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

Research

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


teaser_pix

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


teaser_pix

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

teaser_pix

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

teaser_2d-3d

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


teaser_mid-obj

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.

teaser_failure-modes

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.

teaser_localization

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.

teaser_edges

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.

teaser_canine

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.


Teaching

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

Miscellaneous

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


Thanks to Jon Barron for the webpage design!