I am a PhD candidate in Robotics and Artificial Intelligence at the Robotics Institute, Carnegie Mellon University, advised by Abhinav Gupta. I also collaborate frequently with Alyosha Efros and Martial Hebert. My research revolves around scalable visual recognition algorithms for discovering and harnessing structure in large-scale data.
During my PhD, I was supported by Microsoft Research PhD Fellowship for 2014-16. I have also enjoyed working with awesome researchers and engineers in industry, including internships at Google Research and Microsoft Research (details).
Before joining PhD, I received my Masters from the Robotics Institute, under the supervision of Alyosha Efros and Martial Hebert. Prior to that, I did my undergrad in Computer Science and Engineering from JIIT, Noida (India), where my thesis was on 'A Hypermedia-development Tool for Movie-based Comic-strip Rendering'.
Working on discovering the underlying regularities, or structure, in our visual world and leveraging it in large-scale recognition algorithms and systems. This work spans a wide range of recognition tasks, and includes frequent collaborations with researchers from both academia and industry.
Worked on data-driven visual similarity for image matching and retrieval, real-time assistive systems, and object detection.
Thesis on 'A Hypermedia-development Tool for Movie-based Comic-strip Rendering'.
Continued Masters research on image matching and retrieval, real-time assistive systems, and object detection; and worked on large-scale semi-supervised learning algorithm.
I enjoy working on artificial intelligence, particularly computer vision and machine learning; and my research interests include related fields such as robotics, graphics, natural language processing, human-computer interaction, systems, data mining, and cognitive and computational neuroscience.
My long term goal is to equip machines with visual perception abilities, which enables them to understand and respond to their surroundings.