most citedVideo Cloze Procedure for Self-Supervised Spatio-Temporal Learning

24 citations · 38 across the 4 of their papers we have counts for

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cs.CV2023

Zero-Shot Video Moment Retrieval from Frozen Vision-Language Models

Dezhao Luo, Jiabo Huang, Shaogang Gong +2

Accurate video moment retrieval (VMR) requires universal visual-textual correlations that can handle unknown vocabulary and unseen scenes. However, the learned correlations are lik…

cs.CV202110 cited

Video 3D Sampling for Self-supervised Representation Learning

Wei Li, Dezhao Luo, Bo Fang +2

Most of the existing video self-supervised methods mainly leverage temporal signals of videos, ignoring that the semantics of moving objects and environmental information are all c…

cs.CV20203 cited

Exploring Relations in Untrimmed Videos for Self-Supervised Learning

Dezhao Luo, Bo Fang, Yu Zhou +3

Existing video self-supervised learning methods mainly rely on trimmed videos for model training. However, trimmed datasets are manually annotated from untrimmed videos. In this se…

cs.CV20201 cited

Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning

Yuan Yao, Chang Liu, Dezhao Luo +2

In self-supervised spatio-temporal representation learning, the temporal resolution and long-short term characteristics are not yet fully explored, which limits representation capa…

cs.CV202024 cited

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

Dezhao Luo, Chang Liu, Yu Zhou +4

We propose a novel self-supervised method, referred to as Video Cloze Procedure (VCP), to learn rich spatial-temporal representations. VCP first generates "blanks" by withholding v…