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09/07/2023
A cutting-surface consensus approach for distributed robust optimization of multi-agent systems
A novel and fully distributed optimization method is proposed for the di...
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09/03/2023
Distributed robust optimization for multi-agent systems with guaranteed finite-time convergence
A novel distributed algorithm is proposed for finite-time converging to ...
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06/20/2023
Contrastive Disentangled Learning on Graph for Node Classification
Contrastive learning methods have attracted considerable attention due t...
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06/20/2023
Variational Disentangled Graph Auto-Encoders for Link Prediction
With the explosion of graph-structured data, link prediction has emerged...
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06/04/2023
Scale Guided Hypernetwork for Blind Super-Resolution Image Quality Assessment
With the emergence of image super-resolution (SR) algorithm, how to blin...
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07/13/2022
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Coronary CT Angiography (CCTA) is susceptible to various distortions (e....
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06/07/2022
Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images
Parotid gland tumors account for approximately 2 tumors. Preoperative tu...
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01/24/2022
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis
Recent works on Multimodal 3D Computer-aided diagnosis have demonstrated...
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01/09/2022
ImageSubject: A Large-scale Dataset for Subject Detection
Main subjects usually exist in the images or videos, as they are the obj...
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11/25/2021
Few-Shot Real Image Restoration via Distortion-Relation Guided Transfer Learning
Collecting large clean-distorted training image pairs in real world is n...
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10/19/2021
Fine-Grained Control of Artistic Styles in Image Generation
Recent advances in generative models and adversarial training have enabl...
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04/01/2021
Bayesian Graph Convolutional Network for Traffic Prediction
Recently, adaptive graph convolutional network based traffic prediction ...
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10/15/2020
Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
In traffic forecasting, graph convolutional networks (GCNs), which model...
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09/29/2020
Sequential Reinforced 360-Degree Video Adaptive Streaming with Cross-user Attentive Network
In the tile-based 360-degree video streaming, predicting user's future v...
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06/01/2020
Residual Squeeze-and-Excitation Network for Fast Image Deraining
Image deraining is an important image processing task as rain streaks no...
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11/05/2019
Adaptive Context Network for Scene Parsing
Recent works attempt to improve scene parsing performance by exploring d...
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09/09/2018