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07/26/2023
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration
The precision of unsupervised point cloud registration methods is typica...
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12/12/2022
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration
Point cloud registration (PCR) is a popular research topic in computer v...
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11/14/2022
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification
In recent years, research on hyperspectral image (HSI) classification ha...
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10/11/2022
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach
The empirical studies of Graph Neural Networks (GNNs) broadly take the o...
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08/13/2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Structured pruning techniques have achieved great compression performanc...
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08/09/2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Pruning techniques are used comprehensively to compress convolutional ne...
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05/06/2022
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism
Registration of multi-view point clouds is fundamental in 3D reconstruct...
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10/29/2021
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning
Distributed multi-party learning provides an effective approach for trai...
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10/28/2021
Audio-visual Representation Learning for Anomaly Events Detection in Crowds
In recent years, anomaly events detection in crowd scenes attracts many ...
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10/09/2021
Self-adaptive Multi-task Particle Swarm Optimization
Multi-task optimization (MTO) studies how to simultaneously solve multip...
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09/22/2021
Hierarchical Multimodal Transformer to Summarize Videos
Although video summarization has achieved tremendous success benefiting ...
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08/02/2021
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
Crowd localization is a new computer vision task, evolved from crowd cou...
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05/17/2021
AudioVisual Video Summarization
Audio and vision are two main modalities in video data. Multimodal learn...
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05/14/2021
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
Recently, maximizing mutual information has emerged as a powerful method...
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04/14/2021
Multi-Party Dual Learning
The performance of machine learning algorithms heavily relies on the ava...
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04/14/2021
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Multi-party learning provides solutions for training joint models with d...
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04/02/2021
An attention-based unsupervised adversarial model for movie review spam detection
With the prevalence of the Internet, online reviews have become a valuab...
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03/24/2021
Feature Weighted Non-negative Matrix Factorization
Non-negative Matrix Factorization (NMF) is one of the most popular techn...
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12/24/2020
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy
Optimizers that further adjust the scale of gradient, such as Adam, Natu...
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10/31/2020
Differentially Private ADMM Algorithms for Machine Learning
In this paper, we study efficient differentially private alternating dir...
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10/12/2020
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations
Graph convolutional networks (GCNs) have been widely used for representa...
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04/08/2019
Nucleus Neural Network: A Data-driven Self-organized Architecture
Artificial neural networks which are inspired from the learning mechanis...
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04/08/2019
Nucleus Neural Network for Super Robust Learning
Artificial neural networks which model the neurons and connecting archit...
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12/09/2017