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@inproceedings{bb167560,
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@inproceedings{bb167562,
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Generative Adversarial Networks",
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@inproceedings{bb167563,
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Separation",
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@inproceedings{bb167564,
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@inproceedings{bb167565,
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        TITLE = "Investigation of Filtering and Objects Detection Algorithms for A
Multizone Image Sequence",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i761.html#TT163043"}

@inproceedings{bb167566,
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        TITLE = "Robustification of Deep Net Classifiers by Key Based Diversified
Aggregation with Pre-Filtering",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i761.html#TT163044"}

@inproceedings{bb167567,
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        YEAR = "2019",
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@inproceedings{bb167568,
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Detection",
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@inproceedings{bb167569,
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@inproceedings{bb167570,
        AUTHOR = "Xie, R.J. and Wang, Y.C. and Xie, T. and Zhang, Y.H. and Xu, L. and Lu, J. and Wang, Q.",
        TITLE = "Adversarial Training for Video Disentangled Representation",
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@inproceedings{bb167571,
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@inproceedings{bb167572,
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        TITLE = "A New Foreground Segmentation Method for Video Analysis in Different
Color Spaces",
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@inproceedings{bb167573,
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        TITLE = "Interpolation-Based Object Detection Using Motion Vectors for
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@inproceedings{bb167574,
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        TITLE = "Video Object Detection with an Aligned Spatial-Temporal Memory",
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@inproceedings{bb167575,
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@inproceedings{bb167576,
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        TITLE = "Fully Motion-Aware Network for Video Object Detection",
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@inproceedings{bb167577,
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@inproceedings{bb167578,
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        TITLE = "Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection",
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@inproceedings{bb167579,
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        TITLE = "Illuminant-Camera Communication to Observe Moving Objects under
Strong External Light by Spread Spectrum Modulation",
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@inproceedings{bb167580,
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        TITLE = "FusionSeg: Learning to Combine Motion and Appearance for Fully
Automatic Segmentation of Generic Objects in Videos",
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@inproceedings{bb167581,
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@inproceedings{bb167582,
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@inproceedings{bb167586,
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@inproceedings{bb167596,
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@inproceedings{bb167597,
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@inproceedings{bb167598,
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@inproceedings{bb167599,
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