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20192023
most citedLatent Video Diffusion Models for High-Fidelity Long Video Generation

27 citations · 81 across the 11 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 10 cited

SimVTP: Simple Video Text Pre-training with Masked Autoencoders

Yue Ma, Tianyu Yang, Yin Shan +1

This paper presents SimVTP: a Simple Video-Text Pretraining framework via masked autoencoders. We randomly mask out the spatial-temporal tubes of input video and the word tokens of…

cs.CV2022★ 27 cited

Latent Video Diffusion Models for High-Fidelity Long Video Generation

Yingqing He, Tianyu Yang, Yong Zhang +2

AI-generated content has attracted lots of attention recently, but photo-realistic video synthesis is still challenging. Although many attempts using GANs and autoregressive models…

cs.CV2022★ 1 cited

SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization

Zhihui Lin, Tianyu Yang, Maomao Li +4

Matching-based methods, especially those based on space-time memory, are significantly ahead of other solutions in semi-supervised video object segmentation (VOS). However, continu…

cs.CV2022★ 5 cited

LocVTP: Video-Text Pre-training for Temporal Localization

Meng Cao, Tianyu Yang, Junwu Weng +3

Video-Text Pre-training (VTP) aims to learn transferable representations for various downstream tasks from large-scale web videos. To date, almost all existing VTP methods are limi…

cs.CV2022★ 5 cited

Unsupervised Pre-training for Temporal Action Localization Tasks

Can Zhang, Tianyu Yang, Junwu Weng +3

Unsupervised video representation learning has made remarkable achievements in recent years. However, most existing methods are designed and optimized for video classification. The…

cs.CR2022★ 4 cited

Semantic-Preserving Linguistic Steganography by Pivot Translation and Semantic-Aware Bins Coding

Tianyu Yang, Hanzhou Wu, Biao Yi +2

Linguistic steganography (LS) aims to embed secret information into a highly encoded text for covert communication. It can be roughly divided to two main categories, i.e., modifica…