Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection-Reference-Cited by-同舟云学术

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Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Mac Khoi-Nguyen,Joshi Dhiraj,Yeh Raymond,Xiong Jinjun,Feris Rogerio,Do Minh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8972782/9008105/09010064.pdf?arnumber=9010064

Cited by 26 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

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2. Temporal Action Segmentation: An Analysis of Modern Techniques;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

3. Tackling confusion among actions for action segmentation with adaptive margin and energy-driven refinement;Machine Vision and Applications;2024-01-27

4. Flow Guidance Deformable Compensation Network for Video Frame Interpolation;IEEE Transactions on Multimedia;2024

5. MS-MH-TCN: Multi-Stage and Multi-Head Temporal Convolutional Network for Action Segmentation;Communications in Computer and Information Science;2024

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