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08/07/2023
Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization
Supervised deep learning models require significant amount of labelled d...
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05/30/2023
TrueDeep: A systematic approach of crack detection with less data
Supervised and semi-supervised semantic segmentation algorithms require ...
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09/10/2022
CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity
Automatically detecting or segmenting cracks in images can help in reduc...
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02/12/2019
Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images
In this work, we have proposed several enhancements to improve the perfo...
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12/06/2018
Binary Document Image Super Resolution for Improved Readability and OCR Performance
There is a need for information retrieval from large collections of low-...
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08/25/2018
MSCE: An edge preserving robust loss function for improving super-resolution algorithms
With the recent advancement in the deep learning technologies such as CN...
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07/16/2018
Computationally Efficient Approaches for Image Style Transfer
In this work, we have investigated various style transfer approaches and...
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05/23/2018
A hybrid approach of interpolations and CNN to obtain super-resolution
We propose a novel architecture that learns an end-to-end mapping functi...
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05/23/2018
Segmentation of Liver Lesions with Reduced Complexity Deep Models
We propose a computationally efficient architecture that learns to segme...
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01/30/2017