Abstract: 3D hand pose estimation is crucial for many human-computer interaction applications. However, existing deep neural networks (DNNs) for 3D hand pose estimation suffer from poor ...
This repository is the official implementation of the paper "GraphEnet: Event-driven Human Pose Estimation with a Graph Neural Network", which was presented at the 2nd Workshop on Neuromorphic Vision: ...
Dynamical graph structure based on your input, with tap and drag gesture supports, all within 100 lines of view body.
In this tutorial, we build an advanced, fully autonomous logistics simulation in which multiple smart delivery trucks operate within a dynamic city-wide road network. We design the system so that each ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
An investigation by AntiKor found that the Perzhanske deposit, operated by the Perzhanska Ore Company, poses environmental threats to the Polisky Nature Reserve, the Mykytche Reserve, and the ...
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