IntentQA: Context-aware Video Intent Reasoning-Reference-Cited by-同舟云学术

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IntentQA: Context-aware Video Intent Reasoning

Published:2023-10-01 Issue: Volume:34 Page:11929-11940
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Li Jiapeng¹,Wei Ping¹,Han Wenjuan²,Fan Lifeng³

Affiliation:

1. Xi’an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,Xi’an,China

2. Beijing Jiaotong University,School of Computer and Information Technology,Beijing,China

3. Beijing Institute for General Artificial Intelligence (BIGAI),National Key Laboratory of General Artificial Intelligence,Beijing,China

Funder

Research and Development

Fundamental Research Funds for the Central Universities

Beijing Jiaotong University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376648.pdf?arnumber=10376648

Reference76 articles.

1. VQA: Visual Question Answering

2. Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

3. Discerning intentions in dynamic human action

4. From the perception of action to the understanding of intention

5. Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Joint learning of video scene detection and annotation via multi-modal adaptive context network;Expert Systems with Applications;2024-09

2. Dynamic Pathway for Query-Aware Feature Learning in Language-Driven Action Localization;IEEE Transactions on Multimedia;2024

3. Causal Inference Meets Deep Learning: A Comprehensive Survey;Research;2024-01

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