Aayush Bansal

According to our database, Aayush Bansal authored at least 28 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image - Technical Preview.

Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo, Yu-Xiong Wang

CoRR, September, 2025

Dress&Dance: Dress up and Dance as You Like It - Technical Preview.

Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo, Yu-Xiong Wang

CoRR, August, 2025

2023

VR-NeRF: High-Fidelity Virtualized Walkable Spaces.

Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Aljaz Bozic, Dahua Lin, Michael Zollhöfer, Christian Richardt

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

EgoHumans: An Egocentric 3D Multi-Human Benchmark.

Rawal Khirodkar, Aayush Bansal, Lingni Ma, Richard A. Newcombe, Minh Vo, Kris Kitani

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Pixel Composition for 3D-4D View Synthesis from Multi-Views.

Aayush Bansal, Michael Zollhöfer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications.

Aayush Bansal, Rewa Sharma, Mamta Kathuria

ACM Comput. Surv., January, 2022

KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints.

Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito

Proceedings of the Computer Vision - ECCV 2022, 2022

COAP: Compositional Articulated Occupancy of People.

Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhöfer, Siyu Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unsupervised Learning of the 4D Audio-Visual World from Sparse Unconstrained Real-World Samples.

Aayush Bansal

PhD thesis, 2021

Streaming Self-Training via Domain-Agnostic Unlabeled Images.

Zhiqiu Lin, Deva Ramanan, Aayush Bansal

CoRR, 2021

Video Exploration via Video-Specific Autoencoders.

Kevin Wang, Deva Ramanan, Aayush Bansal

CoRR, 2021

Unsupervised Audiovisual Synthesis via Exemplar Autoencoders.

Kangle Deng, Aayush Bansal, Deva Ramanan

Proceedings of the 9th International Conference on Learning Representations, 2021

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes.

Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Improving task-specific representation via 1M unlabelled images without any extra knowledge.

Aayush Bansal

CoRR, 2020

Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders.

Kangle Deng, Aayush Bansal, Deva Ramanan

CoRR, 2020

4D Visualization of Dynamic Events From Unconstrained Multi-View Videos.

Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Shapes and Context: In-The-Wild Image Synthesis & Manipulation.

Aayush Bansal, Yaser Sheikh, Deva Ramanan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

PixelNN: Example-based Image Synthesis.

Aayush Bansal, Yaser Sheikh, Deva Ramanan

Proceedings of the 6th International Conference on Learning Representations, 2018

Recycle-GAN: Unsupervised Video Retargeting.

Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting.

Anders Øland, Aayush Bansal, Roger B. Dannenberg, Bhiksha Raj

CoRR, 2017

PixelNet: Representation of the pixels, by the pixels, and for the pixels.

Aayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta, Deva Ramanan

CoRR, 2017

2016

PixelNet: Towards a General Pixel-level Architecture.

Aayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta, Deva Ramanan

CoRR, 2016

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction.

Aayush Bansal, Bryan C. Russell, Abhinav Gupta

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Mid-level Elements for Object Detection.

Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta

CoRR, 2015

2014

Understanding how camera configuration and environmental conditions affect appearance-based localization.

Aayush Bansal, Hernán Badino, Daniel F. Huber

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Towards Transparent Systems: Semantic Characterization of Failure Modes.

Aayush Bansal, Ali Farhadi, Devi Parikh

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Which Edges Matter?

Aayush Bansal, Adarsh Kowdle, Devi Parikh, Andrew C. Gallagher, Larry Zitnick

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

CANINE: a robotic mine dog.

Brian A. Stancil, Jeff Hyams, Jordan Shelley, Kartik Babu, Hernán Badino, Aayush Bansal, Daniel F. Huber, Parag H. Batavia

Proceedings of the Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 2013