A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
Perspectives

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives

1 September 2020

Alexander Mathis

Steffen Schneider

Mackenzie W. Mathis

Papers citing "A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives"

19 / 19 papers shown

Title
Deep-Learning-Based Markerless Pose Estimation Systems in Gait Analysis: DeepLabCut Custom Training and the Refinement Function Giulia Panconi Stefano Grasso Sara Guarducci Lorenzo Mucchi D. Minciacchi Riccardo Bravi 16 1 0 15 Jul 2024
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories Yan Zhang Sergey Prokudin Marko Mihajlovic Qianli Ma Siyu Tang 24 1 0 05 Jun 2024
SuDA: Support-based Domain Adaptation for Sim2Real Motion Capture with Flexible Sensors Jiawei Fang Haishan Song Chengxu Zuo Xiaoxia Gao Xiaowei Chen Shihui Guo Yipeng Qin 29 0 0 25 May 2024
Computer Vision for Primate Behavior Analysis in the Wild Richard Vogg Timo Lüddecke Jonathan Henrich Sharmita Dey Matthias Nuske ... Alexander Gail Stefan Treue H. Scherberger F. Worgotter Alexander S. Ecker 28 3 0 29 Jan 2024
Diffusion Models Enable Zero-Shot Pose Estimation for Lower-Limb Prosthetic Users Tianxun Zhou Muhammad Nur Shahril Iskandar K. Chiam DiffM 10 0 0 13 Dec 2023
Automated Behavioral Analysis Using Instance Segmentation Chen Yang Jeremy Forest Matthew Einhorn Thomas A. Cleland 20 3 0 12 Dec 2023
Few-shot Geometry-Aware Keypoint Localization Xingzhe He Gaurav Bharaj D. Ferman Helge Rhodin Pablo Garrido 3DPC 21 10 0 30 Mar 2023
BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets João Carmona Tamás Karácsony Joao Paulo Cunha 16 4 0 21 Oct 2022
Machine Learning for Optical Motion Capture-driven Musculoskeletal Modelling from Inertial Motion Capture Data A. Dasgupta Rahul Sharma Challenger Mishra Vikranth H. Nagaraja 6 6 0 28 Sep 2022
SuperAnimal pretrained pose estimation models for behavioral analysis Shaokai Ye Anastasiia Filippova Jessy Lauer Steffen Schneider Maxime Vidal Tian Qiu Alexander Mathis Mackenzie W. Mathis 14 26 0 14 Mar 2022
A Review of Deep Learning Techniques for Markerless Human Motion on Synthetic Datasets Doan Duy Vo Russell Butler 3DH 14 0 0 07 Jan 2022
Seeing biodiversity: perspectives in machine learning for wildlife conservation D. Tuia B. Kellenberger Sara Beery Blair R. Costelloe Silvia Zuffi ... I. Couzin Grant Van Horn M. Crofoot Chuck Stewart T. Berger-Wolf 22 389 0 25 Oct 2021
Transflower: probabilistic autoregressive dance generation with multimodal attention Guillermo Valle Pérez G. Henter Jonas Beskow A. Holzapfel Pierre-Yves Oudeyer Simon Alexanderson 10 42 0 25 Jun 2021
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild Daniel Joska Liam Clark Naoya Muramatsu Ricardo Jericevich Fred Nicolls Alexander Mathis Mackenzie W. Mathis Amir Patel 11 50 0 24 Mar 2021
End-to-End Trainable Multi-Instance Pose Estimation with Transformers Lucas Stoffl Maxime Vidal Alexander Mathis ViT 18 49 0 22 Mar 2021
Measuring and modeling the motor system with machine learning Sébastien B Hausmann Alessandro Marin Vargas Alexander Mathis Mackenzie W. Mathis 37 50 0 22 Mar 2021
Perspectives on individual animal identification from biology and computer vision Maxime Vidal Nathan Wolf B. Rosenberg B. Harris Alexander Mathis 22 63 0 28 Feb 2021
Multi-task self-supervised learning for Robust Speech Recognition Mirco Ravanelli Jianyuan Zhong Santiago Pascual P. Swietojanski João Monteiro J. Trmal Yoshua Bengio SSL 171 288 0 25 Jan 2020
DensePose: Dense Human Pose Estimation In The Wild R. Güler Natalia Neverova Iasonas Kokkinos 3DH 172 1,371 0 01 Feb 2018