6 citations · 16 across the 7 of their papers we have counts for
7 papers
Decentralized Technologies for AI Hubs
Richard Blythman, Mohamed Arshath, Salvatore Vivona +2
AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. AI Hubs have contributed significantly to the democratization of AI. However, exis…
A Blockchain Protocol for Human-in-the-Loop AI
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 (…
Is Decentralized AI Safer?
Casey Clifton, Richard Blythman, Kartika Tulusan
Artificial Intelligence (AI) has the potential to significantly benefit or harm humanity. At present, a few for-profit companies largely control the development and use of this tec…
Libraries, Integrations and Hubs for Decentralized AI using IPFS
Richard Blythman, Mohamed Arshath, Jakub Smékal +3
AI requires heavy amounts of storage and compute. As a result, AI developers are regular users of centralised cloud services such as AWS, GCP and Azure, compute environments such a…
Addressing Bias in Face Detectors using Decentralised Data collection with incentives
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. We show in this paper how this data-c…
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation
Sebastian Lutz, Richard Blythman, Koustav Ghosal +3
Monocular 3D human pose estimation technologies have the potential to greatly increase the availability of human movement data. The best-performing models for single-image 2D-3D li…
KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints
Kevin Gildea, Clara Mercadal-Baudart, Richard Blythman +2
Computer vision/deep learning-based 3D human pose estimation methods aim to localize human joints from images and videos. Pose representation is normally limited to 3D joint positi…