Abhinav Narayan Harish Email & Phone Number
@gatech.edu
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Who is Abhinav Narayan Harish? Overview
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Abhinav Narayan Harish is listed as PHD Student at University of Wisconsin-Madison, based in Atlanta, Georgia, United States. AeroLeads shows a work email signal at gatech.edu and a matched LinkedIn profile for Abhinav Narayan Harish.
Abhinav Narayan Harish previously worked as Graduate Teaching Assistant at Georgia Institute Of Technology and Perception Network Research Intern at Nvidia. Abhinav Narayan Harish holds Master'S Degree, Electrical And Computer Engineering from Georgia Institute Of Technology.
Email format at University of Wisconsin-Madison
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About Abhinav Narayan Harish
I am a Master's student at Georgia Tech with a keen interest in Computer Vision, Graphics and Machine Learning. I am excited to explore the applications of these fields in robotics. I am currently working on Hierarchical Reinforcement in the Habitat2.0 framework with Zsolt Kira.
Listed skills include Matlab, Python, Latex, Machine Learning, and 2 others.
Abhinav Narayan Harish's current company
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Abhinav Narayan Harish work experience
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Phd Student
Current
Graduate Teaching Assistant
CurrentTeaching assistant for the course Deep Learning - CS 7643 at Georgia Tech
Perception Network Research Intern
Graduate Research Assistant
Working with Professor Zsolt Kira on Hierarchical Reinforcement Learning for Skill-Chaining.
Research Fellow
1. Researched the problem of automated part assembly using the components of a 3D shape. Developed a novel recurrent graph learning(RGL) framework that capitalizes on inter-part relations and progressively assembles a shape.2. Compared to vanilla graph learning, the RGL framework learns arrangements like rotational symmetries and reduces inter-part confusion. It demonstrates an improvement of up to 10% in part placement and 15% in inter-part connectivity. 3. Paper accepted at the Winter Conference on Applications of Computer Vision (WACV), 2022.
Research Intern
1. Calibrated a multi-camera setup to capture the motion of the dynamic human body. Developed a preprocessing pipeline for floor removal in captured depth data. 2. Formulated a multi-channel architecture to process semantic information along with RGB data for human depth estimation. The proposed architecture yielded x5 better depth estimate compared to utilizing only RGB data. 3. Contributed to the annotation of captured data using a parametrized human body model.
Abhinav Narayan Harish education
Master'S Degree, Electrical And Computer Engineering
Bachelor’S Degree, Electrical And Electronics Engineering, 9.41/10 - Institute Silver Medal
High School Diploma, I
Education record
Frequently asked questions about Abhinav Narayan Harish
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What company does Abhinav Narayan Harish work for?
Abhinav Narayan Harish works for University of Wisconsin-Madison.
What is Abhinav Narayan Harish's role at University of Wisconsin-Madison?
Abhinav Narayan Harish is listed as PHD Student at University of Wisconsin-Madison.
What is Abhinav Narayan Harish's email address?
AeroLeads has found 1 work email signal at @gatech.edu for Abhinav Narayan Harish at University of Wisconsin-Madison.
Where is Abhinav Narayan Harish based?
Abhinav Narayan Harish is based in Atlanta, Georgia, United States while working with University of Wisconsin-Madison.
What companies has Abhinav Narayan Harish worked for?
Abhinav Narayan Harish has worked for University Of Wisconsin-Madison, Georgia Institute Of Technology, Nvidia, Indian Institute Of Technology Gandhinagar, and International Institute Of Information Technology.
How can I contact Abhinav Narayan Harish?
You can use AeroLeads to view verified contact signals for Abhinav Narayan Harish at University of Wisconsin-Madison, including work email, phone, and LinkedIn data when available.
What schools did Abhinav Narayan Harish attend?
Abhinav Narayan Harish holds Master'S Degree, Electrical And Computer Engineering from Georgia Institute Of Technology.
What skills is Abhinav Narayan Harish known for?
Abhinav Narayan Harish is listed with skills including Matlab, Python, Latex, Machine Learning, Deep Learning, and Computer Vision.
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