Aayush Bansal

I am a PhD candidate at the Robotics Institute of Carnegie Mellon University, where I am co-advised by Deva Ramanan and Yaser Sheikh, and closely collaborate with Srinivasa Narasimhan.

I received an Uber Presidential Fellowship for 2016-17 and named a Presidential Fellow at CMU, a Qualcomm Fellowship for 2017-18, and a Snap Fellowship for 2019.

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

Research

teaser_pix

Shapes and Context : In-the-wild Image Synthesis & Manipulation
Aayush Bansal, Yaser Sheikh, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2019
(Oral Presentation, Best Paper Award Finalist)
project page / paper / arXiv / five minutes / CVPR Talk


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


teaser_pix

Patch Correspondences for Intepreting Pixel-level CNNs
Victor Fragoso, Chunhui Liu, Aayush Bansal, Deva Ramanan
arXiv

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 / paper / codes


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


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
VT NEWS / Virginia Center for Autonomous Systems


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


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


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.

External Coverage/Opinions

I get a lot of request from the various media folks to generate videos for them. At times, I have created videos for their stories. Unfortunately, I cannot support all the requests due to limited computational resources. You may check out the existing videos on project webpages or check the links below to know various opinions about my work:

                                                                                                                                                                                                     


Thanks to Jon Barron for the webpage design!