Generative Adversarial Networks (GANs) have been very successful for
syn...
The stochastic gradient descent (SGD) optimizers are generally used to t...
Currently, the computational complexity limits the training of high
reso...
The use of Deep Learning (DL) based methods in medical histopathology im...
In the clinical settings, during digital examination of histopathologica...
Computer-aided histopathological image analysis for cancer detection is ...
In this paper a local pattern descriptor in high order derivative space ...
Feature description is one of the most frequently studied areas in the e...
In this paper a novel hand crafted local quadruple pattern (LQPAT) is
pr...
Facial features are defined as the local relationships that exist amongs...
Local descriptors used in face recognition are robust in a sense that th...
In this paper R-Theta Local Neighborhood Pattern (RTLNP) is proposed for...
Scene Graph Generation has gained much attention in computer vision rese...
Neural networks have shown tremendous growth in recent years to solve
nu...
Deep learning has shown a tremendous growth in hashing techniques for im...
In this paper, we propose a new approach, hereafter referred as AdaInjec...
In this work, we propose a two-stage autoencoder based
compressor-decomp...
Signature verification has been one of the major researched areas in the...
Thermal Images profile the passive radiation of objects and capture them...
Researchers working on computational analysis of Whole Slide Images (WSI...
We propose a learning-based compression scheme that envelopes a standard...
The area of face recognition is one of the most widely researched areas ...
With the advent of 2-dimensional Convolution Neural Networks (2D CNNs), ...
Thermal images can be obtained as either grayscale images or pseudo colo...
In todays world, where the need for security is paramount and biometric
...
Stochastic Gradient Decent (SGD) is one of the core techniques behind th...