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Found 7 papers, 5 papers with code
Following the Human Thread in Social Navigation
We propose the first Social Dynamics Adaptation model (SDA) based on the robot's state-action history to infer the social dynamics.
Staged Contact-Aware Global Human Motion Forecasting
So far, only Mao et al. NeurIPS'22 have addressed scene-aware global motion, cascading the prediction of future scene contact points and the global motion estimation.
Ranked #1 on
Human Pose Forecasting
on GTA-IM Dataset
About latent roles in forecasting players in team sports
Forecasting players in sports has grown in popularity due to the potential for a tactical advantage and the applicability of such research to multi-agent interaction systems.
Best Practices for 2-Body Pose Forecasting
The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames.
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
Detecting the anomaly of human behavior is paramount to timely recognizing endangering situations, such as street fights or elderly falls.
Ranked #3 on
Video Anomaly Detection
on HR-UBnormal
Pose Forecasting in Industrial Human-Robot Collaboration
Pushing back the frontiers of collaborative robots in industrial environments, we propose a new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting.
Space-Time-Separable Graph Convolutional Network for Pose Forecasting
For the first time, STS-GCN models the human pose dynamics only with a graph convolutional network (GCN), including the temporal evolution and the spatial joint interaction within a single-graph framework, which allows the cross-talk of motion and spatial correlations.
Ranked #1 on
Human Pose Forecasting
on 3DPW
