CANINE: a robotic mine dog. - Brian A. Stancil; Jeff Hyams; Jordan Shelley; Kartik Babu; Hernán Badino; Aayush Bansal; Daniel F. Huber; Parag H. Batavia (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2013)

Which Edges Matter? - Aayush Bansal; Adarsh Kowdle; Devi Parikh; Andrew C. Gallagher; Larry Zitnick (ICCV Workshops, 2013)

Towards Transparent Systems: Semantic Characterization of Failure Modes. - Aayush Bansal; Ali Farhadi; Devi Parikh (ECCV (6), 2014)

Understanding how camera configuration and environmental conditions affect appearance-based localization. - Aayush Bansal; Hernán Badino; Daniel F. Huber (Intelligent Vehicles Symposium, 2014)

Mid-level Elements for Object Detection. - Aayush Bansal; Abhinav Shrivastava; Carl Doersch; Abhinav Gupta 001 (CoRR, 2015)

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. - Aayush Bansal; Bryan C. Russell; Abhinav Gupta 001 (CVPR, 2016)

PixelNet: Towards a General Pixel-level Architecture. - Aayush Bansal; Xinlei Chen; Bryan C. Russell; Abhinav Gupta 001; Deva Ramanan (CoRR, 2016)

PixelNet: Representation of the pixels, by the pixels, and for the pixels. - Aayush Bansal; Xinlei Chen; Bryan C. Russell; Abhinav Gupta 001; Deva Ramanan (CoRR, 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)

Recycle-GAN: Unsupervised Video Retargeting. - Aayush Bansal; Shugao Ma; Deva Ramanan; Yaser Sheikh (ECCV (5), 2018)

PixelNN: Example-based Image Synthesis. - Aayush Bansal; Yaser Sheikh; Deva Ramanan (ICLR (Poster), 2018)

Shapes and Context: In-The-Wild Image Synthesis & Manipulation. - Aayush Bansal; Yaser Sheikh; Deva Ramanan (CVPR, 2019)

4D Visualization of Dynamic Events From Unconstrained Multi-View Videos. - Aayush Bansal; Minh Vo; Yaser Sheikh; Deva Ramanan; Srinivasa G. Narasimhan (CVPR, 2020)

Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders. - Kangle Deng; Aayush Bansal; Deva Ramanan (CoRR, 2020)

Improving task-specific representation via 1M unlabelled images without any extra knowledge. - Aayush Bansal (CoRR, 2020)

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes. - Julian Chibane; Aayush Bansal; Verica Lazova; Gerard Pons-Moll (CVPR, 2021)

Unsupervised Audiovisual Synthesis via Exemplar Autoencoders. - Kangle Deng; Aayush Bansal; Deva Ramanan (ICLR, 2021)

Video Exploration via Video-Specific Autoencoders. - Kevin Wang; Deva Ramanan; Aayush Bansal (CoRR, 2021)

Streaming Self-Training via Domain-Agnostic Unlabeled Images. - Zhiqiu Lin; Deva Ramanan; Aayush Bansal (CoRR, 2021)

Unsupervised Learning of the 4D Audio-Visual World from Sparse Unconstrained Real-World Samples. - Aayush Bansal (2021)

COAP: Compositional Articulated Occupancy of People. - Marko Mihajlovic; Shunsuke Saito; Aayush Bansal; Michael Zollhöfer; Siyu Tang 001 (CVPR, 2022)

KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints. - Marko Mihajlovic; Aayush Bansal; Michael Zollhöfer; Siyu Tang 001; Shunsuke Saito (ECCV (15), 2022)

A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications. - Aayush Bansal; Rewa Sharma; Mamta Kathuria (ACM Comput. Surv., 2022)

Neural Pixel Composition for 3D-4D View Synthesis from Multi-Views. - Aayush Bansal; Michael Zollhöfer (CVPR, 2023)

EgoHumans: An Egocentric 3D Multi-Human Benchmark. - Rawal Khirodkar; Aayush Bansal; Lingni Ma; Richard A. Newcombe; Minh Vo; Kris Kitani (ICCV, 2023)

VR-NeRF: High-Fidelity Virtualized Walkable Spaces. - Linning Xu; Vasu Agrawal; William Laney; Tony Garcia; Aayush Bansal; Changil Kim 001; Samuel Rota Bulò; Lorenzo Porzi; Peter Kontschieder; Aljaz Bozic; Dahua Lin; Michael Zollhöfer; et al. (SIGGRAPH Asia, 2023)