This paper proposes an Adaptive Cross-modal Weighting (ACmW) scheme to exploit complementarity features from RGB-D data in this study. The scheme learns ...

Oct 7, 2023 · Methods This paper proposes an Adaptive Cross-modal Weighting (ACmW) scheme to exploit complementarity features from RGB-D data in this study.

Although multi-modal gesture recognition has made significant progress in recent years, a popular method still is simply fusing prediction scores at the end of ...

... multi-modal gesture recognition has made significant progress in recent years, a popular method still is simply fusing prediction scores at the end of each ...

Pattern Recognition and Artificial Intelligence, Progress in Natural Science:Materials International, Progress in Biochemistry and Biophysics, PROGREES IN ...

Dec 31, 2014 · We present a method for gesture detection and localisation based on multi-scale and multi-modal deep learning. Each visual modality captures ...

Adaptive cross-fusion learning for multi-modal gesture recognition. B Zhou, J Wan, Y Liang, G Guo. Virtual Reality & Intelligent Hardware 3 (3), 235-247, 2021.

Adaptive cross-fusion learning for multi-modal gesture recognition · A Deep Learning Framework for Recognizing Both Static and Dynamic Gestures · Regional ...

Oct 27, 2023 · The fusion technique is the key to the multimodal emotion recognition task. Recently, cross-modal attention-based fusion methods have ...

Jun 6, 2015 · Abstract—We present a method for gesture detection and localisation based on multi-scale and multi-modal deep learning. Each.