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LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020
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# LiteFlowNet3
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This repository (<strong>https://github.com/twhui/LiteFlowNet3</strong>) is the offical release of <strong>LiteFlowNet3</strong> for my paper <strong>LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation</strong> in ECCV 2020. The arXiv pre-print is available <a href="https://arxiv.org/pdf/2007.09319.pdf"> here</a>.
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# License and Citation 
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This software and associated documentation files (the "Software"), and the research paper (LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation) including but not limited to the figures, and tables (the "Paper") are provided for research purposes only and without any warranty. Any commercial use requires my consent. When using any parts of the Software or the Paper in your work, please cite the following papers:
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<pre><code>@InProceedings{hui20liteflownet3,    
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author = {Tak-Wai Hui and Chen Change Loy},    
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title = {{LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation}}, 
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journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
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year = {2020},    
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}</code></pre>
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<pre><code>@InProceedings{hui20liteflownet2,    
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author = {Tak-Wai Hui and Xiaoou Tang and Chen Change Loy},    
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title = {{A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization}, 
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journal = {Proceedings of the European Conference on Computer Vision (ECCV)},
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year = {2020},    
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url = {http://mmlab.ie.cuhk.edu.hk/projects/LiteFlowNet/} 
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}</code></pre>
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<pre><code>@InProceedings{hui18liteflownet,    
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author = {Tak-Wai Hui and Xiaoou Tang and Chen Change Loy},    
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title = {LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation},    
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booktitle  = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},    
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year = {2018},    
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pages = {8981--8989},
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url = {http://mmlab.ie.cuhk.edu.hk/projects/LiteFlowNet/} 
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}</code></pre>

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