Aayush Bansal

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 31

Top Topics

Top Venues

Publications

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
VR-NeRF: High-Fidelity Virtualized Walkable Spaces. SIGGRAPH Asia (2023)
Aayush Bansal, Michael Zollhöfer
Neural Pixel Composition for 3D-4D View Synthesis from Multi-Views. CVPR (2023)
Rawal Khirodkar, Aayush Bansal, Lingni Ma, Richard A. Newcombe, Minh Vo, Kris Kitani
EgoHumans: An Egocentric 3D Multi-Human Benchmark. ICCV (2023)
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
VR-NeRF: High-Fidelity Virtualized Walkable Spaces. CoRR (2023)
Rawal Khirodkar, Aayush Bansal, Lingni Ma, Richard A. Newcombe, Minh Vo, Kris Kitani
EgoHumans: An Egocentric 3D Multi-Human Benchmark. CoRR (2023)
Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhöfer, Siyu Tang
COAP: Compositional Articulated Occupancy of People. CVPR (2022)
Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito
KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints. ECCV (15) (2022)
Aayush Bansal, Rewa Sharma, Mamta Kathuria
A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications. ACM Comput. Surv. 54 (10s) (2022)
Aayush Bansal, Michael Zollhöfer
Neural Pixel Composition: 3D-4D View Synthesis from Multi-Views. CoRR (2022)
Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhöfer, Siyu Tang
COAP: Compositional Articulated Occupancy of People. CoRR (2022)
Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito
KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints. CoRR (2022)
Zhiqiu Lin, Deva Ramanan, Aayush Bansal
Streaming Self-Training via Domain-Agnostic Unlabeled Images. CoRR (2021)
Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes. CoRR (2021)
Kangle Deng, Aayush Bansal, Deva Ramanan
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders. ICLR (2021)
Kevin Wang, Deva Ramanan, Aayush Bansal
Video Exploration via Video-Specific Autoencoders. CoRR (2021)
Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes. CVPR (2021)
Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos. CoRR (2020)
Kangle Deng, Aayush Bansal, Deva Ramanan
Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders. CoRR (2020)
Aayush Bansal
Improving task-specific representation via 1M unlabelled images without any extra knowledge. CoRR (2020)
Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan
4D Visualization of Dynamic Events From Unconstrained Multi-View Videos. CVPR (2020)
Aayush Bansal, Yaser Sheikh, Deva Ramanan
Shapes and Context: In-the-Wild Image Synthesis & Manipulation. CoRR (2019)
Aayush Bansal, Yaser Sheikh, Deva Ramanan
Shapes and Context: In-The-Wild Image Synthesis & Manipulation. CVPR (2019)
Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh
Recycle-GAN: Unsupervised Video Retargeting. ECCV (5) (2018)
Aayush Bansal, Yaser Sheikh, Deva Ramanan
PixelNN: Example-based Image Synthesis. ICLR (Poster) (2018)
Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh
Recycle-GAN: Unsupervised Video Retargeting. CoRR (2018)
Aayush Bansal, Yaser Sheikh, Deva Ramanan
PixelNN: Example-based Image Synthesis. CoRR (2017)
Anders Øland, Aayush Bansal, Roger B. Dannenberg, Bhiksha Raj
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting. CoRR (2017)
Aayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta, Deva Ramanan
PixelNet: Representation of the pixels, by the pixels, and for the pixels. CoRR (2017)
Aayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta, Deva Ramanan
PixelNet: Towards a General Pixel-level Architecture. CoRR (2016)
Aayush Bansal, Bryan C. Russell, Abhinav Gupta
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. CVPR (2016)
Aayush Bansal, Bryan C. Russell, Abhinav Gupta
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. CoRR (2016)
Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta
Mid-level Elements for Object Detection. CoRR (2015)
Aayush Bansal, Ali Farhadi, Devi Parikh
Towards Transparent Systems: Semantic Characterization of Failure Modes. ECCV (6) (2014)
Aayush Bansal, Hernán Badino, Daniel F. Huber
Understanding how camera configuration and environmental conditions affect appearance-based localization. Intelligent Vehicles Symposium (2014)
Aayush Bansal, Adarsh Kowdle, Devi Parikh, Andrew C. Gallagher, Larry Zitnick
Which Edges Matter? ICCV Workshops (2013)
Brian A. Stancil, Jeff Hyams, Jordan Shelley, Kartik Babu, Hernán Badino, Aayush Bansal, Daniel F. Huber, Parag H. Batavia
CANINE: a robotic mine dog. Intelligent Robots and Computer Vision: Algorithms and Techniques (2013)