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pro vyhledávání: '"Behl, Aseem"'
It is well known that semantic segmentation can be used as an effective intermediate representation for learning driving policies. However, the task of street scene semantic segmentation requires expensive annotations. Furthermore, segmentation algor
Externí odkaz:
http://arxiv.org/abs/2005.10091
Despite significant progress in image-based 3D scene flow estimation, the performance of such approaches has not yet reached the fidelity required by many applications. Simultaneously, these applications are often not restricted to image-based estima
Externí odkaz:
http://arxiv.org/abs/1806.02170
Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the field as a beg
Externí odkaz:
http://arxiv.org/abs/1704.05519
Publikováno v:
Foundations & Trends in Computer Graphics & Vision; 2020, Vol. 12 Issue 1-3, p1-308, 308p
Akademický článek
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Publikováno v:
Computer Vision - ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV; 2014, p609-623, 15p
Publikováno v:
International Conference on Oxide Materials for Electronic Engineering - Fabrication, Properties & Applications (OMEE-2014); 2014, p1011-1018, 8p
Autor:
Sukhwani, Mohak, Singh, Suriya, Goyal, Anirudh, Behl, Aseem, Mohapatra, Pritish, Bharti, Brijendra, Jawahar, C.
Publikováno v:
2014 IEEE International Conference on Vehicular Electronics & Safety; 2014, p11-16, 6p