activity
20172023
most citedTowards artificial general intelligence via a multimodal foundation model

285 citations · 493 across the 26 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

ViCo: Engaging Video Comment Generation with Human Preference Rewards

Yuchong Sun, Bei Liu, Xu Chen +2

Engaging video comments play an important role in video social media, as they are the carrier of feelings, thoughts, or humor of the audience. Preliminary works have made initial e…

cs.CV2023★ 1 cited

TeViS:Translating Text Synopses to Video Storyboards

Xu Gu, Yuchong Sun, Feiyue Ni +5

A video storyboard is a roadmap for video creation which consists of shot-by-shot images to visualize key plots in a text synopsis. Creating video storyboards, however, remains cha…

cs.CV2022★ 33 cited

Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

Yuchong Sun, Hongwei Xue, Ruihua Song +3

Large-scale video-language pre-training has shown significant improvement in video-language understanding tasks. Previous studies of video-language pretraining mainly focus on shor…

cs.CV2021★ 3 cited

Class-aware Sounding Objects Localization via Audiovisual Correspondence

Di Hu, Yake Wei, Rui Qian +3

Audiovisual scenes are pervasive in our daily life. It is commonplace for humans to discriminatively localize different sounding objects but quite challenging for machines to achie…

cs.CV2021★ 84 cited

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Yuqi Huo, Manli Zhang, Guangzhen Liu +32

Multi-modal pre-training models have been intensively explored to bridge vision and language in recent years. However, most of them explicitly model the cross-modal interaction bet…