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09/30/2021
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach
The recent advances in 3D sensing technology have made possible the capt...
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07/05/2021
Partition and Code: learning how to compress graphs
Can we use machine learning to compress graph data? The absence of order...
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09/10/2020
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
Face recognition is a widely accepted biometric verification tool, as th...
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07/19/2020
Learning to Generate Customized Dynamic 3D Facial Expressions
Recent advances in deep learning have significantly pushed the state-of-...
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06/20/2020
Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) are currently the method of c...
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06/16/2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
While Graph Neural Networks (GNNs) have achieved remarkable results in a...
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03/08/2020
Î -nets: Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...
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07/12/2019
Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks
Detection of anomalous trajectories is an important problem with potenti...
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05/08/2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Generative models for 3D geometric data arise in many important applicat...
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12/03/2017
