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        AUTHOR = "Zhao, J.B.J. and Cho, K.H.",
        TITLE = "Retrieval-Augmented Convolutional Neural Networks Against Adversarial
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        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166001,
        AUTHOR = "Yu, B. and Wu, J.F. and Ma, J.W. and Zhu, Z.X.",
        TITLE = "Tangent-Normal Adversarial Regularization for Semi-Supervised Learning",
        BOOKTITLE = CVPR19,
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@inproceedings{bb166002,
        AUTHOR = "Jaiswal, A. and Wu, Y. and Abd Almageed, W. and Masi, I. and Natarajan, P.",
        TITLE = "AIRD: Adversarial Learning Framework for Image Repurposing Detection",
        BOOKTITLE = CVPR19,
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@inproceedings{bb166003,
        AUTHOR = "Taghanaki, S.A. and Abhishek, K. and Azizi, S. and Hamarneh, G.",
        TITLE = "A Kernelized Manifold Mapping to Diminish the Effect of Adversarial
Perturbations",
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@inproceedings{bb166004,
        AUTHOR = "Liang, J. and Cao, Y. and Zhang, C.B. and Chang, S.Y. and Bai, K. and Xu, Z.L.",
        TITLE = "Additive Adversarial Learning for Unbiased Authentication",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166005,
        AUTHOR = "Liu, Z.H. and Liu, Q. and Liu, T. and Xu, N. and Lin, X. and Wang, Y.Z. and Wen, W.J.",
        TITLE = "Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial
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        BOOKTITLE = CVPR19,
        YEAR = "2019",
        PAGES = "860-868",
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@inproceedings{bb166006,
        AUTHOR = "Huh, M.Y. and Sun, S.H. and Zhang, N.",
        TITLE = "Feedback Adversarial Learning: Spatial Feedback for Improving
Generative Adversarial Networks",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166007,
        AUTHOR = "Ghasedi, K. and Wang, X.Q. and Deng, C. and Huang, H.",
        TITLE = "Balanced Self-Paced Learning for Generative Adversarial Clustering
Network",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166008,
        AUTHOR = "Qi, M.S. and Wang, Y.H. and Qin, J. and Li, A.",
        TITLE = "KE-GAN: Knowledge Embedded Generative Adversarial Networks for
Semi-Supervised Scene Parsing",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166009,
        AUTHOR = "Park, J.S. and Rohrbach, M. and Darrell, T.J. and Rohrbach, A.",
        TITLE = "Adversarial Inference for Multi-Sentence Video Description",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166010,
        AUTHOR = "Xiao, C.W. and Yang, D.W. and Li, B. and Deng, J. and Liu, M.Y.",
        TITLE = "MeshAdv: Adversarial Meshes for Visual Recognition",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166011,
        AUTHOR = "Heim, E.",
        TITLE = "Constrained Generative Adversarial Networks for Interactive Image
Generation",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166012,
        AUTHOR = "Gomez Villa, A. and Martin, A. and Vazquez Corral, J. and Bertalmio, M.",
        TITLE = "Convolutional Neural Networks Can Be Deceived by Visual Illusions",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166013,
        AUTHOR = "Liu, F. and Deng, X.M. and Lai, Y.K. and Liu, Y.J. and Ma, C.X. and Wang, H.A.",
        TITLE = "SketchGAN: Joint Sketch Completion and Recognition With Generative
Adversarial Network",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern653.html#TT161852"}

@inproceedings{bb166014,
        AUTHOR = "Eghbal zadeh, H. and Zellinger, W. and Widmer, G.",
        TITLE = "Mixture Density Generative Adversarial Networks",
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        YEAR = "2019",
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@inproceedings{bb166015,
        AUTHOR = "Zhu, B. and Ngo, C.W. and Chen, J.J. and Hao, Y.B.",
        TITLE = "R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb166016,
        AUTHOR = "Romijnders, R. and Mahendran, A. and Tschannen, M. and Djolonga, J. and Ritter, M. and Houlsby, N. and Lucic, M.",
        TITLE = "Representation learning from videos in-the-wild:
An object-centric approach",
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@inproceedings{bb166017,
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@inproceedings{bb166018,
        AUTHOR = "Papadopoulos, D.P. and Tamaazousti, Y. and Ofli, F. and Weber, I. and Torralba, A.B.",
        TITLE = "How to Make a Pizza: Learning a Compositional Layer-Based GAN Model",
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@inproceedings{bb166019,
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@inproceedings{bb166020,
        AUTHOR = "Vandenhende, S. and de Brabandere, B. and Neven, D. and Van Gool, L.J.",
        TITLE = "A Three-Player GAN: Generating Hard Samples to Improve Classification
Networks",
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@inproceedings{bb166021,
        AUTHOR = "Pinetz, T. and Soukup, D. and Pock, T.",
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@inproceedings{bb166022,
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@inproceedings{bb166023,
        AUTHOR = "Mao, Q. and Wang, S. and Zhang, X. and Wang, S. and Ma, S.",
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@inproceedings{bb166024,
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@inproceedings{bb166025,
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@inproceedings{bb166026,
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@inproceedings{bb166027,
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@inproceedings{bb166028,
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@inproceedings{bb166038,
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@inproceedings{bb166039,
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