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Nima Ghorbani
Nima Ghorbani
Max-Planck Institute for Intelligent Systems
Zweryfikowany adres z tuebingen.mpg.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Expressive body capture: 3d hands, face, and body from a single image
G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AAA Osman, D Tzionas, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
18692019
AMASS: Archive of Motion Capture as Surface Shapes
N Mahmood, N Ghorbani, NF Troje, G Pons-Moll, MJ Black
arXiv preprint arXiv:1904.03278, 2019
14052019
GRAB: A dataset of whole-body human grasping of objects
O Taheri, N Ghorbani, MJ Black, D Tzionas
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
3872020
Soma: Solving optical marker-based mocap automatically
N Ghorbani, MJ Black
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
342021
Spike-triggered average electrical stimuli as input filters for bionic vision—a perspective
DL Rathbun, N Ghorbani, H Shabani, E Zrenner, Z Hosseinzadeh
Journal of neural engineering 15 (6), 063002, 2018
292018
hsmal: Detailed horse shape and pose reconstruction for motion pattern recognition
C Li, N Ghorbani, S Broomé, M Rashid, MJ Black, E Hernlund, ...
arXiv preprint arXiv:2106.10102, 2021
222021
The Poses for Equine Research Dataset (PFERD)
C Li, Y Mellbin, J Krogager, S Polikovsky, M Holmberg, N Ghorbani, ...
Scientific Data 11 (1), 497, 2024
62024
Method and systems for labelling motion-captured points
MJ Black, N Ghorbani
US Patent App. 17/949,087, 2023
2023
SOMA: Solving Optical Marker-Based MoCap Automatically** Supplementary Material
N Ghorbani, MJ Black
GRAB: A Dataset of Whole-Body Human Grasping of Objects* Supplemental Material
O Taheri, N Ghorbani, MJ Black, D Tzionas
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image** Supplementary Material
G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AAA Osman, D Tzionas, ...
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