Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Bansal Mayank"'
Autor:
Shah, Ketul, Crandall, Robert, Xu, Jie, Zhou, Peng, George, Marian, Bansal, Mayank, Chellappa, Rama
Videos captured from multiple viewpoints can help in perceiving the 3D structure of the world and benefit computer vision tasks such as action recognition, tracking, etc. In this paper, we present a method for self-supervised learning from synchroniz
Externí odkaz:
http://arxiv.org/abs/2401.15900
Autor:
Kim, Jinkyu, Mahjourian, Reza, Ettinger, Scott, Bansal, Mayank, White, Brandyn, Sapp, Ben, Anguelov, Dragomir
Publikováno v:
IEEE International Conference on Robotics and Automation 2022
We introduce a motion forecasting (behavior prediction) method that meets the latency requirements for autonomous driving in dense urban environments without sacrificing accuracy. A whole-scene sparse input representation allows StopNet to scale to p
Externí odkaz:
http://arxiv.org/abs/2206.00991
Autor:
Kim, Jinkyu, Bansal, Mayank
Deep neural networks are a key component of behavior prediction and motion generation for self-driving cars. One of their main drawbacks is a lack of transparency: they should provide easy to interpret rationales for what triggers certain behaviors.
Externí odkaz:
http://arxiv.org/abs/2005.04298
Predicting human behavior is a difficult and crucial task required for motion planning. It is challenging in large part due to the highly uncertain and multi-modal set of possible outcomes in real-world domains such as autonomous driving. Beyond sing
Externí odkaz:
http://arxiv.org/abs/1910.05449
Our goal is to train a policy for autonomous driving via imitation learning that is robust enough to drive a real vehicle. We find that standard behavior cloning is insufficient for handling complex driving scenarios, even when we leverage a percepti
Externí odkaz:
http://arxiv.org/abs/1812.03079
Autor:
Bansal, Mayank, Daniilidis, Kostas
Correspondence is a ubiquitous problem in computer vision and graph matching has been a natural way to formalize correspondence as an optimization problem. Recently, graph matching solvers have included higher-order terms representing affinities beyo
Externí odkaz:
http://arxiv.org/abs/1405.6261
Autor:
Bansal, Mayank1,2 (AUTHOR) drmayankbansal.md@gmail.com, Acharya, Sundaram1,2 (AUTHOR), Sharma, Saumya1,2 (AUTHOR), Phutela, Rhythm1,2 (AUTHOR), Rauthan, Riya1,2 (AUTHOR), Maiti, Souvik1,2 (AUTHOR), Chakraborty, Debojyoti1,2 (AUTHOR)
Publikováno v:
Ophthalmic Genetics. Aug2021, Vol. 42 Issue 4, p365-374. 10p.
Publikováno v:
Journal of Advanced Scientific Research; Nov2023, Vol. 14 Issue 10, p13-21, 9p
Autor:
Kuehlewein, Laura, Bansal, Mayank, Lenis, Tamara L., Iafe, Nicholas A., Sadda, SriniVas R., Bonini Filho, Marco A., De Carlo, Talisa E., Waheed, Nadia K., Duker, Jay S., Sarraf, David
Publikováno v:
In American Journal of Ophthalmology October 2015 160(4):739-748
Autor:
Shakeri Hadis, Mehmet Akcay Izzet, Bansal Mayank, Cai Ying, Vinci Chiara, Pachera Nathalie, Willems Hanne, Fantuzzi Federica, Tong Yue, Gasperikova Daniela, Cnop Miriam
Publikováno v:
Endocrine Abstracts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a76dc0e687a2dd30e7c88c85e50e531f
https://doi.org/10.1530/endoabs.88.004
https://doi.org/10.1530/endoabs.88.004