TaichiNet reads whole-body Tai Chi motion from skeletons to sort subtle moves
A new skeleton-based framework, TaichiNet, combines local spatio-temporal graph modeling with a Transformer encoder to recognize Tai Chi movements, outperforming ...
A new skeleton-based framework, TaichiNet, combines local spatio-temporal graph modeling with a Transformer encoder to recognize Tai Chi movements, outperforming ...
A review of 58 studies finds artificial intelligence reshaping 3D printed concrete across material design, printing process control, and structural ...
An improved Siamese neural network trained with metric learning identified coarse aggregate clustering in fresh high arch dam concrete with ...
A systematic review finds that vision-based touchless gesture recognition systems, despite laboratory accuracies above 95%, lose 1 to 23 percentage ...
Researchers built a dual-stream deep learning framework that localizes and classifies facial emotions and binary gender labels together, achieving 94.56% ...
A new hierarchical feature attention network reconstructs high-resolution images from low-resolution inputs while keeping the model below one million parameters.
A new deep learning pipeline raises yellow rust classification accuracy on wheat leaves from 78 to 87 percent on the ...
A benchmarked vision pipeline converts ceiling-mounted food-production video into zone occupancy, entries, exits and dwell-time variables for a manufacturing digital ...
Researchers developed a Shapley-guided token pruning method that significantly reduces latency and energy consumption in Vision Transformers for remote sensing ...
A new BMC Bioinformatics study shows that expert preference-guided correction of CT projections can reduce motion artifacts while preserving the ...
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© 2025 Scienmag - Science Magazine