I am an Assistant Professor in the Department of Computer Science at University of Maryland, College Park, with a joint appointment in the University of Maryland Institute of Advanced Computer Studies (UMIACS). Before this, I spent 1 year as a Visiting Research Scientist at Google Research.
In August 2017, I received my PhD in Robotics and Artificial Intelligence from the Robotics Institute, Carnegie Mellon University, where I was advised by Abhinav Gupta. My PhD thesis, Discovering and Leveraging Visual Structure for Large-scale Recognition, was supported by Microsoft Research PhD Fellowship for 2014-16.
Before joining PhD, I received my Masters from the Robotics Institute, under the supervision of Alyosha Efros and Martial Hebert. Prior to that, I received my BTech in Computer Science and Engineering from JIIT (Noida, India).
I have also enjoyed working with awesome researchers and engineers in industry, including internships at Google Research and Microsoft Research (details).
Joint appointments in Department of Computer Science and University of Maryland Institute of Advanced Computer Studies (UMIACS).
(details to follow)
(details to follow)
Continued Masters research on image matching and retrieval, real-time assistive systems, and object detection; and worked on large-scale semi-supervised learning algorithm.
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.
Find my dissertation here.
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'.
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.