Research
I'm interested in Localization & Mapping, Computer Vision/Graphics, Cognitive Neuroscience (Intuitive Physics), and their applications to downstream robotic tasks such as embodied navigation, autonomous driving. Prior to my current interests I have also worked on Medical Image Analysis and Natural Language Processing.
Publications
A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition
IEEE Robotics and Automation Letters (RA-L) & IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
AirObject: An Evolving Topological Graph-based Object Encoding for Semantic Loop Closure
Robotics Institute Summer Scholar’ Working Papers Journal 2021
Projects
GradSLAM-RGB-D-Completion
- Leveraged Multi-view gradients from GradSLAM to optimize RGB-D Images
- Performed extensive initialization experiments and gained insights on the potential of the gradslam framework for differentiable rendering and representation learning
COVID-19 Twitter Sentiment Analysis India (IBM Hackathon 2020)
- Developed a Visualization Dashboard for COVID-19 Twitter Sentiment Analysis & Extraction using a modified Roberta & Roberta-CNN model
Twitter Sentiment Extraction (Kaggle Competition)
- Developed a modified Roberta base model with CNN head for Twitter Sentiment Extraction & Implemented Teacher Student learning and Ensembling for improvement of Model Performance
- Placed 58/2,227 (Top 3%) - Silver Medal
Reddit Flair Predictor
- Developed an XLNet language model based on Transfer Learning & a Web Application based on Flask API for Reddit Flair Classification
Events and Service
Organizer: Tartan SLAM Series at CMU Robotics
Reviewer: IEEE Robotics and Automation Letters (RA-L)