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09/02/2023
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
Multi-modal regression is important in forecasting nonstationary process...
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07/25/2022
Deep dual stream residual network with contextual attention for pansharpening of remote sensing images
Pansharpening enhances spatial details of high spectral resolution multi...
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03/31/2022
A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020
Email services use spam filtering algorithms (SFAs) to filter emails tha...
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02/26/2022
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends
Person re-identification (Re-ID) is one of the primary components of an ...
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02/09/2022
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network
Pixel-level analysis of blood images plays a pivotal role in diagnosing ...
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12/04/2021
Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset
Automatic detection of weapons is significant for improving security and...
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07/07/2021
A Survey of Uncertainty in Deep Neural Networks
Due to their increasing spread, confidence in neural network predictions...
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11/29/2020
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding
Semantic segmentation of raw 3D point clouds is an essential component i...
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01/28/2020
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image
Previous works on segmentation of SEM (scanning electron microscope) blo...
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03/25/2019
Caveat emptor: the risks of using big data for human development
Big data revolution promises to be instrumental in facilitating sustaina...
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08/14/2018