A toolbox for skeleton-based action recognition.
implementation of STGCN for traffic prediction in IJCAI2018
[PLOS ONE] Official implementation of the paper "SignFormer-GCN : Continuous Sign Language Translation Using Spatio-Temporal Graph Convolutional Networks"
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
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.
Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition
4D facial dynamics analysis with Welsh language fluency detection.
An AI-driven Adaptive Traffic Signal Control System (ATSCS) that replaces static timers with dynamic green-light phases. Utilizes YOLOv8 for real-time vehicle density estimation and multi-class classification, achieving 96.4% mAP. Optimized for low-latency inference (>30 FPS) on edge devices to reduce urban congestion and commuter wait times.
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:
Data-driven spatiotemporal water quality prediction using ANN and STGCN with multi-source environmental data
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