Working on Neural Rendering and Implicit Representations of Scene with Aakash KT and Prof P.J Narayanan.Work primarily in the region of appearance editing of objects captured in the wild;HDR image prediction of indoor scenes and object insertion
Working with Prof Jean-Francois Lalonde in panoramic novel view synthesis of indoor scenes in high resolution. Funded by Mitacs-Canada
Worked under Prof Vasudev Varma and Balaji Vasan Srinivasan (Adobe) in the area of multimodal text summarization and GAN based text to image techniques.
Took tutorials curated assignments and graded marksheets for courses : 1) Computer Vision 2) Statistical Methods in AI 3) Digital System & Microcontrollers
Deep Learning Intern
Ported different object detection and semantic segmentation algorithms into Tensorflow 2.2.Integrated them into a single library for easy use.
Designed over 200 questions to be used in various challenges.Made benchmarks and tested different research based challenges.
Computer Vision Intern
Designed tools to benchmark images captured with various SOTA algorithms.Assisted in capturing data and improving image quality captured by the camera.