Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Eldar, Insafutdinov"'
We present a system for automatic converting of 2D mask object predictions and raw LiDAR point clouds into full 3D bounding boxes of objects. Because the LiDAR point clouds are partial, directly fitting bounding boxes to the point clouds is meaningle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f765ea7c57732e533cc9ee8acbc278e4
https://ora.ox.ac.uk/objects/uuid:2c948dd7-ef6d-4581-9c22-fd50dd07df42
https://ora.ox.ac.uk/objects/uuid:2c948dd7-ef6d-4581-9c22-fd50dd07df42
Publikováno v:
3DV
In this paper we predict a full 3D avatar of a person from a single image. We infer texture and geometry in the UV-space of the SMPL model using an image-to-image translation method. Given partial texture and segmentation layout maps derived from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bc0763da4de0b4ff91ef9b99f8830a0
Autor:
Evgeny Levinkov, Bernt Schiele, Leonid Pishchulin, Mykhaylo Andriluka, Bjoern Andres, Siyu Tang, Eldar Insafutdinov
Publikováno v:
CVPR
In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos. Our starting point is a model that resembles existing architectures for single-frame pose estimation but is substantially faster. We achieve thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dc5072cbd686880fc23281a9606628a
https://doi.org/10.1109/cvpr.2017.142
https://doi.org/10.1109/cvpr.2017.142
Autor:
Jonas Uhrig, Carsten Rother, Thomas Brox, Alexander Kirillov, Siyu Tang, Eldar Insafutdinov, Mohamed Omran, Bjoern Andres, Evgeny Levinkov, Bernt Schiele
Publikováno v:
CVPR
We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical abstraction of seemingly unrelated computer vision tasks, including ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95411a5d0ab6be8d7a73271178c4fa62
https://doi.org/10.1109/cvpr.2017.206
https://doi.org/10.1109/cvpr.2017.206
Autor:
Christian Theobalt, Helge Rhodin, Dan Casas, Christian Richardt, Eldar Insafutdinov, Hans-Peter Seidel, Mohammad Shafiei, Bernt Schiele
Publikováno v:
Rhodin, H, Richardt, C, Casas, D, Insafutinov, E, Shafiei, M, Seidel, H-P, Schiele, B & Theobalt, C 2016, ' EgoCap : egocentric marker-less motion capture with two fisheye cameras ', ACM Transactions on Graphics, vol. 35, no. 6, 162, pp. 1-11 . https://doi.org/10.1145/2980179.2980235
Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They often create discomfort by possibly needed marker suits, and their rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0604f5f4f93d4aa589ffc997018c2b4b
http://arxiv.org/abs/1609.07306
http://arxiv.org/abs/1609.07306
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464657
ECCV (6)
ECCV (6)
The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) improved body part detectors that generate effective bottom-up proposal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fdf9d7f4ba01bcbd773890990a156ba
https://doi.org/10.1007/978-3-319-46466-4_3
https://doi.org/10.1007/978-3-319-46466-4_3
Autor:
Siyu Tang, Bjoern Andres, Peter V. Gehler, Mykhaylo Andriluka, Leonid Pishchulin, Bernt Schiele, Eldar Insafutdinov
Publikováno v:
CVPR
This paper considers the task of articulated human pose estimation of multiple people in real world images. We propose an approach that jointly solves the tasks of detection and pose estimation: it infers the number of persons in a scene, identifies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7142e3b5db79ff7e2ea2f987fbaaeda7
http://arxiv.org/abs/1511.06645
http://arxiv.org/abs/1511.06645
Autor:
Juergen Gall, Mykhaylo Andriluka, Eldar Insafutdinov, Bernt Schiele, Umar Iqbal, Anton Milan, Leonid Pishchulin
Publikováno v:
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR
CVPR
Human poses and motions are important cues for analysis of videos with people and there is strong evidence that representations based on body pose are highly effective for a variety of tasks such as activity recognition, content retrieval and social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f2b07cc6e6e6789e5cecc4895678a4c