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.

I co-organize the CMU AI Seminar Series. Feel free to drop me an email if you are interested in giving a talk.

Email  /  CV  /  Google Scholar  /  GitHub


4D Visualization of Dynamic Events from
Unconstrained Multi-View Videos

Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa Narasimhan
We can create virtual cameras that facilitate:
1. freezing the time and exploring views;
2. freezing a view and move through time;
3. vary both space and time;
4. seeing behind occlusions and editing videos.

Unsupervised Any-to-Many Audiovisual Synthesis
via Exemplar Autoencoders

Kangle Deng, Aayush Bansal, Deva Ramanan

project page / pre-print / arXiv / summary
web-app (beta version) / code / demo video

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
web-app (beta version) / code / demo video

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


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


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


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


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


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


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


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


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


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


CMU AI Seminar Series
Smith Hall Messiest Desk Award
Unsung heroes in Science: The ones who I have read so far.

External Coverage/Opinions



Thanks to Jon Barron for the webpage design!