no code implementations • 7 Jun 2023 • Richard Blythman, Mohamed Arshath, Salvatore Vivona, Jakub Smékal, Hithesh Shaji
AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs.
no code implementations • 20 Nov 2022 • Nassim Dehouche, Richard Blythman
Intelligent human inputs are required both in the training and operation of AI systems, and within the governance of blockchain systems and decentralized autonomous organizations (DAOs).
no code implementations • 28 Oct 2022 • M. R. Ahan, Robin Lehmann, Richard Blythman
Recent developments in machine learning have shown that successful models do not rely only on huge amounts of data but the right kind of data.
1 code implementation • 7 Aug 2022 • Sebastian Lutz, Richard Blythman, Koustav Ghosal, Matthew Moynihan, Ciaran Simms, Aljosa Smolic
Monocular 3D human pose estimation technologies have the potential to greatly increase the availability of human movement data.
Ranked #50 on 3D Human Pose Estimation on Human3.6M
no code implementations • 26 Jul 2022 • Kevin Gildea, Clara Mercadal-Baudart, Richard Blythman, Aljosa Smolic, Ciaran Simms
With frame-by-frame IK we obtain low errors in the case of bent elbows and knees, however, motion sequences with phases of extended/straight limbs results in ambiguity in twist angle.