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        AUTHOR = "Gangloff, H. and Pham, M.T. and Courtrai, L. and Lefevre, S.",
        TITLE = "Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for
Anomaly Detection",
        BOOKTITLE = "ICPR22",
        YEAR = "2022",
        PAGES = "435-441",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150618"}

@inproceedings{bb154701,
        AUTHOR = "da Cruz, S.D. and Taetz, B. and Stifter, T. and Stricker, D.",
        TITLE = "Autoencoder Attractors for Uncertainty Estimation",
        BOOKTITLE = "ICPR22",
        YEAR = "2022",
        PAGES = "2553-2560",
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@inproceedings{bb154702,
        AUTHOR = "Yeats, E. and Liu, F. and Womble, D. and Li, H.",
        TITLE = "NashAE: Disentangling Representations Through Adversarial Covariance
Minimization",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXVII:36-51",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150620"}

@inproceedings{bb154703,
        AUTHOR = "Yamazaki, M. and Kora, Y. and Nakao, T. and Lei, X.Y. and Yokoo, K.",
        TITLE = "Deep Feature Compression using Rate-Distortion Optimization Guided
Autoencoder",
        BOOKTITLE = ICIP22,
        YEAR = "2022",
        PAGES = "1216-1220",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150621"}

@inproceedings{bb154704,
        AUTHOR = "Duffhauss, F. and Vien, N.A. and Ziesche, H. and Neumann, G.",
        TITLE = "FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image
Fusion",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXIX:674-691",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150622"}

@inproceedings{bb154705,
        AUTHOR = "Zou, K.F. and Faisan, S. and Heitz, F. and Valette, S.",
        TITLE = "Joint Disentanglement of Labels and Their Features with VAE",
        BOOKTITLE = ICIP22,
        YEAR = "2022",
        PAGES = "1341-1345",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150623"}

@inproceedings{bb154706,
        AUTHOR = "Muralikrishnan, S. and Chaudhuri, S. and Aigerman, N. and Kim, V.G. and Fisher, M. and Mitra, N.J.",
        TITLE = "GLASS: Geometric Latent Augmentation for Shape Spaces",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "470-479",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150624"}

@inproceedings{bb154707,
        AUTHOR = "Wang, G.R. and Tang, Y.S. and Lin, L. and Torr, P.H.S.",
        TITLE = "Semantic-Aware Auto-Encoders for Self-supervised Representation
Learning",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "9654-9665",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150625"}

@inproceedings{bb154708,
        AUTHOR = "Anvekar, T. and Tabib, R.A. and Hegde, D. and Mudengudi, U.",
        TITLE = "VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder",
        BOOKTITLE = DLGC22,
        YEAR = "2022",
        PAGES = "2977-2984",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150626"}

@inproceedings{bb154709,
        AUTHOR = "Karunratanakul, K. and Preechakul, K. and Aksan, E. and Beeler, T. and Suwajanakorn, S. and Tang, S.",
        TITLE = "Optimizing Diffusion Noise Can Serve As Universal Motion Priors",
        BOOKTITLE = CVPR24,
        YEAR = "2024",
        PAGES = "1334-1345",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150627"}

@inproceedings{bb154710,
        AUTHOR = "Preechakul, K. and Chatthee, N. and Wizadwongsa, S. and Suwajanakorn, S.",
        TITLE = "Diffusion Autoencoders:
Toward a Meaningful and Decodable Representation",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "10609-10619",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150628"}

@inproceedings{bb154711,
        AUTHOR = "Chauhan, K. and Mohan, U.B. and Shenoy, P. and Gupta, M. and Sridharan, D.",
        TITLE = "Robust outlier detection by de-biasing VAE likelihoods",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "9871-9880",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150629"}

@inproceedings{bb154712,
        AUTHOR = "Kim, M.Y.",
        TITLE = "Gaussian Process Modeling of Approximate Inference Errors for
Variational Autoencoders",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "244-253",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150630"}

@inproceedings{bb154713,
        AUTHOR = "Foti, S. and Koo, B.J. and Stoyanov, D. and Clarkson, M.J.",
        TITLE = "3D Shape Variational Autoencoder Latent Disentanglement via
Mini-Batch Feature Swapping for Bodies and Faces",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "18709-18718",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern654vae2.html#TT150631"}

@inproceedings{bb154714,
        AUTHOR = "Shao, H.J. and Yang, Y.F. and Lin, H.H. and Lin, L.Z. and Chen, Y.Z. and Yang, Q.M. and Zhao, H.",
        TITLE = "Rethinking Controllable Variational Autoencoders",
        BOOKTITLE = CVPR22,
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@inproceedings{bb154715,
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        TITLE = "Grad2 VAE: An Explainable Variational Autoencoder Model Based on Online
Attentions Preserving Curvatures of Representations",
        BOOKTITLE = CIAP22,
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@inproceedings{bb154716,
        AUTHOR = "Bastos, I.L.O. and Melo, V.H.C. and Prates, R.F. and Schwartz, W.R.",
        TITLE = "DASP: Dual-autoencoder Architecture for Skin Prediction",
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@inproceedings{bb154717,
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        TITLE = "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different
Sizes",
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@inproceedings{bb154718,
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using One-Class Classification",
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@inproceedings{bb154719,
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@inproceedings{bb154720,
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@inproceedings{bb154721,
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Reconstruction in Visual-Semantic Embedding Space",
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@inproceedings{bb154722,
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        TITLE = "IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision",
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@inproceedings{bb154723,
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@inproceedings{bb154725,
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@inproceedings{bb154726,
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@inproceedings{bb154727,
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@inproceedings{bb154728,
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@inproceedings{bb154729,
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@inproceedings{bb154730,
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@inproceedings{bb154731,
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@inproceedings{bb154732,
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@inproceedings{bb154733,
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@inproceedings{bb154750,
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@inproceedings{bb154751,
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@inproceedings{bb154752,
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@inproceedings{bb154755,
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@inproceedings{bb154756,
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@inproceedings{bb154757,
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@inproceedings{bb154758,
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@inproceedings{bb154759,
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@inproceedings{bb154760,
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