Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nikolay Kobyshev"'
Publikováno v:
Computer Vision and Image Understanding. 157:300-312
A model that combines symmetries and free-form polylines for decomposing a point cloud into ASEs.Methods for detecting structural cues (dominant mirror symmetries and rotational symmetries, as well as residual free-form parts) in point clouds.A globa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77efeb12a18efd70e757b48fc82a2a39
https://doi.org/10.1016/j.cviu.2016.06.004
https://doi.org/10.1016/j.cviu.2016.06.004
Autor:
Yongwoo Kim, Munchurl Kim, Subeesh Vasu, Jae-Seok Choi, Tong Tong, Jiewen Ran, Rang Meng, Hu Fengshuo, Kehui Nie, Xingguang Zhou, Cao Van Nguyen, Luc Van Gool, Pablo Navarrete Michelini, Wushao Wen, Zhu Dan, Yan Zhao, Zheng Hui, Nikolay Kobyshev, Yukai Shi, Chao Dong, Chen Xing, Etienne de Stoutz, Thang Vu, Eirikur Agustsson, Qinquan Gao, Cheolkon Jung, Mingrui Geng, Xiumei Wang, Tung Minh Luu, Liu Hanwen, Jie Huang, Jinghui Qin, Nimisha Thekke Madam, A. N. Rajagopalan, Yu Qiao, Shuhang Gu, Trung X. Pham, Andrey Ignatov, Pengfei Zhu, Ruicheng Feng, Shixiang Wu, Lirui Deng, Gen Li, Yawei Li, Liang Lin, Praveen Kandula, Radu Timofte, Jie Liu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110208
ECCV Workshops (5)
ECCV Workshops (5)
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tracks. In the first one, participants were solving the classical image s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73c9a600b16f07532c7f76b9af32b80f
https://doi.org/10.1007/978-3-030-11021-5_20
https://doi.org/10.1007/978-3-030-11021-5_20
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110208
ECCV Workshops (5)
ECCV Workshops (5)
The vast majority of photos taken today are by mobile phones. While their quality is rapidly growing, due to physical limitations and cost constraints the mobile phones cameras struggle to compare in quality with DSLR cameras. This motivates us to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e69937c05e6ab991e7b3e706038358a4
https://doi.org/10.1007/978-3-030-11021-5_17
https://doi.org/10.1007/978-3-030-11021-5_17
Publikováno v:
CVPR Workshops
Low-end and compact mobile cameras demonstrate limited photo quality mainly due to space, hardware and budget constraints. In this work, we propose a deep learning solution that translates photos taken by cameras with limited capabilities into DSLR-q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e12dfb659b57f72c32f4a0cb55937572
http://arxiv.org/abs/1709.01118
http://arxiv.org/abs/1709.01118
Autor:
Michael Gygli, Santiago Manen, Danda Pani Paudel, András Bódis-Szomorú, Carlos Eduardo Porto de Oliveira, Luc Van Gool, Till Kroeger, Dengxin Dai, Hayko Riemenschneider, Nikolay Kobyshev, Kenneth Vanhoey
Publikováno v:
SIGGRAPH Talks
VarCity - the Video is a short documentary-style CGI movie explaining the main outcomes of the 5-year Computer Vision research project VarCity. Besides a coarse overview of the research, we present the challenges that were faced in its production, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c3b151ec331b68e931f92f6148bd3a3
https://doi.org/10.1145/3084363.3085085
https://doi.org/10.1145/3084363.3085085
Publikováno v:
2017 IEEE International Conference on Computer Vision (ICCV)
ICCV
ICCV
2017 IEEE International Conference on Computer Vision (ICCV)
ISBN:978-1-5386-1032-9
ISBN:978-1-5386-1033-6
ISBN:978-1-5386-1032-9
ISBN:978-1-5386-1033-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d969bb07afb4844e6a98e343aa1bdaf6
Publikováno v:
2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
WACV
WACV
Decomposing 3D building models into architectural elements is an essential step in understanding their 3D structure. Although we focus on landmark buildings, our approach generalizes to arbitrary 3D objects. We formulate the decomposition as a multi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f2e1f688439b5c6226a1218a3b45175
https://hdl.handle.net/20.500.11850/110351
https://hdl.handle.net/20.500.11850/110351
Publikováno v:
3DV
© 2016 IEEE. In urban environments the most interesting and effective factors for localization and navigation are landmark buildings. This paper proposes a novel method to detect such buildings that stand out, i.e. would be given the status of 'land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36b6a1eca0663b7c567c68b75fd1caf2
https://lirias.kuleuven.be/handle/123456789/575353
https://lirias.kuleuven.be/handle/123456789/575353
Publikováno v:
3DV
Image-to-image feature matching is the single most restrictive time bottleneck in any matching pipeline. We propose two methods for improving the speed and quality by employing semantic scene segmentation. First, we introduce a way of capturing seman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e83c11cd0dc5a50f9e0b42a8876f448
https://doi.org/10.1109/3dv.2014.15
https://doi.org/10.1109/3dv.2014.15
Publikováno v:
BMVC
Reconstruction of scene geometry and semantics are important problems in vision, and increasingly brought together. The state of the art in Structure from Motion and Multi View Stereo (SfM+MVS) can already create accurate, dense reconstructions of sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ad8b580a2eeca4aaaec415c247bf026
https://doi.org/10.5244/c.28.106
https://doi.org/10.5244/c.28.106