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Akademický článek

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Visibility Aware Human-Object Interaction Tracking from Single RGB Camera

Autor: Xie, X., Bhatnagar, B., Pons-Moll, G.

Publikováno v: IEEE/CVF Conference on Computer Vision and Pattern Recognition

Capturing the interactions between humans and their environment in 3D is important for many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D human and object from a single RGB image do not have consistent relative tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef25987f49805f255f88451e60996cdf
http://arxiv.org/abs/2303.16479

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Freezing medium containing 5% DMSO enhances the cell viability and recovery rate after cryopreservation of regulatory T cell products ex vivo and in vivo

Autor: Kaiser, D, Otto, NM, McCallion, O, Hoffmann, H, Zarrinrad, G, Stein, M, Beier, C, Matz, I, Herschel, M, Hester, J, Moll, G, Issa, F, Reinke, P, Roemhild, A

Cell therapies have significant therapeutic potential in diverse fields including regenerative medicine, transplantation tolerance, and autoimmunity. Within these fields, regulatory T cells (Treg) have been deployed to ameliorate aberrant immune resp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1064::2bef079de2f6bc86b4a73d924f4ea0b8
https://ora.ox.ac.uk/objects/uuid:f147f37f-55eb-4bae-ab26-48fa3bd0e61e

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Visually Plausible Human-Object Interaction Capture from Wearable Sensors

Autor: Guzov, V., Sattler, T., Pons-Moll, G.

In everyday lives, humans naturally modify the surrounding environmentthrough interactions, e.g., moving a chair to sit on it. To reproduce suchinteractions in virtual spaces (e.g., metaverse), we need to be able to captureand model them, including c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1874::5cf19e0462e3fcde652b4adf69ca0447
https://hdl.handle.net/21.11116/0000-000C-2A9C-621.11116/0000-000C-2A9E-4

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HDHumans: A Hybrid Approach for High-fidelity Digital Humans

Autor: Habermann, M., Liu, L., Xu, W., Pons-Moll, G., Zollhöfer, M., Theobalt, C., https://orcid.org/0000-0001-6104-6625

Photo-real digital human avatars are of enormous importance in graphics, asthey enable immersive communication over the globe, improve gaming andentertainment experiences, and can be particularly beneficial for AR and VRsettings. However, current ava

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1874::acfeae713eb566493f6e370c794c34ce
https://hdl.handle.net/21.11116/0000-000B-9CEA-E21.11116/0000-000B-9CEC-C

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{TOCH}: {S}patio-Temporal Object Correspondence to Hand for Motion Refinement

Autor: Zhou, K., Lal Bhatnagar, B., Lenssen, J., Pons-Moll, G.

Publikováno v: Computer Vision--ECCV 2022
Lecture Notes in Computer Science

We present TOCH, a method for refining incorrect 3D hand-object interaction sequences using a data prior. Existing hand trackers, especially those that rely on very few cameras, often produce visually unrealistic results with hand-object intersection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::60ef8ed5c79724d1af46f921640c8b5e
https://hdl.handle.net/21.11116/0000-000A-B586-221.11116/0000-000A-B588-0

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Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing

Autor: Tiwari, G., Sarafianos, N., Tung, T., Pons-Moll, G.

Publikováno v: ICCV 2021

We present Neural Generalized Implicit Functions(Neural-GIF), to animate people in clothing as a function of the body pose. Given a sequence of scans of a subject in various poses, we learn to animate the character for new poses. Existing methods hav

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62692c441580af89bb8e7601d6a13de2
https://doi.org/10.1109/iccv48922.2021.01150

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