Efficient and Effective Deep Multi-view Subspace Clustering

no code implementations • 15 Oct 2023 • Yuxiu Lin, Hui Liu, Ren Wang, Qiang Guo, Caiming Zhang

i) The parameter scale of the FC layer is quadratic to sample numbers, resulting in high time and memory costs that significantly degrade their feasibility in large-scale datasets.

Clustering Multi-view Subspace Clustering

Tensor Robust PCA with Nonconvex and Nonlocal Regularization

1 code implementation • 4 Nov 2022 • Xiaoyu Geng, Qiang Guo, Shuaixiong Hui, Ming Yang, Caiming Zhang

To this end, we integrate nonlocal self-similarity into N-TRPCA, and further develop a nonconvex and nonlocal TRPCA (NN-TRPCA) model.

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

1 code implementation • 21 Apr 2021 • Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, XiaoYu Zhang, Linjie Zhou, Sixin Lin, Ru Wang

This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results.

TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator

1 code implementation • 8 May 2020 • Pengyao Zhao, Quanli Liu, Wei Wang, Qiang Guo

The D-r optimizes the target bounding box estimated by SiamRPN++, based on the spatial depth distribution difference between the target and the surrounding background.

Visual Object Tracking

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography

no code implementations • 16 May 2018 • Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu

Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells.

Classification General Classification +3

An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification

no code implementations • 4 Apr 2018 • Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu

Existing subtomogram alignment based methods are prone to the missing wedge effects and low signal-to-noise ratio (SNR).

General Classification

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms

no code implementations • 31 Jan 2018 • Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu

To complement and speed up existing segmentation methods, it is desirable to develop a generic cell component segmentation method that is 1) not specific to particular types of cellular components, 2) able to segment unknown cellular components, 3) fully unsupervised and does not rely on the availability of training data.

Saliency Detection Segmentation

High-speed real-time single-pixel microscopy based on Fourier sampling

no code implementations • 15 Jun 2016 • Qiang Guo, Hongwei Chen, Yuxi Wang, Yong Guo, Peng Liu, Xiurui Zhu, Zheng Cheng, Zhenming Yu, Minghua Chen, Sigang Yang, Shizhong Xie

However, according to CS theory, image reconstruction is an iterative process that consumes enormous amounts of computational time and cannot be performed in real time.

Image Reconstruction Image Restoration +1

Agglomerative clustering and collectiveness measure via exponent generating function

no code implementations • 30 Jul 2015 • Wei-Ya Ren, Shuo-Hao Li, Qiang Guo, Guo-Hui Li, Jun Zhang

A novel agglomerative clustering method is proposed by utilizing the path integral to define the affinity measure.

Clustering Test