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10/31/2022
Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs
Modern machine learning systems are increasingly trained on large amount...
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09/02/2022
Learning task-specific features for 3D pointcloud graph creation
Processing 3D pointclouds with Deep Learning methods is not an easy task...
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03/09/2022
SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters
This work presents SkinningNet, an end-to-end Two-Stream Graph Neural Ne...
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10/18/2021
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
Feature spaces in the deep layers of convolutional neural networks (CNNs...
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07/27/2021
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation
State-of-the-art neural network architectures continue to scale in size ...
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09/23/2020
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification
Multi-modal fusion has been proved to help enhance the performance of sc...
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05/17/2020
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations
It is widely known that very small datasets produce overfitting in Deep ...
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09/30/2019
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification
Geometric 3D scene classification is a very challenging task. Current me...
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04/03/2019