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Mimicry Matters: Multimodal Mimicry-Aware Engagement Estimation
Mimicry Matters: Multimodal Mimicry-Aware Engagement Estimation
we investigate human mimicry as a measurable form of interaction dynamics for engagement estimation. We propose a mimicry-aware framework that models multimodal temporal mimicry between interlocutors across facial, behavioral, and vocal modalities, and integrates these interaction dynamics with individual signals.
Crowd Traj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments
Crowd Traj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments
CrowdTraj, a benchmark for pedestrian trajectory prediction in natural dense crowd scenes. Unlike previous datasets, CrowdTraj supports end-toend evaluation from detection through tracking to trajectory prediction under severe occlusion in CCTV views.
Arxiv Link: https://arxiv.org/abs/2609.07685
Dataset Download Link: N/A Yet
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