Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chieh Hubert Lin"'
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6563d160cc80c525c63830cdb3a6c08
https://doi.org/10.1109/cvpr52688.2022.01114
https://doi.org/10.1109/cvpr52688.2022.01114
Publikováno v:
IROS
The complementary characteristics of active and passive depth sensing techniques motivate the fusion of the Li-DAR sensor and stereo camera for improved depth perception. Instead of directly fusing estimated depths across LiDAR and stereo modalities,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d34a04a08cfd330e568404cb28e1522
https://doi.org/10.1109/iros40897.2019.8968170
https://doi.org/10.1109/iros40897.2019.8968170
Publikováno v:
ICCV
Humans can only interact with part of the surrounding environment due to biological restrictions. Therefore, we learn to reason the spatial relationships across a series of observations to piece together the surrounding environment. Inspired by such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd4f4e3a3b8c71ab1594e5f1adf1495
https://doi.org/10.1109/iccv.2019.00461
https://doi.org/10.1109/iccv.2019.00461
Publikováno v:
AAAI
Conventional Neural Architecture Search (NAS) aims at finding a single architecture that achieves the best performance, which usually optimizes task related learning objectives such as accuracy. However, a single architecture may not be representativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95ff22f182ff33044211ab856bb1b2a4
http://arxiv.org/abs/1811.10201
http://arxiv.org/abs/1811.10201
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012335
ECCV (7)
ECCV (7)
Generative adversarial networks (GANs) often suffer from unpredictable mode-collapsing during training. We study the issue of mode collapse of Boundary Equilibrium Generative Adversarial Network (BEGAN), which is one of the state-of-the-art generativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d34bb19dc7b1a6ec2b8468d7eee867b
https://doi.org/10.1007/978-3-030-01234-2_13
https://doi.org/10.1007/978-3-030-01234-2_13