Aayush Bansal (original) (raw)

Academic Service

Organizing : Three questions about virtual try-on @ CVPR 2025
Area Chair : CVPR 2025, CVPR 2024.
Reviewer : CVPR (outstanding reviewer x2), ECCV (outstanding reviewer x1), ICCV, NeurIPS (outstanding reviewer x1), ICLR, ICML, SIGGRAPH, TPAMI, IJCV, TOG.

Research

My goal is to build artificial intelligence based on task-and-domain-agnostic exemplar representations learned in an unsupervised manner.

	VR-NeRF: High-Fidelity Virtualized Walkable Spaces Linning Xu, Vasu Agrawal,William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulo, Lorenzo Porzi, Peter Kontschieder, Aljaz Bozic, Dahua Lin, Michael Zollhoefer, Christian Richardt SIGGRAPH Asia (Conference), 2023 project page / arXiv

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| | 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 | | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |

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

New Art Display