Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Cengiz Oztireli"'
Autor:
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae21d52eb5374e17d768388eed0fba22
https://doi.org/10.1109/cvpr52688.2022.00373
https://doi.org/10.1109/cvpr52688.2022.00373
Autor:
Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Oztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200496
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db56519738dd425b5393ca38e0358a45
https://doi.org/10.1007/978-3-031-20050-2_15
https://doi.org/10.1007/978-3-031-20050-2_15
Publikováno v:
Computer Graphics Forum. 36:269-280
3D garment capture is an important component for various applications such as free-view point video, virtual avatars, online shopping, and virtual cloth fitting. Due to the complexity of the deformations, capturing 3D garment shapes requires controll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e382af18d332a14f134408c66f745f1c
https://doi.org/10.1111/cgf.13125
https://doi.org/10.1111/cgf.13125
Publikováno v:
Abstracts of the ICA, 1
Storytelling is a popular technique applied in many fields including cartography. On the one hand, stories can be told intrinsically by map elements per se. An often quoted example in this regard is Minard’s map of Napoleon’s Russian Campaign (e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::921bcc8a35db3dd5114cc8690a09f2b4
https://hdl.handle.net/20.500.11850/361404
https://hdl.handle.net/20.500.11850/361404
Publikováno v:
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning ISBN: 9783030289539
Explainable AI
Explainable AI
The problem of explaining complex machine learning models, including Deep Neural Networks, has gained increasing attention over the last few years. While several methods have been proposed to explain network predictions, the definition itself of expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ca73cd9dcbffed7d07c15c21eb0151
https://doi.org/10.1007/978-3-030-28954-6_9
https://doi.org/10.1007/978-3-030-28954-6_9
Publikováno v:
CVPR Workshops
3D hand pose inference from monocular RGB data is a challenging problem. CNN-based approaches have shown great promise in tackling this problem. However, such approaches are data-hungry, and obtaining real labeled training hand data is very hard. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::660d7bba70971f552084c49cbe009dec
https://doi.org/10.1109/cvprw.2018.00155
https://doi.org/10.1109/cvprw.2018.00155
Autor:
Cengiz Oztireli
Publikováno v:
IEEE Computer Graphics and Applications. 35:100-106
Most data acquired from the real world is or can be interpreted as geometric in nature. Advanced and affordable sensors, printers, displays, and the Internet make geometric data increasingly important for many disciplines. Giving structure and meanin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a46dab8eb63892a2976a52da4ff74db4
https://doi.org/10.1109/mcg.2015.80
https://doi.org/10.1109/mcg.2015.80
Publikováno v:
CVPR
In this work, we present a novel method for capturing human body shape from a single scaled silhouette. We combine deep correlated features capturing different 2D views, and embedding spaces based on 3D cues in a novel convolutional neural network (C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c542386e998571256c82e1e5ca9bb677
https://doi.org/10.1109/cvpr.2017.584
https://doi.org/10.1109/cvpr.2017.584
Publikováno v:
3DV
2017 International Conference on 3D Vision (3DV)
2017 International Conference on 3D Vision (3DV)
Data-driven approaches for hand pose estimation from depth images usually require a substantial amount of labelled training data which is quite hard to obtain. In this work, we show how a simple convolutional neural network, pre-trained only on synth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03dee993d39412495c00f81d439d0b33
Autor:
Teng Deng, Tobias Martin, Claudia Kuster, Jean-Charles Bazin, Markus Gross, Cengiz Oztireli, Tiberiu Popa
Publikováno v:
Computer Graphics Forum. 33:1-10
Multi-view reconstruction aims at computing the geometry of a scene observed by a set of cameras. Accurate 3D reconstruction of dynamic scenes is a key component for a large variety of applications, ranging from special effects to telepresence and me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bf1da581992120440bf4a74b5ae32e9
https://doi.org/10.1111/cgf.12285
https://doi.org/10.1111/cgf.12285