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👋 Hi, I’m @An-u-rag aka Anurag Parcha. Current Masters of Computer Science Student at Simon Fraser University. Specializing in Computer Vision and Graphics.
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👀 I’m interested in Development, mainly development for a purpose or to solve a real world problem. My main area of focus is Artificial Intelligence i.e. Deep Learning, Computer Vision and Computer Graphics. I also love to think about how my areas of interest can translate to applying in Extended Reality which includes Augmented, Virtual, and Mixed reality environments.
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🌱 I am currently researching on Content-Aware Upsampling and Style Transfer for Point Clouds from prior Image-View Synthesis of Indoor and Outdoor Scenes. This problem has applications in autonomous driving, robotics and entertainment media such as for virtual environments utilized in movies and games.
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I worked on Synthetic data generation in NVIDIA Omniverse and Unreal Engine. The generated data was extracted in a format that can be used to train Neural Networks for various features such as Classification, Segmentation, Detection, Pose Estimation and more.
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I worked on my Capstone Project which is a 3D computer graphics library in Elm Functional Programming Language for developing a frontend framework in Elm for handling complex mathematical transforms and functions related to 3D geometry and animations in a simplified manner.
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I am also working on improving my Game Development skills in Unity3D and C#.
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Improving my grasp on Deep Learning, Computer Vision and Computer Graphics through projects.
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Founded Cosmoteem 2020. You can check the website here https://cosmoteem.com. Still being worked and will be worked on in the future to include more features.
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💞️ I’m looking to collaborate on Computer Vision/Graphics, Extended Reality and Game Development research or projects.
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📫 How to reach me : apa144@sfu.ca or you could contact me on linkedIn at https://www.linkedin.com/in/anuragparcha/.
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stylized-gaussian-splatting
stylized-gaussian-splatting PublicImplementation of applying neural style transfer on 3D Gaussian Splatting from style images.
Python 6
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synthetic-visual-dataset-generation
synthetic-visual-dataset-generation PublicGeneration of synthetic visual datasets using NVIDIA Omniverse for training Deep Learning Models.
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pointcloud-upsampling
pointcloud-upsampling PublicAn implementation of 3D Deep Learning and Traditional Computer Vision techniques to accurately upsample point clouds while being edge aware and respecting finer details.
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IWP-Project/Cosmoteem
IWP-Project/Cosmoteem PublicThe repository for IWP project i.e. Space-Forum-Website.
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pose-regression-posenet
pose-regression-posenet PublicPytorch implementation of PoseNet with pretrained weights. Regression of pose i.e. 3D position and orientation of camera given multiple RGB images representing the a similar scene.
Python 2
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assembly-game-prog
assembly-game-prog PublicA bunch of assembly games built on the 8086 processor
Assembly 1
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