Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Iacopo Masi"'
Publikováno v:
International Journal of Computer Vision. 127:642-667
We identify two issues as key to developing effective face recognition systems: maximizing the appearance variations of training images and minimizing appearance variations in test images. The former is required to train the system for whatever appea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::262605178d9878f514feceb0d68e2b3e
https://doi.org/10.1007/s11263-019-01178-0
https://doi.org/10.1007/s11263-019-01178-0
Publikováno v:
Advances in Computer Vision and Pattern Recognition ISBN: 9783030746964
Face swapping refers to the task of changing the appearance of a face appearing in an image by replacing it with the appearance of a face taken from another image, in an effort to produce an authentic-looking result. We describe a method for face swa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f6837a6538d74dbb148cacee35259c3
https://doi.org/10.1007/978-3-030-74697-1_2
https://doi.org/10.1007/978-3-030-74697-1_2
Autor:
Royston Marian Mascarenhas, Wael AbdAlmageed, Aditya Killekar, Iacopo Masi, Shenoy Pratik Gurudatt
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585709
ECCV (7)
ECCV (7)
The current spike of hyper-realistic faces artificially generated using deepfakes calls for media forensics solutions that are tailored to video streams and work reliably with a low false alarm rate at the video level. We present a method for deepfak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8be62b740d024c4c6a788a42dc468c
http://arxiv.org/abs/2008.03412
http://arxiv.org/abs/2008.03412
Publikováno v:
CVPR
Face segmentation is the task of densely labeling pixels on the face according to their semantics. While current methods place an emphasis on developing sophisticated architectures, use conditional random fields for smoothness, or rather employ adver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e3beaf806d182b2b6192aa36068f21e
http://hdl.handle.net/11573/1458946
http://hdl.handle.net/11573/1458946
Publikováno v:
ICB
Face occlusions, covering either the majority or discriminative parts of the face, can break facial perception and produce a drastic loss of information. Biometric systems such as recent deep face recognition models are not immune to obstructions or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d041448b1cec18a0e3278666993b7de3
http://arxiv.org/abs/1906.02858
http://arxiv.org/abs/1906.02858
Publikováno v:
CVPR
Image repurposing is a commonly used method for spreading misinformation on social media and online forums, which involves publishing untampered images with modified metadata to create rumors and further propaganda. While manual verification is possi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ee0100cfc55a1c48707ddd1af5f0203
https://doi.org/10.1109/cvpr.2019.01159
https://doi.org/10.1109/cvpr.2019.01159
Publikováno v:
ICB
For enterprise, personal and societal applications, there is now an increasing demand for automated authentication of identity from images using computer vision. However, current authentication technologies are still vulnerable to presentation attack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1efc63fe27b44ca595d245d81e0c0cc
http://arxiv.org/abs/1903.03691
http://arxiv.org/abs/1903.03691
We present a novel method for modeling 3D face shape, viewpoint, and expression from a single, unconstrained photo. Our method uses three deep convolutional neural networks to estimate each of these components separately. Importantly, unlike others,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69c0673ee9efc1f611a986d933bed35d
http://hdl.handle.net/11573/1458894
http://hdl.handle.net/11573/1458894
The age-invariant face recognition (AIFR) is a relatively new area of research in the face recognition domain which has recently gained substantial attention due to its great potential and importance in real-world applications. However, the AIFR is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f46922bd38f81a89002237404d2dcb9
http://hdl.handle.net/11573/1458913
http://hdl.handle.net/11573/1458913
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030223670
SSVM
SSVM
We present a new regularization method to find structure in point clouds corrupted by outliers. The method organizes points into a graph structure, and uses isoperimetric inequalities to craft a loss function that is minimized alternatingly to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d91e2b7b2d76f70ad6daec7f577fba6e
http://hdl.handle.net/11573/1458924
http://hdl.handle.net/11573/1458924