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pro vyhledávání: '"Gurram, Akhil"'
Publikováno v:
2023 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Domain adaptive semantic segmentation methods commonly utilize stage-wise training, consisting of a warm-up and a self-training stage. However, this popular approach still faces several challenges in each stage: for warm-up, the widely adopted advers
Externí odkaz:
http://arxiv.org/abs/2304.02222
Autor:
Gurram, Akhil, Lopez, Antonio M.
Monocular Depth Estimation (MDE) is performed to produce 3D information that can be used in downstream tasks such as those related to on-board perception for Autonomous Vehicles (AVs) or driver assistance. Therefore, a relevant arising question is wh
Externí odkaz:
http://arxiv.org/abs/2302.10007
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Due to the lack of training labels and the difficulty of annotating, dealing with adverse driving conditions such as nighttime has posed a huge challenge to the perception system of autonomous vehicles. Therefore, adapting knowledge from a labelled d
Externí odkaz:
http://arxiv.org/abs/2211.11870
Publikováno v:
32nd British Machine Vision Conference 2021, BMVC 2021
Due to the difficulty of obtaining ground-truth labels, learning from virtual-world datasets is of great interest for real-world applications like semantic segmentation. From domain adaptation perspective, the key challenge is to learn domain-agnosti
Externí odkaz:
http://arxiv.org/abs/2111.15300
Depth information is essential for on-board perception in autonomous driving and driver assistance. Monocular depth estimation (MDE) is very appealing since it allows for appearance and depth being on direct pixelwise correspondence without further c
Externí odkaz:
http://arxiv.org/abs/2103.12209
A crucial component of an autonomous vehicle (AV) is the artificial intelligence (AI) is able to drive towards a desired destination. Today, there are different paradigms addressing the development of AI drivers. On the one hand, we find modular pipe
Externí odkaz:
http://arxiv.org/abs/1906.03199
Depth estimation provides essential information to perform autonomous driving and driver assistance. Especially, Monocular Depth Estimation is interesting from a practical point of view, since using a single camera is cheaper than many other options
Externí odkaz:
http://arxiv.org/abs/1803.08018
Autor:
Gurram, Akhil
Publikováno v:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
TDX (Tesis Doctorals en Xarxa)
TDR. Tesis Doctorales en Red
instname
Universitat Autònoma de Barcelona
TDX (Tesis Doctorals en Xarxa)
TDR. Tesis Doctorales en Red
instname
La informació geomètrica 3D és essencial per percebre l’entorn des d’un vehicle autònom (VA) o assistit. Per això, estan equipats amb sensors calibrats. Podem trobar sensors LiDAR que proporcionen aquesta informació 3D, encara que són rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::12711a90ba899ecd199f0e9edb287d33
https://ddd.uab.cat/record/265970
https://ddd.uab.cat/record/265970
Autor:
Gurram, Akhil1, Krishna, Neethu1, Vasudevan, Anu2, Baquero, Luis3, Jayant, Aveek4, Varma, Praveen1, Baquero, Luis Alberto5 (AUTHOR), Varma, Praveen Kerala6 (AUTHOR)
Publikováno v:
Annals of Cardiac Anaesthesia. Apr-Jun2019, Vol. 22 Issue 2, p187-193. 7p.
Akademický článek
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