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Xintian Shi

2 accepted papers

2022

PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points

NeurIPS 2022accept

Traditional temporal action detection (TAD) usually handles untrimmed videos with small number of action instances from a single label (e.g., ActivityNet, THUMOS). However, this setting might be unrealistic as different classes of actions often co-occur in practice. In this paper, we focus on the ta…

2020

TEA: Temporal Excitation and Aggregation for Action Recognition

CVPR 2020poster

Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Temporal Excitation and Aggregation (TEA) block, including a motion excitation (ME) module and a multiple temporal aggregation (MTA) modu…

Cited by 638PDFScholar