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Found 2 papers, 1 papers with code
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer
Quantitative results demonstrate the superiority of our proposed model over the current state-of-the-art, which consistently achieves the lowest error for 3 time horizons of 0. 5, 1. 0 and 1. 5 seconds.
Multiscale Crowd Counting and Localization By Multitask Point Supervision
As the detection and localization tasks are well-correlated and can be jointly tackled, our model benefits from a multitask solution by learning multiscale representations of encoded crowd images, and subsequently fusing them.
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