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Graduate student at Georgia Institute of Technology.
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Over the years, the consumption of OTT content has increased leaps and bounds. Everyone can access a wide variety of previously inaccessible content from all over the world. However, this poses a difficult challenge of figuring out what content is suitable for children and family viewing. Different countries have different rating systems that reflect their own cultural and social fabric. It is very easy to see how the ratings from one country will not be very meaningful for other countries. In this work, we attempt to handle this problem by building an AI-based extensible framework.
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A few months back, as I was browsing through some fascinating projects on Augmented Reality, I came across an extremely intriguing project, which was one of the most artistic applications of AR I could think of.
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In the app we will be building, we will not be anchoring the objects to a plane as we are just focussing on the motion tracking component of ARCore and not the complete environmental understanding.
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Huge advances in the field of Computer Vision has paved the path for one of the most exciting fields of Mobile-Platform based Augmented Reality. Apple’s ARKit and Google’s ARCore are one of the finest frameworks available to develop Augmented Reality apps. This short tutorial will be covering the basic working of Google’s ARCore and it’s integration with Unity Game Engine.
AR based app inspired by Doremon.
AR based measuring app.
ATM Surveillance System for Banks
Recognises the facial emotion using CNN and overlays emoji, equivalent to the emotion, on the persons face. The CNN was trained on Google Collaboratory.
A light weight face recognition implementation using a pre-trained Facenet model.
Clone of the popular game Fruit Ninja
Make the whole world your canvas.
Motion Detection using openCV.
Photo Editor app for Android
Can a neural network learn to recognize doodling?
Prevent the ball from falling off the platform
Published in AAAI Conference on Artificial Intelligence, 2020, 1900
Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah
AAAI Conference on Artificial Intelligence, vol. 34 (01), pp. 386-393, 2020.
Published in European Conference on Information Retrieval, ECIR 2020, 1900
Puneet Mathur, Ramit Sawhney, Shivang Chopra, Maitree Leekha, Rajiv Ratn Shah
European Conference on Information Retrieval, pp. 265-271, 2020.
Published in IEEE Transactions on Cognitive and Developmental Systems, 1900
Gaurav Jain*, Shivang Chopra*, Suransh Chopra, Anil Singh Parihar IEEE Transactions on Cognitive and Developmental Systems, 2020.
Published in IEEE Sixth International Conference on Multimedia Big Data (BigMM), 1900
Shreya Singal, Tanishq Goel, Shivang Chopra*, Sonika Dahiya IEEE Sixth International Conference on Multimedia Big Data (BigMM), pp. 414-423, 2020.
Published in Multimedia Tools and Applications, 1900
Gaurav Jain*, Shivang Chopra*, Suransh Chopra, Anil Singh Parihar Multimedia Tools and Applications, pp. 9075–9091, 2021.
Published in RealML Workshop at ICML, 1900
Suraj Kothawade, Shivang Chopra, Saikat Ghosh, Rishabh Iyer RealML Workshop at ICML 2022.
Published in International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 1900
Zhe Ming Chng, Calix Tang, Darshan Krishnaswamy, Haoyang Yang, Shivang Chopra, Jon Womack, Thad Starner International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023)
Published in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 1900
Harsh Vijay, Saumay Pushp, Amish Mittal, Praveen Gupta, Meghna Gupta, Sirish Gambhira, Shivang Chopra, Mayank Baranwal, Arshia Arya, Ajay Manchepalli, Venkata N Padmanabhan Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
Published in Conference on Robot Learning (CoRL), 1900
Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu Conference on Robot Learning (CoRL 2023)
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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