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08/31/2023
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
When taking images against strong light sources, the resulting images of...
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05/07/2023
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning
Learning from noisy data has attracted much attention, where most method...
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04/28/2023
ALL-E: Aesthetics-guided Low-light Image Enhancement
Evaluating the performance of low-light image enhancement (LLE) is highl...
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04/21/2023
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems
Minimax optimization plays an important role in many machine learning ta...
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01/30/2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information
Self-supervised learning is attracting wide attention in point cloud pro...
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09/03/2022
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
Contrastive learning (CL) has shown impressive advances in image represe...
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07/26/2022
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition
Data augmentation for minority classes is an effective strategy for long...
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07/10/2022
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox
Universal domain adaptation (UniDA) is a general unsupervised domain ada...
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07/10/2022
Dual-Correction Adaptation Network for Noisy Knowledge Transfer
Previous unsupervised domain adaptation (UDA) methods aim to promote tar...
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05/10/2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
Detecting abnormal nodes from attributed networks is of great importance...
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05/05/2022
View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering
Consistency and complementarity are two key ingredients for boosting mul...
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04/23/2022
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree
Decision tree (DT) attracts persistent research attention due to its imp...
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04/22/2022
Universum-inspired Supervised Contrastive Learning
Mixup is an efficient data augmentation method which generates additiona...
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04/11/2022
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts
Self-supervised learning (SSL), as a newly emerging unsupervised represe...
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04/07/2022
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Unsupervised Source (data) Free domain adaptation (USFDA) aims to transf...
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03/05/2022
A Similarity-based Framework for Classification Task
Similarity-based method gives rise to a new class of methods for multi-l...
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01/31/2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Adversarial training, originally designed to resist test-time adversaria...
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01/07/2022
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task
Multi-task learning is to improve the performance of the model by transf...
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08/29/2021
Partial Domain Adaptation without Domain Alignment
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a w...
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08/06/2021
Rectified Euler k-means and Beyond
Euler k-means (EulerK) first maps data onto the unit hyper-sphere surfac...
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03/27/2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
In addition to high accuracy, robustness is becoming increasingly import...
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02/09/2021
Provable Defense Against Delusive Poisoning
Delusive poisoning is a special kind of attack to obstruct learning, whe...
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01/29/2021
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs
Heterogeneous multi-task learning (HMTL) is an important topic in multi-...
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12/29/2020
With False Friends Like These, Who Can Have Self-Knowledge?
Adversarial examples arise from excessive sensitivity of a model. Common...
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12/24/2020
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
As the main workhorse for model selection, Cross Validation (CV) has ach...
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09/20/2020
Convex Subspace Clustering by Adaptive Block Diagonal Representation
Subspace clustering is a class of extensively studied clustering methods...
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09/01/2020
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
Unsupervised Domain Adaptation (UDA) aims to classify unlabeled target d...
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08/04/2020
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
In this paper, we propose a faster stochastic alternating direction meth...
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04/27/2020
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering
Like k-means and Gaussian Mixture Model (GMM), fuzzy c-means (FCM) with ...
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04/08/2020
Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels
In multi-label learning, the issue of missing labels brings a major chal...
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03/18/2020
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
Unsupervised domain adaptation (UDA) is an emerging research topic in th...
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03/18/2020
Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
Domain adaptation (DA) is an emerging research topic in the field of mac...
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08/12/2019
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
In the process of exploring the world, the curiosity constantly drives h...
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05/29/2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization
Alternating direction method of multipliers (ADMM) is a popular optimiza...
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03/07/2019
Doubly Aligned Incomplete Multi-view Clustering
Nowadays, multi-view clustering has attracted more and more attention. T...
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03/02/2019
One-Pass Incomplete Multi-view Clustering
Real data are often with multiple modalities or from multiple heterogene...
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02/16/2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Proximal gradient method has been playing an important role to solve man...
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11/21/2018
Recent Advances in Open Set Recognition: A Survey
In real-world recognition/classification tasks, limited by various objec...
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09/04/2018
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories
Unsupervised domain adaptation (UDA) aims to learn the unlabeled target ...
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06/29/2018
Hierarchical Dirichlet Process-based Open Set Recognition
In this paper, we proposed a novel hierarchical dirichlet process-based ...
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02/15/2018
Active Feature Acquisition with Supervised Matrix Completion
Feature missing is a serious problem in many applications, which may lea...
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02/08/2018
Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization
In the paper, we study the mini-batch stochastic ADMMs (alternating dire...
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04/26/2017
Linear Convergence of Accelerated Stochastic Gradient Descent for Nonconvex Nonsmooth Optimization
In this paper, we study the stochastic gradient descent (SGD) method for...
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10/10/2016
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization
In the paper, we study the stochastic alternating direction method of mu...
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09/14/2016
Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces
In human face-based biometrics, gender classification and age estimation...
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09/13/2016
A Unified Gender-Aware Age Estimation
Human age estimation has attracted increasing researches due to its wide...
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01/12/2015
Tri-Subject Kinship Verification: Understanding the Core of A Family
One major challenge in computer vision is to go beyond the modeling of i...
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03/16/2013