Medhini Narasimhan

Hi! I'm a Ph.D. candidate at UC Berkeley, where I'm advised by Prof. Trevor Darrell and a member of Berkeley AI Research (BAIR). My research focus is on self-supervised and cross-modal representation learning and video understanding.

I completed my Master's in Computer Science at the UIUC where I was advised by Prof. Alexander Schwing and Prof. Svetlana Lazebnik. In 2017, I obtained my Bachelor's Degree from NITK, India.

I've had the pleasure of interning at:

I am a Snap Research Scholar (2019) and a Siebel Scholar (2018)!

Email |  CV |  Google Scholar |  Github |  LinkedIn

Research
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures
 
Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alyosha Efros,
Trevor Darrell
arXiv 2021
 
Paper| Website| Video
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation
 
Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra,
Devi Parikh, Amanpreet Singh
European Conference on Computer Vision (ECCV), 2020
 
Paper
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
 
Paper| Poster| Video| Bib
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| 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
 
[Poster]
Teaching

I have been a teaching assistant for the following courses:

Community Service

I have reviewed for:

  • Conferences: CVPR, ICCV, ECCV, NeurIPS, CoRL
  • Jounrals: PAMI, CVIU


Cloned from here!