Although these methods can remove part of the rain streaks, it is difficult for them to adapt to real-world scenarios and restore high-quality rain-free images with clear and accurate structures.
no code implementations • CVPR 2021 • Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
To improve visual quality under different weather/imaging conditions, we propose a real-time light correction method to recover the degraded scenes in the cases of sandstorms, underwater, and haze.
no code implementations • 24 Feb 2021 • Liu Liu, Tieyong Zeng, Zecheng Zhang
In our framework, the solution is approximated by a neural network that satisfies both the governing equation and other constraints.
Numerical Analysis Numerical Analysis
no code implementations • 20 Nov 2020 • Tingting Zhang, Jie Chen, Caiying Wu, Zhifei He, Tieyong Zeng, Qiyu Jin
In the proposed model, it detects the edges and then spatially adjusts the parameters of Tikhonov and TV regularization terms for each pixel according to the edge information.
no code implementations • 14 Sep 2020 • Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, Jean-Michel Morel
Image demosaicking and denoising are the first two key steps of the color image production pipeline.
1 code implementation • 25 May 2020 • Hok Shing Wong, Li Wang, Raymond Chan, Tieyong Zeng
We present Deep Tensor Canonical Correlation Analysis (DTCCA), a method to learn complex nonlinear transformations of multiple views (more than two) of data such that the resulting representations are linearly correlated in high order.
no code implementations • 4 Dec 2019 • Zitong Wang, Li Wang, Raymond Chan, Tieyong Zeng
A novel approach is then proposed to construct the graph of the input data from the learned graph of a small number of vertexes with some preferred properties.
no code implementations • 21 May 2019 • Xiaohao Cai, Raymond Chan, Xiaoyu Xie, Tieyong Zeng
High-dimensional data classification is a fundamental task in machine learning and imaging science.
no code implementations • 26 Jul 2018 • Xiaohao Cai, Raymond Chan, Carola-Bibiane Schonlieb, Gabriele Steidl, Tieyong Zeng
The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fatemi (ROF) model are two important variational models in image segmentation and image restoration, respectively.
no code implementations • 30 May 2015 • Xiaohao Cai, Raymond Chan, Mila Nikolova, Tieyong Zeng
In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) method with three stages for multiphase segmentation of color images corrupted by different degradations: noise, information loss, and blur.