Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Cristian Sminchisescu"'
Publikováno v:
Symmetry, Vol 7, Iss 3, Pp 1333-1351 (2015)
The role of symmetry in computer vision has waxed and waned in importance during the evolution of the field from its earliest days. At first figuring prominently in support of bottom-up indexing, it fell out of favour as shape gave way to appearance
Externí odkaz:
https://doaj.org/article/89d2a0c2957d4b6fbccc6149ef450b84
We introduce DiffPhy, a differentiable physics-based model for articulated 3d human motion reconstruction from video. Applications of physics-based reasoning in human motion analysis have so far been limited, both by the complexity of constructing ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a019cf5a12d5bd102bae489987bad5
http://arxiv.org/abs/2205.12256
http://arxiv.org/abs/2205.12256
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50fdc4c4f2d6601207fb572f97a778ee
https://doi.org/10.1007/978-3-031-20044-1_41
https://doi.org/10.1007/978-3-031-20044-1_41
Autor:
Bharat Lal Bhatnagar, Xianghui Xie, Ilya A. Petrov, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition
Modelling interactions between humans and objects in natural environments is central to many applications including gaming, virtual and mixed reality, as well as human behavior analysis and human-robot collaboration. This challenging operation scenar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb51c756cafe61905a276dc0666152a2
https://hdl.handle.net/21.11116/0000-000A-2889-F21.11116/0000-000B-9C5A-1
https://hdl.handle.net/21.11116/0000-000A-2889-F21.11116/0000-000B-9C5A-1
Autor:
Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a47cb4b57b1f6950d7814fcbfaa50bdb
https://doi.org/10.1007/978-3-031-19824-3_6
https://doi.org/10.1007/978-3-031-19824-3_6
Autor:
Daniel Davison, Carlos Neves, Elizabeth Pellicano, Suncica Petrovic, Alyssa Alcorn, Aurelie Baranger, Vlad Olaru, Jie Shen, Paulo Alvito, Snežana Babović Dimitrijević, Dirk Heylen, Alria Williams, Jamy Li, Nicholas Cummins, Cristian Sminchisescu, Björn Schuller, Bob R. Schadenberg, Vanessa Evers, Maja Pantic, Dennis Reidsma
Publikováno v:
ACM Transactions on Computer-Human Interaction, 28(5):3468849. Association for Computing Machinery (ACM)
Predictability is important to autistic individuals, and robots have been suggested to meet this need as they can be programmed to be predictable, as well as elicit social interaction. The effectiveness of robot-assisted interventions designed for so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d4df93beb4ff0c8ca4c41faa9b1a649
https://research.utwente.nl/en/publications/68b65776-0d92-4a05-bb36-5ccee97c2133
https://research.utwente.nl/en/publications/68b65776-0d92-4a05-bb36-5ccee97c2133
Publikováno v:
CVPR
I went to the gym today, but how well did I do? And where should I improve? Ah, my back hurts slightly... User engagement can be sustained and injuries avoided by being able to reconstruct 3d human pose and motion, relate it to good training practice
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695316
ACCV (2)
ACCV (2)
We present a model for generating 3d articulated pedestrian locomotion in urban scenarios, with synthesis capabilities informed by the 3d scene semantics and geometry. We reformulate pedestrian trajectory forecasting as a structured reinforcement lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac0eff702e575d24b9424c29b91bee4f
https://doi.org/10.1007/978-3-030-69532-3_29
https://doi.org/10.1007/978-3-030-69532-3_29
Autor:
Cristian Sminchisescu, Pei Sun, Yuning Chai, Weiyue Wang, Xiao Zhang, Dragomir Anguelov, Alex Bewley, Gamaleldin F. Elsayed
Publikováno v:
CVPR
The detection of 3D objects from LiDAR data is a critical component in most autonomous driving systems. Safe, high speed driving needs larger detection ranges, which are enabled by new LiDARs. These larger detection ranges require more efficient and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc8d28a7b5fc16130b44a126bd1066e8
Autor:
Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandstrom, Cristian Sminchisescu, Luc Van Gool
This paper presents a real-time online vision framework to jointly recover an indoor scene's 3D structure and semantic label. Given noisy depth maps, a camera trajectory, and 2D semantic labels at train time, the proposed deep neural network based ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::476c6c4890d53482a1761358ded920b8