Aayush Kumar Tyagi

Aayush Kumar Tyagi

Research Scholar

IIT Delhi

About Me

Aayush is a research Assistant at IIT-Delhi. Aayush is interested in working in Deep learning with application in computer vision domain (more specifically in video analytic and surveillance). Aayush feels that there is wide scope and impact in this domain. Aayush developed my interest in deep learning while pursuing my masters. Aayush is impressed by the impact of deep learning in solving vast problems in various domain and it motivates me to be a part of journey and able to contribute in same. Aayush want to work in a research labs or start my own startup.

Interests

  • Deep Learning
  • Computer vision
  • Speech Processing

Education

  • MTech in Communication and signal processing, 2018

    Indraprastha Institute of information Technology, New Delhi

  • B.E in Electronics Engineering, 2015

    Vidyalankar Institute of Technology, Mumbai

Experience

 
 
 
 
 

Research Assistant

IIT-Delhi

Oct 2019 – Present New Delhi
We worked on skin segmentation problem from NIR imagaes using unsupervised domain adaptation. We cast skin segmentation problem of target independent unsupervised domain adaptation where we use the data from Red channel of visible range to develop skin segmentation algorithm on NIR images. The paper got accepted by ECCV2020 as spotlight paper
 
 
 
 
 

Data Scientist

Innefu Labs

Aug 2018 – Sep 2019 New Delhi
I worked in vision domain with application in video surveillance. I worked on activity recognition using pose estimation framework to detect crawling and crouching near fence area. I also got chance to work on object detection for Egocentric camera(Human vision) and high angle cameras. We used object detection to solve various problems like weapon detection, trespassing, loitering, safety gear detection and retail analysis by co-relating time spend by customer and sales data.

Accomplish­ments

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Coursera May 2019
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Convolutional Neural Networks in TensorFlow

Coursera May 2019
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Coursera Jun 2018
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Neural Networks and Deep Learning

Coursera May 2018
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Recent Posts

Recent Publications

Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search

Segmentation of the pixels corresponding to human skin is an essential first step in multiple applications ranging from surveillance to …
Prashant Pandey*, Aayush Kumar Tyagi* , Sameer Amberkar, Prathosh AP
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