Context-aware pedestrian trajectory prediction with multimodal transformer
H Damirchi, M Greenspan… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We propose a novel solution for predicting future trajectories of pedestrians. Our method
uses a multimodal encoder-decoder transformer architecture, which takes as input both …
uses a multimodal encoder-decoder transformer architecture, which takes as input both …
Handformer: a dynamic hand gesture recognition method based on attention mechanism
Y Zhang, F Wang - Applied Sciences, 2023 - mdpi.com
The application of dynamic gestures is extensive in the field of automated intelligent
manufacturing. Due to the temporal and spatial complexity of dynamic gesture data …
manufacturing. Due to the temporal and spatial complexity of dynamic gesture data …
Stacked graph bone region U-net with bone representation for hand pose estimation and semi-supervised training
Abstract 3D hand estimation from 2D joint information is an essential task in human-machine
interaction, which has achieved great progress as an application of deep learning. However …
interaction, which has achieved great progress as an application of deep learning. However …
EEG-based Brain Computer Interface with Deep Learning
G Zhang - 2022 - search.proquest.com
Abstract Electroencephalogram (EEG)-based Brain Computer Interfaces (BCI) are very
important and have been widely used in multiple application domains, ranging from human …
important and have been widely used in multiple application domains, ranging from human …