Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Wouter Van Gansbeke"'
Autor:
Marc Proesmans, Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(7)
With the advent of deep learning, many dense prediction tasks, i.e. tasks that produce pixel-level predictions, have seen significant performance improvements. The typical approach is to learn these tasks in isolation, that is, a separate neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f92255af108f021d54620e20b15695a4
https://pubmed.ncbi.nlm.nih.gov/33497328
https://pubmed.ncbi.nlm.nih.gov/33497328
Publikováno v:
IEEE Robotics and Automation Letters, 5 (4)
Autonomous cars need continuously updated depth information. Thus far, depth is mostly estimated independently for a single frame at a time, even if the method starts from video input. Our method produces a time series of depth maps, which makes it a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::822e751132ac6a04e210a05ff3ef0cdb
http://arxiv.org/abs/2001.02613
http://arxiv.org/abs/2001.02613
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586065
ECCV (10)
ECCV (10)
Can we automatically group images into semantically meaningful clusters when ground-truth annotations are absent? The task of unsupervised image classification remains an important, and open challenge in computer vision. Several recent approaches hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e6bbd37f0c4ca4a9a57064f6875512
Publikováno v:
MVA
This work proposes a new method to accurately complete sparse LiDAR maps guided by RGB images. For autonomous vehicles and robotics the use of LiDAR is indispensable in order to achieve precise depth predictions. A multitude of applications depend on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9eea9a0e39407f3b57e33e44c98679
https://doi.org/10.23919/mva.2019.8757939
https://doi.org/10.23919/mva.2019.8757939
Publikováno v:
ICCV Workshops
Lane detection is typically tackled with a two-step pipeline in which a segmentation mask of the lane markings is predicted first, and a lane line model (like a parabola or spline) is fitted to the post-processed mask next. The problem with such a tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9aa0af590b9bd37227191e47d777905
http://arxiv.org/abs/1902.00293
http://arxiv.org/abs/1902.00293
Autor:
Rajapaksha, Uchitha1 (AUTHOR) Uchitha17669@gmail.com, Sohel, Ferdous1 (AUTHOR) F.Sohel@murdoch.edu.au, Laga, Hamid1 (AUTHOR) H.Laga@murdoch.edu.au, Diepeveen, Dean2 (AUTHOR) D.Diepeveen@murdoch.edu.au, Bennamoun, Mohammed3 (AUTHOR) mohammed.bennamoun@uwa.edu.au
Publikováno v:
ACM Computing Surveys. Dec2024, Vol. 56 Issue 12, p1-51. 51p.
Autor:
Yao, Jianping1 (AUTHOR) jianping.yao@utas.edu.au, Tran, Son N.2 (AUTHOR) son.tran@deakin.edu.au, Garg, Saurabh3 (AUTHOR) Saurabh.Garg@utas.edu.au, Sawyer, Samantha4 (AUTHOR) samantha.sawyer@utas.edu.au
Publikováno v:
ACM Computing Surveys. Jun2024, Vol. 56 Issue 6, p1-37. 37p.
Autor:
Vandenhende, Simon, Georgoulis, Stamatios, Van Gansbeke, Wouter, Proesmans, Marc, Dai, Dengxin, Van Gool, Luc
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; Jul2022, Vol. 44 Issue 7, p3614-3633, 20p
Autor:
PARIZOTTO, RICARDO1 rparizotto@inf.ufrgs.br, COELHO, BRUNO LOUREIRO1 blcoelho@inf.ufrgs.br, NUNES, DIEGO CARDOSO1 dcnunes@inf.ufrgs.br, HAQUE, ISRAAT2 Israat@dal.ca, SCHAEFFER-FILHO, ALBERTO1 alberto@inf.ufrgs.br
Publikováno v:
ACM Computing Surveys. Jan2024, Vol. 56 Issue 1, p1-34. 34p.
Publikováno v:
ACM Transactions on Sensor Networks; Sep2024, Vol. 20 Issue 5, p1-22, 22p