Researchers from the University of St Andrews have developed an AI tool that reads animal movement from video and turns it into clear, human-readable descriptions, making behavioural analysis faster, ...
Transferring and Refining Visual-Semantic Priors Via Graph-Enhanced CLIP for 3D Hand Pose Estimation
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 ...
Abstract: Reconstructing 3D poses from 2D poses lacking depth information is particularly challenging due to the complexity and diversity of human motion. The key is to effectively model the spatial ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
It is suggested to use conda to manage the python environment, and you can install the required packages from the provided environment.yml directly. Note that in the original ESTAG implementation the ...
FAST-LIO-SAM: max 118% CPU usage, 125 times of ICP, 124.9ms consumption on average FAST-LIO-SAM-N (only Nano-GICP): max 164% CPU usage, 130 times of ICP, 61.9ms consumption on average FAST-LIO-SAM-QN: ...
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