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08/30/2023
Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs
Multitask learning (MTL) leverages task-relatedness to enhance performan...
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08/22/2023
Tensor Regression
Regression analysis is a key area of interest in the field of data analy...
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05/13/2023
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance
Binary feature descriptors have been widely used in various visual measu...
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05/10/2023
Level-line Guided Edge Drawing for Robust Line Segment Detection
Line segment detection plays a cornerstone role in computer vision tasks...
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05/01/2023
Adaptively Topological Tensor Network for Multi-view Subspace Clustering
Multi-view subspace clustering methods have employed learned self-repres...
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04/29/2023
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
Detection and description of line segments lay the basis for numerous vi...
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03/22/2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Deep neural networks have achieved great success in many data processing...
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03/04/2023
Tensorized LSSVMs for Multitask Regression
Multitask learning (MTL) can utilize the relatedness between multiple ta...
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10/23/2022
Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering
With powerful ability to exploit latent structure of self-representation...
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12/06/2021
No-Reference Point Cloud Quality Assessment via Domain Adaptation
We present a novel no-reference quality assessment metric, the image tra...
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09/30/2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
The existing tensor networks adopt conventional matrix product for conne...
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04/22/2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Recently, adversarial attack methods have been developed to challenge th...
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03/20/2021
Train Deep Neural Networks in 40-D Subspaces
Although there are massive parameters in deep neural networks, the train...
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01/20/2021
Scalable Deep Compressive Sensing
Deep learning has been used to image compressive sensing (CS) for enhanc...
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09/15/2020
Decision-based Universal Adversarial Attack
A single perturbation can pose the most natural images to be misclassifi...
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08/04/2020
Simultaneous Consensus Maximization and Model Fitting
Maximum consensus (MC) robust fitting is a fundamental problem in low-le...
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06/29/2020
Bayesian Low Rank Tensor Ring Model for Image Completion
Low rank tensor ring model is powerful for image completion which recove...
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04/22/2020
Hierarchical Tensor Ring Completion
Tensor completion can estimate missing values of a high-order data from ...
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04/21/2020
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Most compressive sensing (CS) reconstruction methods can be divided into...
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04/21/2020
Frequency-Weighted Robust Tensor Principal Component Analysis
Robust tensor principal component analysis (RTPCA) can separate the low-...
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03/28/2020
Adversarial Imitation Attack
Deep learning models are known to be vulnerable to adversarial examples....
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03/28/2020
DaST: Data-free Substitute Training for Adversarial Attacks
Machine learning models are vulnerable to adversarial examples. For the ...
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01/09/2020
Coupled Tensor Completion via Low-rank Tensor Ring
The coupled tensor decomposition aims to reveal the latent data structur...
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03/31/2019
Robust Tensor Recovery using Low-Rank Tensor Ring
Robust tensor completion recoveries the low-rank and sparse parts from i...
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03/12/2019
Tensor Grid Decomposition with Application to Tensor Completion
The recently prevalent tensor train (TT) and tensor ring (TR) decomposit...
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03/08/2019
Tensor Completion using Balanced Unfolding of Low-Rank Tensor Ring
Tensor completion aims to recover a multi-dimensional array from its inc...
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03/08/2019
Low-Rank Tensor Completion via Tensor Ring with Balanced Unfolding
Tensor completion aims to recover a multi-dimensional array from its inc...
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09/12/2018
Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties
Sign information is the key to overcoming the inevitable saturation erro...
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05/08/2018
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label
Image ordinal classification refers to predicting a discrete target valu...
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05/08/2018
Low Rank Tensor Completion for Multiway Visual Data
Tensor completion recovers missing entries of multiway data. Teh missing...
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03/29/2017
Towards thinner convolutional neural networks through Gradually Global Pruning
Deep network pruning is an effective method to reduce the storage and co...
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02/09/2017
Attribute-controlled face photo synthesis from simple line drawing
Face photo synthesis from simple line drawing is a one-to-many task as s...
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01/15/2017
Iterative Block Tensor Singular Value Thresholding for Extraction of Low Rank Component of Image Data
Tensor principal component analysis (TPCA) is a multi-linear extension o...
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08/15/2016
Every Filter Extracts A Specific Texture In Convolutional Neural Networks
Many works have concentrated on visualizing and understanding the inner ...
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06/29/2015
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization
Goal: This paper deals with the problems that some EEG signals have no g...
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11/20/2013
