Aman Shenoy

Aman Shenoy

Research Engineer

Preimage

A little bit about me

Hello, and welcome to my portfolio website! I am Aman, currently a Research Engineer at Preimage (a cloud based 3D reconstruction suite), where I work on 3D Deep Learning and Computer Vision for image-based rendering and 3D reconstruction (You can find out a little more here).

Prior to Preimage, I spent a little less then a year at Sony Research, India where I worked in the Media Analysis group, pursuing Research and Development for various Deep Learning and Computer Vision Applications for analyzing Video (mostly Animated) Content.

I graduated in 2020 with a Bachelor’s Degree in Electronics Engineering from BITS Pilani, Pilani, India - during the course of which I had interned at organisations such as NVIDIA, and start-ups such as Rephrase.ai and Couture.ai.

My primary areas of interest are Deep Learning, Visual Computing, and Computer Graphics. Most my previous research and work has been on Deep Learning for Image / Video Processing and Synthesis, and I have also worked on various projects pertaining to Computer Graphics and Rendering. I currently work on SfM (Structure from Motion) and Neural Graphics for image based rendering and reconstruction.

Download my resumé.

Interests
  • Deep Learning
  • Computer Vision
  • Computer Graphics and Rendering
Education
  • Bachelors Degree in Electronics and Instrumentation Engineering, 2020

    Birla Institute of Technology and Science, Pilani

Personal Projects

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Monte Carlo Path Tracer

Monte Carlo Path Tracer

A monte carlo path tracer implemented in C++.

Object/Mesh Viewer

Object/Mesh Viewer

An interactive mesh (.obj file) viewer using OpenGL and GLSL

Single Image Super Resolution

Single Image Super Resolution

A study of a simple convolutional neural networks for single image super resolution

Text Visual Question Answering

Text Visual Question Answering

A project on visual question answering models that can read

Isolated Gesture Detection

Isolated Gesture Detection

Implemented an end to end neural network for isolated hand gesture detection in short raw video clips.

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