Hubert P. H. Shum

Separating spatial and temporal modeling in action recognition leads to significant performance gains, challenging the effectiveness of existing implicit coupling methods.

MMPM reveals that accurately modeling pedestrian intentions can drastically enhance trajectory prediction, outperforming traditional methods by addressing multimodal behaviors directly.