Megha Nawhal
|
I am a Research Software Engineer at Google Research.
Earlier, I finished my PhD from the School of Computing Science at Simon Fraser University advised by Greg Mori. My PhD dissertation focused on designing novel compositional models for human activity videos. During my PhD, I also did research internships at Facebook Reality Labs, Google Research, Adobe Research and Borealis AI (Vancouver).
Previously, I worked as a Research Scientist in the Cognitive Industry Solutions group at IBM Research, Bangalore. Earlier, I graduated from IIT Kanpur where I completed my B.Tech-M.Tech (Dual degree) in Electrical Engineering. During this, I also spent time at Sony Corporation, Japan as an intern in Summer 2013.
CV | Google Scholar | LinkedIn
|
 |
|
|
Rethinking Learning Approaches for Long Term Action Anticipation
Megha Nawhal, Akash Abdu Jyothi, Greg Mori
European Conference on Computer Vision (ECCV), 2022
paper | bibtex | webpage | poster | video
|
|
|
Activity Graph Transformer for Temporal Action Localization
Megha Nawhal, Greg Mori
arxiv | webpage
|
|
|
MCMI: Multi-Cyle Image Translation with Mutual Information Constraints
Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva
arxiv
|
|
|
Generating Videos of Zero-Shot Compositions of Actions and Objects
Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori
European Conference on Computer Vision (ECCV), 2020
paper | bibtex | slides | video | webpage
|
|
|
Continuous Graph Flow
Zhiwei Deng*, Megha Nawhal*, Lili Meng, Greg Mori
ICML 2020 - Workshop on Graph Representation Learning and Beyond
paper | bibtex | webpage
|
|
|
PiggybackGAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Fred Tung, Greg Mori
European Conference on Computer Vision (ECCV), 2020
paper | bibtex
|
|
|
LifelongGAN: Continual Learning for Conditional Image Generation
Mengyao Zhai, Lei Chen, Fred Tung, Jiawei He, Megha Nawhal, Greg Mori
International Conference on Computer Vision (ICCV), 2019
paper | bibtex
|
|
|
VideoWhiz: Non-Linear Interactive Overviews for Recipe Videos
Megha Nawhal, Jacqueline B Lang, Greg Mori, Parmit Chilana
Graphics Interface (GI), 2019
paper | bibtex
|
|
|
Learning Disentangled Multimodal Representations for Fashion Domain
Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
paper | bibtex
|
|
|
Improved Scene Capture in Unfavorable Lighting Conditions
Megha Nawhal, Saumik Bhattacharya, K S Venkatesh
IEEE International Conference on Image Processing (ICIP), 2017
paper | bibtex
|
|
