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20152022
most citedVisual Madlibs: Fill in the blank Image Generation and Question Answering

80 citations · 216 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CL2021

MTVR: Multilingual Moment Retrieval in Videos

Jie Lei, Tamara L. Berg, Mohit Bansal

We introduce mTVR, a large-scale multilingual video moment retrieval dataset, containing 218K English and Chinese queries from 21.8K TV show video clips. The dataset is collected b…

cs.CL2020

What is More Likely to Happen Next? Video-and-Language Future Event Prediction

Jie Lei, Licheng Yu, Tamara L. Berg +1

Given a video with aligned dialogue, people can often infer what is more likely to happen next. Making such predictions requires not only a deep understanding of the rich dynamics…

cs.CL202012 cited

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Jie Lei, Liwei Wang, Yelong Shen +3

Generating multi-sentence descriptions for videos is one of the most challenging captioning tasks due to its high requirements for not only visual relevance but also discourse-base…

cs.CL2018

TVQA: Localized, Compositional Video Question Answering

Jie Lei, Licheng Yu, Mohit Bansal +1

Recent years have witnessed an increasing interest in image-based question-answering (QA) tasks. However, due to data limitations, there has been much less work on video-based QA.…

cs.CL20179 cited

Hierarchically-Attentive RNN for Album Summarization and Storytelling

Licheng Yu, Mohit Bansal, Tamara L. Berg

We address the problem of end-to-end visual storytelling. Given a photo album, our model first selects the most representative (summary) photos, and then composes a natural languag…