Medhini Narasimhan

I am pursuing my Master's in Computer Science at the University of Illinois Urbana-Champaign where I'm also a member of the Vision Lab. I work on Computer Vision and Deep Learning research and I am co-advised by Prof. Alexander Schwing and Prof. Svetlana Lazebnik.

I spent the summer of 2018 at Zillow working with Dr. Ivaylo Boyadhzhiev, Prof. Alex Colburn, and Dr. Qi Shan.

In 2017, I obtained my Bachelor's Degree in Information Technoglogy from National Institute of Technology Karnataka, India.

Email  /  CV  /  Google Scholar  /  Github

Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing
Neural Information Processing Systems (NIPS), 2018
[Pre-print] [Poster]
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
Medhini Narasimhan, Alexander Schwing
European Conference on Computer Vision (ECCV), 2018
[Paper] [Poster] [Bib]
Dynamic video anomaly detection and localization using sparse denoising autoencoders
Medhini Narasimhan, Sowmya Kamath
Multimedia Tools and Applications Journal (MTAP), 2017
[Paper] [Code] [Bib]

Image Credits: Link

EGA-FMC: Enhanced Genetic Algorithm based Fuzzy K-Modes Clustering for Categorical Data
Medhini Narasimhan, Balaji Balasubramanian, Suryansh Kumar, Nagamma Patil
International Journal of Bio-Inspired Computation, 2018
[Paper] [Paper (Drive Link)][Code] [Bib]
Predicting Symptom Severity and Contagiousness of Respiratory Viral Infections (Best Poster Award)
Medhini Narasimhan, Guiseppe Vietri, Arpit Mehta, Farid Rajabli, Vanessa Aguiar-Pulido, Kalai Mathee, Giri Narasimhan
Intelligent Systems for Molecular Biology (ISMB), 2016

I am/have been a teaching assistant for the following courses:

Cloned from here!