most citedDistilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.HC2023★ 2 cited

Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition

Jingcheng Li, Lina Yao, Binghao Li +1

Human Activity Recognition is an important task in many human-computer collaborative scenarios, whilst having various practical applications. Although uni-modal approaches have bee…

cs.CV2023

Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion

Yao Liu, Zesheng Ye, Rui Wang +3

Tremendous efforts have been put forth on predicting pedestrian trajectory with generative models to accommodate uncertainty and multi-modality in human behaviors. An individual's…