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05/31/2023
Morphological Classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs
Out of the estimated few trillion galaxies, only around a million have b...
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04/02/2023
Automatic Detection of Natural Disaster Effect on Paddy Field from Satellite Images using Deep Learning Techniques
This paper aims to detect rice field damage from natural disasters in Ba...
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01/04/2022
Variational Stacked Local Attention Networks for Diverse Video Captioning
While describing Spatio-temporal events in natural language, video capti...
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04/27/2021
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Graph Neural Networks (GNNs) learn low dimensional representations of no...
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04/27/2021
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Graph pooling is an essential ingredient of Graph Neural Networks (GNNs)...
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04/26/2021
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
Research in deep learning models to forecast traffic intensities has gai...
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03/31/2021
SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
To capture spatial relationships and temporal dynamics in traffic data, ...
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03/07/2021
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
Wearable sensor based human activity recognition is a challenging proble...
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11/13/2020
LULC classification by semantic segmentation of satellite images using FastFCN
This paper analyses how well a Fast Fully Convolu-tional Network (FastFC...
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10/29/2020
Modeling Traffic Congestion in Developing Countries using Google Maps Data
Traffic congestion research is on the rise, thanks to urbanization, econ...
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03/17/2020