Welcome to my homepage.

I am interested in making robots more intelligent by enabling them to better understand what they see.


I am a PhD Robotics student at Georgia Tech advised by James Hays. I'm interested in computer vision and machine learning problems for robotics. Some topics of interest are object detection, learning to navigate, and learning from multimodal data.

I have a Masters degree in Robotics from the University of Pennsylvania, where I had the pleasure to work with Dr. Kostas Daniilidis. Before that, I got a bachelor's degree in electronics and communication engineering from Nirma University, India.



DeepNav: Learning to Navigate Large Cities CVPR 2017

Learning to navigate large cities by training convolutional neural networks to make a navigation decision from the current street-view image.

arXiv bib

WACV 2017

StuffNet: Using 'Stuff' to Improve Object Detection IEEE WACV 2017

Improving deep-learning object detection by looking at 'stuff' surrounding objects.

arXiv paper bib code and models

BMVC 2015

Occlusion-Aware Object Localization, Segmentation and Pose Estimation BMVC 2015

Detection, segmentation and 3D pose estimation of partially occluded objects.

arXiv paper bib

Masters Thesis

Masters' Thesis Fall 2014

Detection and segmentation of partially occluded objects.

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PR2 Research

3D Pose Estimation Summer 2013

We made GRASPY, Penn's PR2 robot detect and estimate the 6-DOF pose of household objects, all from one 2D image.

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RoboCup Kid Size League Summer 2013

Our Team DARwIN won the Humanoid Kid Size League world championships.

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Summer 2011

Robotic Arm Control Using Kinect Summer 2011

We used a Kinect to segment spherical and cylindrical objects lying on a table and guided a robotic arm to their 3D position.

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