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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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10/08/2021
TopoDetect: Framework for Topological Features Detection in Graph Embeddings
TopoDetect is a Python package that allows the user to investigate if im...
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09/20/2021
Modeling Regime Shifts in Multiple Time Series
We investigate the problem of discovering and modeling regime shifts in ...
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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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06/22/2021
Exploring the Representational Power of Graph Autoencoder
While representation learning has yielded a great success on many graph ...
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01/12/2021
Context Matters: Self-Attention for Sign Language Recognition
This paper proposes an attentional network for the task of Continuous Si...
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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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06/18/2017