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09/29/2022
Graph Attention Network for Camera Relocalization on Dynamic Scenes
We devise a graph attention network-based approach for learning a scene ...
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07/19/2021
Rethinking Graph Autoencoder Models for Attributed Graph Clustering
Most recent graph clustering methods have resorted to Graph Auto-Encoder...
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12/23/2020
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
During the last years, deep learning trackers achieved stimulating resul...
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09/26/2019
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Clustering using deep autoencoders has been thoroughly investigated in r...
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01/23/2019
Deep Clustering with a Dynamic Autoencoder
In unsupervised learning, there is no obvious straightforward loss funct...
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11/29/2017
A Novel Image-centric Approach Towards Direct Volume Rendering
Transfer Function (TF) generation is a fundamental problem in Direct Vol...
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10/15/2016