Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Abhilash Srikantha"'
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
“Brainless” cells, the living constituents inhabiting all biological materials, exhibit remarkably smart, i.e., stimuli-responsive and adaptive, behavior. The emergent spatial and temporal patterns of adaptation, observed as changes in cellular c
Externí odkaz:
https://doaj.org/article/a3eeb39e2ae34d4bb09773aa4b2b0fe8
Autor:
Jens Timo Neumann, Abhilash Srikantha, Philipp Hüthwohl, Keumsil Lee, James William B., Thomas Korb, Eugen Foca, Tomasz Garbowski, Daniel Boecker, Sayantan Das, Sandip Halder
Publikováno v:
Journal of Micro/Nanopatterning, Materials, and Metrology. 22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab43b81fec90cbda9a94fa9ef6ea1aed
https://doi.org/10.1117/1.jmm.22.2.021009
https://doi.org/10.1117/1.jmm.22.2.021009
Autor:
Tate Mlk, Dirk Zeidler, Anton D. Nathanson, Tomasz Garbowski, Christian Wojek, Lucy Ngo, Abhilash Srikantha
The authors have withdrawn their manuscript after issues with the cell viability validation (Fig. 8) were found. In the interest of furthering science and ensuring that clinical decisions are based on best practices and evidence, the issue is describ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cff3f1f97003440db8da8d237f04c8b4
https://doi.org/10.1101/548412
https://doi.org/10.1101/548412
Publikováno v:
CVPR
Localizing functional regions of objects or affordances is an important aspect of scene understanding and relevant for many robotics applications. In this work, we introduce a pixel-wise annotated affordance dataset of 3090 images containing 9916 obj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9077e1a4c7ffeeae22e0c3c6d27b644
https://doi.org/10.1109/cvpr.2017.552
https://doi.org/10.1109/cvpr.2017.552
Autor:
Juergen Gall, Abhilash Srikantha
Publikováno v:
Computer Vision and Image Understanding
The problem of detecting objects from weakly labeled activity videos is addressed.Multiple object instances from each video are inferred using a greedy approach.Combining object appearance with its functionality greatly improves performance.Object de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78659884f8b79bf778162fb5a765beb7
https://hdl.handle.net/21.11116/0000-0001-319C-8
https://hdl.handle.net/21.11116/0000-0001-319C-8
Autor:
Marc Pollefeys, Pablo Aponte, Abhilash Srikantha, Juergen Gall, Luca Ballan, Dimitrios Tzionas
Hand motion capture is a popular research field, recently gaining more attention due to the ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a single isolated hand. In this work, we focus on hands that interact wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c56d50042e1af27125deffe63f4e1022
Autor:
Juergen Gall, Abhilash Srikantha
Publikováno v:
ICIP
Hough-based voting approaches have been successfully applied to object detection. While these methods can be efficiently implemented by random forests, they estimate the probability for an object hypothesis independently for each feature. In this wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e03c7d69c2daa76d4f13675c6f2612a4
https://doi.org/10.1109/icip.2014.7025331
https://doi.org/10.1109/icip.2014.7025331
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319117515
Hand motion capture has been an active research topic in recent years, following the success of full-body pose tracking. Despite similarities, hand tracking proves to be more challenging, characterized by a higher dimensionality, severe occlusions an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f10a7095ce0b1befce21a51e7673815
Autor:
Juergen Gall, Abhilash Srikantha
Publikováno v:
Computer Vision – ECCV 2014 ISBN: 9783319105987
ECCV (6)
ECCV (6)
In order to avoid an expensive manual labelling process or to learn object classes autonomously without human intervention, object discovery techniques have been proposed that extract visually similar objects from weakly labelled videos. However, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54d6cf3bc4faff4318911cdf87258069
https://doi.org/10.1007/978-3-319-10599-4_27
https://doi.org/10.1007/978-3-319-10599-4_27