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11/20/2022
Auto-Focus Contrastive Learning for Image Manipulation Detection
Generally, current image manipulation detection models are simply built ...
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05/27/2021
Optimization Induced Equilibrium Networks
Implicit equilibrium models, i.e., deep neural networks (DNNs) defined b...
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04/23/2021
Time Series Forecasting via Learning Convolutionally Low-Rank Models
Recently, <cit.> studied the rather challenging problem of time series f...
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07/09/2020
Maximum-and-Concatenation Networks
While successful in many fields, deep neural networks (DNNs) still suffe...
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12/26/2019
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
In this paper, we investigate the robust dictionary learning (DL) to dis...
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12/13/2019
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
For subspace recovery, most existing low-rank representation (LRR) model...
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09/06/2019
Recovery of Future Data via Convolution Nuclear Norm Minimization
This paper is about recovering the unseen future data from a given seque...
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09/02/2019
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Concept Factorization (CF) and its variants may produce inaccurate repre...
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08/21/2019
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
In this paper, we extend the popular dictionary pair learning (DPL) into...
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05/29/2019
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification
Kernel methods have been successfully applied to the areas of pattern re...
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05/25/2019
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
Constrained Concept Factorization (CCF) yields the enhanced representati...
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05/25/2019
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
We propose a novel structured discriminative block-diagonal dictionary l...
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05/25/2019
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering
We investigate the high-dimensional data clustering problem by proposing...
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05/15/2019
Differentiable Linearized ADMM
Recently, a number of learning-based optimization methods that combine d...
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11/09/2018
Matrix Recovery with Implicitly Low-Rank Data
In this paper, we study the problem of matrix recovery, which aims to re...
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05/07/2018
Matrix Completion with Nonuniform Sampling: Theories and Methods
Prevalent matrix completion theories reply on an assumption that the loc...
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03/30/2018
Fast and Robust Subspace Clustering Using Random Projections
Over the past several decades, subspace clustering has been receiving in...
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11/16/2014
A Latent Clothing Attribute Approach for Human Pose Estimation
As a fundamental technique that concerns several vision tasks such as im...
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04/19/2014
Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification
In this paper, we utilize structured learning to simultaneously address ...
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09/10/2012
Blind Image Deblurring by Spectral Properties of Convolution Operators
In this paper, we study the problem of recovering a sharp version of a g...
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09/08/2011
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
In this work, we address the following matrix recovery problem: suppose ...
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11/22/2010
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems
It is an efficient and effective strategy to utilize the nuclear norm ap...
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10/14/2010
