Aayush Bansal

About me    
I am a Masters student (Aug'13 - May'15 expected) at the Robotics Institute of Carnegie Mellon University, where I am supervised by Dr. Abhinav Gupta. My research focusses on object detection, domain adaptation and video event understanding. I also collaborate with Dr. Samarjit Das (Bosch Research and Technology, Pittsburgh) to apply my object detection approach for DIY applications at Bosch. Prior to joining RI-CMU as a graduate student, I worked with Dr. Devi Parikh. I completed my undergraduate coursework in ECE from University of Delhi, Netaji Subhas Institute of Technology (formerly Delhi Institute of Technology)  in 2011.

Email: aayushb [at] cs  [dot] cmu [dot] edu

Research Interests: Computer Vision, Artificial Intelligence and Mobile Robots.


Projects

Semantic Characterization of Failure Modes 
         

      A. BansalA. Farhadi, and  D. Parikh

       Towards Transparent Systems: Semantic Characterization of Failure Modes.

       To Appear in      
       European Conference on Computer Vision (ECCV), 2014.




Real Time Topometric Localization 
 
  


       

       

       A. Bansal, H. Badino and D. Huber

       Understanding How Camera Configuration and Environmental Conditions 

       Affect Appearance-based Localization  [pdf] [Dataset will be released soon]

       IEEE Intelligent Vehicles (IV), 2014.




 



       A. BansalA. Kowdle, D. ParikhA. C. Gallagher and C. L. Zitnick

       Which Edges Matter? [pdf]

       Workshop on 3D Representation and Recognition (3dRR) 
       International Conference on Computer Vision (ICCV), 2013.










http://www.ri.cmu.edu/pub_files/2013/2/Neya_CANINE_SPIE_final.pdf


B. A. Stancil, J. Hyams, J. Shelly, K. Babu, H. BadinoA. BansalD. Huber, P. Batavia
CANINE: A Robotic Mine Dog [pdf] | [demo] [Details]
Proceedings of the IS&T/SPIE Electronic Imaging, February 2013




     

       A. Bansal, S.Tully, and H. Choset

       Multi-Robot Cooperative Localization [Poster]