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10/22/2021
GCCN: Global Context Convolutional Network
In this paper, we propose Global Context Convolutional Network (GCCN) fo...
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research
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10/22/2021
Signature-Graph Networks
We propose a novel approach for visual representation learning called Si...
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05/01/2021
MARL: Multimodal Attentional Representation Learning for Disease Prediction
Existing learning models often utilise CT-scan images to predict lung di...
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03/31/2021
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dyn...
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03/11/2021
Drone-as-a-Service Composition Under Uncertainty
We propose an uncertainty-aware service approach to provide drone-based ...
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07/30/2020
grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs
We propose grid2vec, a novel approach for image representation learning ...
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05/02/2020
