Introduction to Event Based Monocular Human Pose Estimation
Welcome to our comprehensive guide on Event Based Monocular Human Pose Estimation. Gianluca Scarpellini is a Ph.D. Graduate Student at the Istituto Italiano di Tecnologia.
Event Based Monocular Human Pose Estimation Comprehensive Overview
E. Calabrese, G. Taverni, C. A. Easthope, S. Skriabine, F. Corradi, L. Longinotti, K. Eng, T. Delbruck, DHP19: Dynamic Vision ... A. Nguyen, T.-T. Do, D. G. Caldwell, N. G. Tsagarakis, Real-Time 6DOF M. Deshmukh, H. Akada, H. Rhodin, C. Theobalt and V. Golyanik. E-3DPSM: A State Machine for
We propose a CNN-
Summary & Highlights for Event Based Monocular Human Pose Estimation
- Authors: Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Z.
- Our method combines model-
- Matteo Ruggero Ronchi*, Oisin Mac Aodha*, Robert Eng, and Pietro Perona - Caltech (* equal contribution) We address the ...
- Paper: https://tub-rip.github.io/eventvision2021/papers/2021CVPRW_Lifting_Monocular_Events_to_3D_Human_Poses.pdf Code: ...
- Github: github.com/MasterHow/EventPointPose Arxiv PDF: arxiv.org/pdf/2311.04591.pdf.
In summary, understanding Event Based Monocular Human Pose Estimation gives us a better perspective.