Aayush Bansal
Aayush Bansal
Robotics Institute, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
A Bansal, B Russell, A Gupta
CVPR, 2016
2482016
Recycle-GAN: Unsupervised Video Retargeting
A Bansal, S Ma, D Ramanan, Y Sheikh
ECCV, 2018
1992018
PixelNet: Representation of the pixels, by the pixels, and for the pixels
A Bansal, X Chen, B Russell, A Gupta, D Ramanan
arXiv preprint arXiv:1702.06506, 2017
183*2017
PixelNN: Example-based Image Synthesis
A Bansal, Y Sheikh, D Ramanan
ICLR, 2018
442018
Towards Transparent Systems: Semantic Characterization of Failure Modes
A Bansal, A Farhadi, D Parikh
ECCV, 2014
402014
Understanding How Camera Configuration and Environmental Conditions Affect Appearance-based Localization
A Bansal, H Badino, D Huber
Intelligent Vehicles 2014, 2014
292014
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos
A Bansal, M Vo, Y Sheikh, D Ramanan, S Narasimhan
CVPR, 2020
152020
Mid-level Elements for Object Detection
A Bansal, A Shrivastava, C Doersch, A Gupta
arXiv preprint arXiv:1504.07284, 2015
132015
Shapes and Context: In-The-Wild Image Synthesis & Manipulation
A Bansal, Y Sheikh, D Ramanan
CVPR, 2019
112019
Which Edges Matter?
A Bansal, A Kowdle, D Parikh, A Gallagher, C Zitnick
Workshop on 3D Representation and Recognition, ICCV 2013, 2013
102013
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
J Chibane, A Bansal, V Lazova, G Pons-Moll
34th IEEE Conference on Computer Vision and Pattern Recognition, 2021
92021
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
K Deng, A Bansal, D Ramanan
ICLR, 2021
3*2021
Patch Correspondences for Interpreting Pixel-level CNNs
V Fragoso, C Liu, A Bansal, D Ramanan
arXiv preprint arXiv:1711.10683, 2017
22017
Video Exploration via Video-Specific Autoencoders
K Wang, D Ramanan, A Bansal
arXiv preprint arXiv:2103.17261, 2021
12021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Z Lin, D Ramanan, A Bansal
arXiv preprint arXiv:2104.03309, 2021
2021
Unsupervised Learning of the 4D Audio-Visual World from Sparse Unconstrained Real-World Samples
A Bansal
Carnegie Mellon University, 2021
2021
CANINE: a robotic mine dog
BA Stancil, J Hyams, J Shelley, K Babu, H Badino, A Bansal, D Huber, ...
Intelligent Robots and Computer Vision XXX: Algorithms and Techniques 8662, 2013
2013
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Articles 1–17