Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Tolga Birdal"'
Publikováno v:
International Journal of Computer Vision. 130:1627-1654
In this work, we introduce Deep Bingham Networks (DBN), a generic framework that can naturally handle pose-related uncertainties and ambiguities arising in almost all real life applications concerning 3D data. While existing works strive to find a si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e63353a1b26af86423586369eaca2b1
https://doi.org/10.1007/s11263-022-01612-w
https://doi.org/10.1007/s11263-022-01612-w
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Regressing rotations on SO(3) manifold using deep neural networks is an important yet unsolved problem. The gap between the Euclidean network output space and the non-Euclidean SO(3) manifold imposes a severe challenge for neural network learning in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06338201c354c6dc5a0b33e1a7f4f725
https://doi.org/10.1109/cvpr52688.2022.00653
https://doi.org/10.1109/cvpr52688.2022.00653
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
We present SyNoRiM, a novel way to jointly register multiple non-rigid shapes by synchronizing the maps that relate learned functions defined on the point clouds. Even though the ability to process non-rigid shapes is critical in various applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b01367197adc2e587d6c1f34f6166d
https://pubmed.ncbi.nlm.nih.gov/35380953
https://pubmed.ncbi.nlm.nih.gov/35380953
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (6), pp.1333-1347. ⟨10.1109/TPAMI.2019.2900309⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42 (6), pp.1333-1347. ⟨10.1109/TPAMI.2019.2900309⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (6), pp.1333-1347. ⟨10.1109/TPAMI.2019.2900309⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42 (6), pp.1333-1347. ⟨10.1109/TPAMI.2019.2900309⟩
We present a novel and effective method for detecting 3D primitives in cluttered, unorganized point clouds, without axillary segmentation or type specification. We consider the quadric surfaces for encapsulating the basic building blocks of our envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3abedd83b42d2a9840a464ae3a8fcad4
https://doi.org/10.1109/tpami.2019.2900309
https://doi.org/10.1109/tpami.2019.2900309
Publikováno v:
IEEE Robotics and Automation Letters
We propose a new method for segmentation-free joint estimation of orthogonal planes, their intersection lines, relationship graph and corners lying at the intersection of three orthogonal planes. Such unified scene exploration under orthogonality all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1027bb742976a61844450db978bb38e1
https://doi.org/10.1109/lra.2020.2969936
https://doi.org/10.1109/lra.2020.2969936
Publikováno v:
International journal of computer vision. 130(9)
We present 3DPointCaps++ for learning robust, flexible and generalizable 3D object representations without requiring heavy annotation efforts or supervision. Unlike conventional 3D generative models, our algorithm aims for building a structured laten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::814cf7a144d48da7506ef800733c76ea
https://pubmed.ncbi.nlm.nih.gov/35968252
https://pubmed.ncbi.nlm.nih.gov/35968252
Publikováno v:
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition
IEEE/CVF Conference on Computer Vision and Pattern Recognition
We present QuantumSync, the first quantum algorithm for solving a synchronization problem in the context of computer vision. In particular, we focus on permutation synchronization which involves solving a non-convex optimization problem in discrete v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c1d608de7f094d1cc30a8baa5a1044
http://arxiv.org/abs/2101.07755
http://arxiv.org/abs/2101.07755
Autor:
He Wang, Jiahui Huang, Tolga Birdal, Federica Arrigoni, Minhyuk Sung, Leonidas J. Guibas, Shi-Min Hu
Publikováno v:
CVPR
We present MultiBodySync, a novel, end-to-end trainable multi-body motion segmentation and rigid registration framework for multiple input 3D point clouds. The two non-trivial challenges posed by this multi-scan multibody setting that we investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807eb91828f0ef9733f5b938fcc2dfa1
http://hdl.handle.net/11311/1220242
http://hdl.handle.net/11311/1220242
Publikováno v:
CVPR
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We propose a data-driven scene flow estimation algorithm exploiting the observation that many 3D scenes can be explained by a collection of agents moving as rigid bodies. At the core of our method lies a deep architecture able to reason at the object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff44971391c1cafabedfd812ce893b14
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose and shape. Though substantial progress has been made in estimating 3D human motion and shape from dynamic observations, recovering plausible pose sequences in the pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::123acce96cacbd829d28500f8516c193