Human Motion Prediction under Unexpected Perturbation
We investigate a new task in human motion prediction which is predicting motions under
unexpected physical perturbation potentially involving multiple people. Compared with …
unexpected physical perturbation potentially involving multiple people. Compared with …
Bayesian Differentiable Physics for Cloth Digitalization
We propose a new method for cloth digitalization. Deviating from existing methods which
learn from data captured under relatively casual settings we propose to learn from data …
learn from data captured under relatively casual settings we propose to learn from data …
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
Pedestrian trajectory prediction is the key technology in many applications for providing
insights into human behavior and anticipating human future motions. Most existing empirical …
insights into human behavior and anticipating human future motions. Most existing empirical …
Attention-addressing and adaptive-intention-clustering based memory recall for pedestrian trajectory prediction
X Lu, X Guo, J Liu - International Journal of Machine Learning and …, 2024 - Springer
Pedestrian trajectory prediction is widely applied in autonomous driving, service robots,
surveillance systems, etc. The trajectory prediction method using the memory of the …
surveillance systems, etc. The trajectory prediction method using the memory of the …
Physics-based deep learning for understanding crowd behaviors
J Yue - 2024 - etheses.whiterose.ac.uk
Understanding crowd behaviors is crucial in many vital areas eg public safety, urban
planning, autonomous vehicles, etc. Although numerous excellent models have been …
planning, autonomous vehicles, etc. Although numerous excellent models have been …