4 citations · 4 across the 4 of their papers we have counts for
7 papers
EWGN: Elastic Weight Generation and Context Switching in Deep Learning
Shriraj P. Sawant, Krishna P. Miyapuram
The ability to learn and retain a wide variety of tasks is a hallmark of human intelligence that has inspired research in artificial general intelligence. Continual learning approa…
Predicting the imagined contents using brain activation
Krishna Prasad Miyapuram, Wolfram Schultz, Philippe N. Tobler
Mental imagery refers to percept-like experiences in the absence of sensory input. Brain imaging studies suggest common, modality-specific, neural correlates imagery and perception…
GuessTheMusic: Song Identification from Electroencephalography response
Dhananjay Sonawane, Krishna Prasad Miyapuram, Bharatesh RS +1
The music signal comprises of different features like rhythm, timbre, melody, harmony. Its impact on the human brain has been an exciting research topic for the past several decade…
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning
Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria +1
Neuromarketing aims to understand consumer behavior using neuroscience. Brain imaging tools such as EEG have been used to better understand consumer behavior that goes beyond self-…
PsychFM: Predicting your next gamble
Prakash Rajan, Krishna P. Miyapuram
There is a sudden surge to model human behavior due to its vast and diverse applications which includes modeling public policies, economic behavior and consumer behavior. Most of t…
DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification
Shubham Kumar Singh, Krishna P Miyapuram, Shanmuganathan Raman
Person re-identification aims to associate images of the same person over multiple non-overlapping camera views at different times. Depending on the human operator, manual re-ident…
Facial Expression Recognition using Visual Saliency and Deep Learning
Viraj Mavani, Shanmuganathan Raman, Krishna P Miyapuram
We have developed a convolutional neural network for the purpose of recognizing facial expressions in human beings. We have fine-tuned the existing convolutional neural network mod…