A toolbox for skeleton-based action recognition.
implementation of STGCN for traffic prediction in IJCAI2018
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
[SHREC24] Skeleton-based Self-Supervised Learning For Dynamic Hand Gesture Recognition
Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition
A Unified Action Recognition System that allows the users to fine-tune with only a few videos to suit their unique application.
AG-MAE: Anatomically Guided Spatio-Temporal Masked Auto-Encoder for Online Hand Gesture Recognition
Analyzing and predicting the demand for bikes using a Spatio-Temporal Graph Convolutional Network (STGCN) model.
4D facial dynamics analysis with Welsh language fluency detection.
Repository meant to reproduce the research results of the paper "Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications". Please find the AAM at the following link:
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