Working memory inspired hierarchical video decomposition with
transformative representations

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Working memory inspired hierarchical video decomposition with transformative representations

21 April 2022

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Papers citing "Working memory inspired hierarchical video decomposition with transformative representations"

18 / 18 papers shown

Title
Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography Binjie Qin Haohao Mao Yiming Liu Jun Zhao Yisong Lv Y. Zhu Song Ding Xu Chen 51 23 0 16 Apr 2022
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection HanQin Cai Jialin Liu W. Yin 88 42 0 11 Oct 2021
Efficient GPU implementation of randomized SVD and its applications Lukasz Struski Pawel M. Morkisz Przemysław Spurek S. R. Bernabeu Tomasz Trzciñski 54 7 0 05 Oct 2021
Working Memory Connections for LSTM Federico Landi Lorenzo Baraldi Marcella Cornia Rita Cucchiara KELM 69 168 0 31 Aug 2021
Reconstructive Sequence-Graph Network for Video Summarization Bin Zhao Haopeng Li Xiaoqiang Lu Xuelong Li 55 102 0 10 May 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 204 682 0 28 Dec 2020
Learning-Based Algorithms for Vessel Tracking: A Review Dengqiang Jia Xiahai Zhuang 55 50 0 16 Dec 2020
A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech Jonghye Woo Fangxu Xing Jerry L. Prince M. Stone Arnold D. Gomez T. Reese Van Wedeen Xiaofeng Liu 23 10 0 09 Jul 2020
Multimodal Deep Unfolding for Guided Image Super-Resolution Iman Marivani Evaggelia Tsiligianni Bruno Cornelis Nikos Deligiannis SupR 80 37 0 21 Jan 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,022 0 22 Dec 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 106 1,451 0 17 Jul 2019
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data Ling Zhang Le Lu Xiaosong Wang Robert Zhu M. Bagheri Ronald M. Summers Jianhua Yao 45 34 0 23 Feb 2019
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound Oren Solomon Regev Cohen Yi Zhang Yi Yang Qiong He Jianwen Luo Ruud J. G. van Sloun Yonina C. Eldar 74 188 0 20 Nov 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 65 426 0 25 Sep 2018
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset T. Bouwmans A. Sobral S. Javed Soon Ki Jung E. Zahzah 72 330 0 04 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 566 8,004 0 13 Jun 2015
Learning efficient sparse and low rank models Pablo Sprechmann A. Bronstein Guillermo Sapiro 162 192 0 14 Dec 2012
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Xiaowei Zhou Can Yang Weichuan Yu 152 639 0 05 Sep 2011

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