Explainable Video Entailment with Grounded Visual Evidence

Author:

Chen Junwen1,Golisano Yu Kong1

Affiliation:

1. Rochester Institute of Technology,College of Computing and Information Sciences,Rochester,NY,USA

Publisher

IEEE

Reference40 articles.

1. Weakly-supervised video object grounding from text by loss weighting and object interaction;zhou;BMVC,2018

2. Grounded Video Description

3. MovieQA: Understanding Stories in Movies through Question-Answering

4. A Corpus for Reasoning about Natural Language Grounded in Photographs

5. Very deep convo-lutional networks for large-scale image recognition;simonyan;arXiv preprint arXiv 1409 1556,2014

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1. Video Entailment via Reaching a Structure-Aware Cross-modal Consensus;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

2. Parameter-Efficient Transfer Learning for Audio-Visual-Language Tasks;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. TEVL: Trilinear Encoder for Video-language Representation Learning;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-06-07

4. Fine-Grained Visual Entailment;Lecture Notes in Computer Science;2022

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