Search Results for author:
Found 7 papers, 6 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.
PREGO: online mistake detection in PRocedural EGOcentric videos
We propose PREGO, the first online one-class classification model for mistake detection in PRocedural EGOcentric videos.
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
We introduce TopoX, a Python software suite that provides reliable and user-friendly building blocks for computing and machine learning on topological domains that extend graphs: hypergraphs, simplicial, cellular, path and combinatorial complexes.
ICML 2023 Topological Deep Learning Challenge : Design and Results
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning.
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.
