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08/29/2023
Spatio-temporal MLP-graph network for 3D human pose estimation
Graph convolutional networks and their variants have shown significant p...
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08/15/2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection
A key component of many graph neural networks (GNNs) is the pooling oper...
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07/29/2023
Iterative Graph Filtering Network for 3D Human Pose Estimation
Graph convolutional networks (GCNs) have proven to be an effective appro...
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05/09/2023
Regular Splitting Graph Network for 3D Human Pose Estimation
In human pose estimation methods based on graph convolutional architectu...
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10/03/2022
Masked Supervised Learning for Semantic Segmentation
Self-attention is of vital importance in semantic segmentation as it ena...
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10/03/2022
Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On
Previous virtual try-on methods usually focus on aligning a clothing ite...
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11/01/2021
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation
Estimating a 3D human pose has proven to be a challenging task, primaril...
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08/18/2021
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification
Semi-supervised learning (SSL) has proven to be effective at leveraging ...
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07/26/2021
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
The U-Net architecture, built upon the fully convolutional network, has ...
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06/17/2021
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis
We introduce a new dataset called Synthetic COVID-19 Chest X-ray Dataset...
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04/15/2021
Ridge Regression Neural Network for Pediatric Bone Age Assessment
Bone age is an important measure for assessing the skeletal and biologic...
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12/14/2020
WISE: A Computer System Performance Index Scoring Framework
The performance levels of a computing machine running a given workload c...
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10/20/2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings
Internet of Things (IoT) sensors in smart buildings are becoming increas...
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10/20/2020
Anisotropic Graph Convolutional Network for Semi-supervised Learning
Graph convolutional networks learn effective node embeddings that have p...
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10/20/2020
Graph Fairing Convolutional Networks for Anomaly Detection
Graph convolution is a fundamental building block for many deep neural n...
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10/20/2020
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
Motivated by the lack of publicly available datasets of chest radiograph...
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04/14/2020
Melanoma Detection using Adversarial Training and Deep Transfer Learning
Skin lesion datasets consist predominantly of normal samples with only a...
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03/01/2020
Shape retrieval of non-rigid 3d human models
3D models of humans are commonly used within computer graphics and visio...
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09/04/2017
Global spectral graph wavelet signature for surface analysis of carpal bones
In this paper, we present a spectral graph wavelet approach for shape an...
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05/12/2017
Shape Classification using Spectral Graph Wavelets
Spectral shape descriptors have been used extensively in a broad spectru...
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04/08/2015