Aayush Bansal

I am a PhD student (2015-) at the Robotics Institute of Carnegie Mellon University, where I am supervised by Deva Ramanan and Yaser Sheikh.

I received the prestigious Qualcomm Fellowship for 2017-18, an Uber Presidential Fellowship for 2016-17, and named a Presidential Fellow at CMU.

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


Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh
European Conference on Computer Vision (ECCV), 2018
project page / pre-print


An Intriguing Influence of Visual Data in Learning a Representation
Aayush Bansal
Technical Report


PixelNN: Example-based Image Synthesis
Aayush Bansal, Yaser Sheikh, Deva Ramanan
International Conference on Learning Representations (ICLR), 2018
project page / arXiv


PixelNet: Representation of the pixels, by the pixels, and for the pixels.
Aayush Bansal, Xinlei Chen, Bryan Russell, Abhinav Gupta, Deva Ramanan
project page / arXiv / codes


Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal, Bryan Russell, Abhinav Gupta
Computer Vision and Pattern Recognition (CVPR), 2016
project page /arXiv preprint / codes


Mid-level Elements for Object Detection
Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta
arXiv / analysis

We proposed an object detection approach using HoG-based mid-level elements. Without using any contextual reasoning and external data, this method achieved a mean average precision (mAP) of 41.9 on PASCAL VOC 2007, and mAP of 37.1 on VOC 2010. This is comparable to existing state-of-the-art techniques on comp-3 evaluation.


Towards Transparent Systems: Semantic Characterization of Failure Modes
Aayush Bansal, Ali Farhadi, Devi Parikh
European Conference on Computer Vision (ECCV), 2014
project page / supplementary material

We proposed an approach that identifies patterns in failures and summarizes them with a human understandable characterization using attributes.


Understanding How Camera Configuration and Environmental Conditions Affect Appearance-based Localization
Aayush Bansal, Hernan Badino, Daniel Huber
IEEE Intelligent Vehicles (IV), 2014
project page

We analyzed different sensor configurations and environmental conditions for topometric localization algorithm.


Which Edges Matter?
Aayush Bansal, Adarsh Kowdle, Devi Parikh, Andrew Gallagher, Larry Zitnick
Workshop on 3D Representation and Recognition (3dRR) at ICCV, 2013
project page / presentation

We evaluated the information conveyed by different edges through human studies.


CANINE : A robotic mine dog
B. A. Stancil, J. Hyams, J. Shelly, K. Babu, H. Badino, A. Bansal, D. Huber, P. Batavia
IS&T Conference on Electronic Imaging (SPIE), 2013
project page / video / competition rules

I wrote the object detection module for this robot.


Geometry-based Methods in Computer Vision (16-822), CMU
Teaching Assistant (TA) with Prof Martial Hebert
Fall 2017

Computer Vision (16-720), CMU
Teaching Assistant (TA) with Prof Srinivasa Narasimhan
Spring 2015


Unsung heroes in Science: The ones who I have read so far.

Thanks to Jon Barron for the webpage design!