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arxiv: 1906.07016 · v1 · pith:53NFL6UXnew · submitted 2019-06-14 · 💻 cs.CV

Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019

Zhaofan Qiu , Dong Li , Yehao Li , Qi Cai , Yingwei Pan , Ting Yao This is my paper
classification 💻 cs.CV
keywords actionactivitynetchallengedense-captioningeventslocalizationrecognitionspatio-temporal
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This notebook paper presents an overview and comparative analysis of our systems designed for the following three tasks in ActivityNet Challenge 2019: trimmed action recognition, dense-captioning events in videos, and spatio-temporal action localization.

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  1. vireoJD-MM at Activity Detection in Extended Videos

    cs.CV 2019-06 unverdicted novelty 2.0

    The paper reports a multi-stage system for activity detection in extended videos that uses spatial object detections, temporal localization, tubelet generation variants, and late fusion of component outputs.