Implicit Temporal Modeling with Learnable Alignment for Video Recognition-Reference-Cited by-同舟云学术

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Implicit Temporal Modeling with Learnable Alignment for Video Recognition

Published:2023-10-01 Issue: Volume: Page:19879-19890
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Tu Shuyuan¹,Dai Qi²,Wu Zuxuan¹,Cheng Zhi-Qi³,Hu Han²,Jiang Yu-Gang¹

Affiliation:

1. Fudan University,Shanghai Key Lab of Intell. Info. Processing, School of CS

2. Microsoft Research Asia

3. Carnegie Mellon University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378436.pdf?arnumber=10378436

Reference76 articles.

1. Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text;Akbari;NeurIPS,2021

2. Wasserstein gan;Arjovsky,2017

3. ViViT: A Video Vision Transformer

4. Layer normalization;Ba,2016

5. Is space-time attention all you need for video understanding?;Bertasius

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. PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition;International Journal of Computer Vision;2024-06-27

2. VT-Grapher: Video Tube Graph Network With Self-Distillation for Human Action Recognition;IEEE Sensors Journal;2024-05-01

3. Human-Object-Object Interaction: Towards Human-Centric Complex Interaction Detection;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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