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09/08/2021
Deriving Explanation of Deep Visual Saliency Models
Deep neural networks have shown their profound impact on achieving human...
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08/10/2021
Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
Human observers engage in selective information uptake when classifying ...
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08/03/2020
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
With increasing number of COVID-19 cases globally, all the countries are...
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01/10/2020
Compressive sensing based privacy for fall detection
Fall detection holds immense importance in the field of healthcare, wher...
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04/02/2019
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks
Synthesizing high quality saliency maps from noisy images is a challengi...
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11/08/2018
NEMGAN: Noise Engineered Mode-matching GAN
Conditional generation refers to the process of sampling from an unknown...
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05/01/2018
Locate, Segment and Match: A Pipeline for Object Matching and Registration
Image registration requires simultaneous processing of multiple images t...
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01/10/2018
Unsupervised Despeckling
Contrast and quality of ultrasound images are adversely affected by the ...
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09/21/2017
Drought Stress Classification using 3D Plant Models
Quantification of physiological changes in plants can capture different ...
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08/19/2017
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark
Training deep networks is expensive and time-consuming with the training...
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10/10/2016
Ranking academic institutions on potential paper acceptance in upcoming conferences
The crux of the problem in KDD Cup 2016 involves developing data mining ...
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03/11/2015
A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine
Machine learning methods are used today for most recognition problems. C...
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02/26/2015
