Medhini Narasimhan

Hi! I'm a 4th year Ph.D. candidate at UC Berkeley, where I'm advised by Prof. Trevor Darrell and a member of Berkeley AI Research (BAIR). My research focuses on designing computer vision models that can understand and learn from the plethora of internet videos, in a fashion similar to humans. To this end, my recent work explores learning multimodal representations from videos and using these to summarize and edit videos.

I'm also interested in vision applications for wildlife conservation. I help co-organize the Berkeley AI Research Climate Initiative, where we focus on developing real-world solutions to mitigate the effects of climate change.

Prior to Berkeley, 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 have been fortunate to intern at Facebook AI Research in Summer 2019 and 2022, Google Research in Summer 2021 and at Zillow Research in Summer 2018.

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

Email |  CV |  Google Scholar |  Github |  LinkedIn

Research
Learning and Verification of Task Structure from Instructional Videos
 
Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell
arXiv 2023 (In Submission)
 
Paper | Website | Code
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency
 
Medhini Narasimhan, Arsha Nagrani, Chen Sun, Miki Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid
ECCV 2022
 
Paper | Website | Code
CLIP-It! Language-Guided Video Summarization
 
Medhini Narasimhan, Anna Rohrbach, Trevor Darrell
Neurips 2021
 
Paper | Website | Code
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures
(Best Paper, Honorable Mention)
 
Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alyosha Efros,
Trevor Darrell
WaCV 2022
 
Paper | Website | Code | Video | AICC CVPR Workshop Paper
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
ECCV 2020
 
Paper
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
 
Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing
Neurips 2018
 
Paper | Poster | Video | Bib
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
 
Medhini Narasimhan, Alexander Schwing
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
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!