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08/20/2023
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification
Resting-state functional magnetic resonance imaging (rs-fMRI) offers a n...
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03/14/2023
FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting
Traffic flow forecasting is challenging due to the intricate spatio-temp...
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06/26/2022
Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning
Schizophrenia is a chronic neuropsychiatric disorder that causes distinc...
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01/24/2022
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
It is a challenging task to learn discriminative representation from ima...
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10/15/2021
Pose-guided Generative Adversarial Net for Novel View Action Synthesis
We focus on the problem of novel-view human action synthesis. Given an a...
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09/15/2021
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
Graph Convolution Network (GCN) has been successfully used for 3D human ...
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03/18/2021
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
This paper investigates the indistinguishable points (difficult to predi...
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03/16/2021
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
The end-to-end Human Mesh Recovery (HMR) approach has been successfully ...
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12/20/2020