Deep Subspace Clustering Networks

8 September 2017

Tong Zhang

Papers citing "Deep Subspace Clustering Networks"

50 / 50 papers shown

Title
Label-independent hyperparameter-free self-supervised single-view deep subspace clustering Lovro Sindicic Ivica Kopriva 39 0 0 25 Apr 2025
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning Kamal Berahmand Farid Saberi-Movahed Razieh Sheikhpour Yuefeng Li Mahdi Jalili 49 1 0 23 Jan 2025
Federated Deep Subspace Clustering Yupei Zhang Ruojia Feng Yifei Wang Xuequn Shang FedML 83 0 0 17 Jan 2025
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach Kunpeng Xu Lifei Chen Shengrui Wang 52 1 0 10 Jan 2025
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport Chakib Fettal Lazhar Labiod M. Nadif OT 21 1 0 07 Feb 2024
Multilayer Graph Approach to Deep Subspace Clustering Lovro Sindicic Ivica Kopriva 22 1 0 30 Jan 2024
Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation Tong Wu 34 0 0 18 Jul 2023
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering Lin Xi Weihai Chen Xingming Wu Zhong Liu Zhengguo Li VOS 26 9 0 21 Jun 2023
Deep Double Self-Expressive Subspace Clustering Ling Zhao Yunpeng Ma Shanxiong Chen Jun Zhou SSL 24 4 0 20 Jun 2023
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval Yuqi Zhang Qi Qian Hongsong Wang Chong Liu Weihua Chen Fan Wang 27 16 0 15 Jun 2023
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations Sehyun Kwon Jooyoung Choi Ernest K. Ryu OOD 41 4 0 27 Apr 2023
DivClust: Controlling Diversity in Deep Clustering Ioannis Maniadis Metaxas Georgios Tzimiropoulos Ioannis Patras 29 17 0 03 Apr 2023
Unsupervised Manifold Linearizing and Clustering Tianjiao Ding Shengbang Tong Kwan Ho Ryan Chan Xili Dai Yi Ma B. Haeffele 30 11 0 04 Jan 2023
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 43 101 0 09 Oct 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 45 8 0 04 Oct 2022
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective Mengyuan Zhang Kai Liu 34 3 0 06 Sep 2022
Fusion Subspace Clustering for Incomplete Data Usman Mahmood Daniel L. Pimentel-Alarcón 27 0 0 22 May 2022
Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective Huizhong Deng Tong Zhang Yuchao Dai Jiawei Shi Yiran Zhong Hongdong Li 36 7 0 10 Apr 2022
Fine-grained Graph Learning for Multi-view Subspace Clustering Yidi Wang Xiaobing Pei Haoxi Zhan 33 2 0 12 Jan 2022
Top-Down Deep Clustering with Multi-generator GANs Daniel de Mello Renato M. Assunção Fabricio Murai 23 17 0 06 Dec 2021
Explaining Latent Representations with a Corpus of Examples Jonathan Crabbé Zhaozhi Qian F. Imrie M. Schaar FAtt 18 37 0 28 Oct 2021
Learning a Self-Expressive Network for Subspace Clustering Shangzhi Zhang Chong You René Vidal Chun-Guang Li 36 44 0 08 Oct 2021
Adaptive Attribute and Structure Subspace Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 31 28 0 28 Sep 2021
Smoothed Multi-View Subspace Clustering Peng Chen Liang Liu Zhengrui Ma Zhao Kang 15 17 0 18 Jun 2021
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering Zhengrui Ma Zhao Kang Guangchun Luo Ling Tian 22 50 0 18 Jun 2021
Pseudo-supervised Deep Subspace Clustering Juncheng Lv Zhao Kang Xiao Lu Zenglin Xu 35 111 0 08 Apr 2021
SPICE: Semantic Pseudo-labeling for Image Clustering Chuang Niu Hongming Shan Ge Wang VLM 29 145 0 17 Mar 2021
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view Zhao Kang Zhiping Lin Xiaofeng Zhu Wenbo Xu 76 228 0 16 Feb 2021
Doubly Stochastic Subspace Clustering Derek Lim René Vidal B. Haeffele 15 17 0 30 Nov 2020
Overcomplete Deep Subspace Clustering Networks Jeya Maria Jose Valanarasu Vishal M. Patel 21 15 0 16 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization Foivos Ntelemis Yaochu Jin S. Thomas GAN 33 13 0 08 Nov 2020
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation Abubakar Siddique Reza Jalil Mozhdehi Henry Medeiros DRL 28 4 0 14 Jul 2020
Relation-Guided Representation Learning Zhao Kang Xiao Lu Jian Liang Kun Bai Zenglin Xu BDL OOD AI4TS 26 48 0 11 Jul 2020
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches Kalun Ho J. Keuper Franz-Josef Pfreundt M. Keuper 19 10 0 06 Jul 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi Ma SSL 36 190 0 15 Jun 2020
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering Chuang Niu Jun Zhang Ge Wang Jimin Liang SSL 27 70 0 27 Feb 2020
Subspace clustering without knowing the number of clusters: A parameter free approach V. Menon Gokularam M Sheetal Kalyani 20 14 0 10 Sep 2019
Deep Kernel Learning for Clustering Chieh-Tsai Wu Zulqarnain Khan Yale Chang Stratis Ioannidis Jennifer Dy 102 13 0 09 Aug 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Jiwoong Park Minsik Lee H. Chang Kyuewang Lee J. Choi SSL 43 232 0 07 Aug 2019
Big-Data Clustering: K-Means or K-Indicators? Feiyu Chen Yuchen Yang Liwei Xu Taiping Zhang Yin Zhang 19 4 0 03 Jun 2019
Self-Supervised Convolutional Subspace Clustering Network Junjian Zhang Chun-Guang Li Chong You Xianbiao Qi Honggang Zhang Jun Guo Zhouchen Lin SSL 27 145 0 01 May 2019
Deep Spectral Clustering using Dual Autoencoder Network Xu Yang Cheng Deng Feng Zheng Junchi Yan Wen Liu 32 249 0 30 Apr 2019
Neural Collaborative Subspace Clustering Tong Zhang Pan Ji Mehrtash Harandi Wen-bing Huang Hongdong Li 19 72 0 24 Apr 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction Nairouz Mrabah N. Khan Riadh Ksantini Z. Lachiri 20 63 0 23 Jan 2019
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE) Séverine Affeldt Lazhar Labiod M. Nadif 16 75 0 08 Jan 2019
Scalable Deep $k$ -Subspace Clustering Tong Zhang Pan Ji Mehrtash Harandi Richard I. Hartley Ian Reid 9 34 0 02 Nov 2018
XAI Beyond Classification: Interpretable Neural Clustering Xi Peng Yunfan Li Ivor W. Tsang Erik Cambria Jiancheng Lv Qiufeng Wang 18 74 0 22 Aug 2018
Deep Multimodal Subspace Clustering Networks Mahdi Abavisani Vishal M. Patel 28 163 0 17 Apr 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 35 78 0 05 Dec 2017
Kernel Truncated Regression Representation for Robust Subspace Clustering Liangli Zhen Dezhong Peng Wei Wang Xin Yao 21 14 0 15 May 2017