diff options
Diffstat (limited to 'site/datasets/unknown/flickr_faces.json')
| -rw-r--r-- | site/datasets/unknown/flickr_faces.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/flickr_faces.json b/site/datasets/unknown/flickr_faces.json index 5dbbfeac..4fe5e2df 100644 --- a/site/datasets/unknown/flickr_faces.json +++ b/site/datasets/unknown/flickr_faces.json @@ -1 +1 @@ -{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "citations": [{"id": "95aa0a6ec61319496b40735e89c9354ed07468aa", "title": "Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.02165.pdf"], "doi": []}, {"id": "db04cf426357724df54519f8b8af1ca8b56dc38e", "title": "Synthesizing Coupled 3 D Face Modalities by Trunk-Branch Generative Adversarial Networks", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/db04/cf426357724df54519f8b8af1ca8b56dc38e.pdf"], "doi": []}, {"id": "24bae1dbad640d81306d106a380261eb7d6063fb", "title": "Unsupervised Object Segmentation by Redrawing", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13539.pdf"], "doi": []}, {"id": "00960e0c95d398a1b10b6cfb0a17db073ef4a78a", "title": "Enriching Financial Datasets with Generative Adversarial Networks", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0096/0e0c95d398a1b10b6cfb0a17db073ef4a78a.pdf"], "doi": []}, {"id": "22f46c09d942e222dbe6a9da954e8cc0501bc569", "title": "READ: Recursive Autoencoders for Document Layout Generation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.00302.pdf"], "doi": []}, {"id": "36b807372d084ccf433d9e3dc73ef4718fb5cb46", "title": "A Learned Representation for Scalable Vector Graphics", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02632.pdf"], "doi": []}, {"id": "b9e5c79339f5be61d127b46c8e25cf4dd5d0c5b5", "title": "Multiple-Identity Image Attacks Against Face-based Identity Verification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08507.pdf"], "doi": []}, {"id": "db50c58ff1d377948b74ca1c8b4a78881dfb832c", "title": "Learning to see stuff", "year": "2019", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2352154619300397?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.cobeha.2019.07.004"]}, {"id": "bf095a26a34757616b29215617a99af8dc634e52", "title": "Learning Object Representations by Mixing Scenes Master Thesis", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bf09/5a26a34757616b29215617a99af8dc634e52.pdf"], "doi": []}, {"id": "725c650ae8db8d9a57e4a7b15a555dbe69b67054", "title": "GANSynth: Adversarial Neural Audio Synthesis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.08710.pdf"], "doi": []}, {"id": "c72cc4ac1bead4c6f2a9233d5e4f1a6763cdc791", "title": "SO(8) Supergravity and the Magic of Machine Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00207.pdf"], "doi": []}, {"id": "c002ceaeee6fb74bebbdc2012a877ba78f1fd4de", "title": "Emergence of Object Segmentation in Perturbed Generative Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12663.pdf"], "doi": []}, {"id": "a8f3dc53e321fbb2565f5925def4365b9f68d1af", "title": "Self-Attention Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08318.pdf"], "doi": []}, {"id": "e312226d64c86662eadf182e9e5f909b5f01ef60", "title": "LIA: Latently Invertible Autoencoder with Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08090.pdf"], "doi": []}, {"id": "5770d15f72758a8489aa3d70ea6e3c03aff806e6", "title": "Channel Decomposition on Generative Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04694.pdf"], "doi": []}, {"id": "37f675bf4329cd9e0811e232e81eef2b814c703d", "title": "Generative Adversarial Networks: A Survey and Taxonomy", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.01529.pdf"], "doi": []}, {"id": "fef7b26828d4e76bb7ce103eea073b0fcf946f96", "title": "Beauty Learning and Counterfactual Inference", "year": "", "pdf": ["https://pdfs.semanticscholar.org/fef7/b26828d4e76bb7ce103eea073b0fcf946f96.pdf"], "doi": []}, {"id": "3d25b82943a49dc7ecbe2e35551bd614886deb31", "title": "Output Standard ResNet Output Invertible ResNet InputInput", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3d25/b82943a49dc7ecbe2e35551bd614886deb31.pdf"], "doi": []}, {"id": "9f1766ed74777e4cb5bdc5a0bf0014165511e0ba", "title": "Curriculum Learning for Deep Generative Models with Clustering", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11594.pdf"], "doi": []}, {"id": "b4458e7abc14269d45ffec33ef070e050caae05b", "title": "Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09856.pdf"], "doi": []}, {"id": "57ac8ee66097274a5774ac33ef41e7855811cd57", "title": "Unsupervised Image Decomposition in Vector Layers.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.05484.pdf"], "doi": []}, {"id": "8ccb88958358ea59bdc9b76f660b01c8f631b2c0", "title": "HoloGAN: Unsupervised learning of 3D representations from natural images", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01326.pdf"], "doi": []}, {"id": "a2e7834bb1ae12ca0d4c9396f411fd0e3cf2b723", "title": "Seeing What a GAN Cannot Generate", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fd32/26bcdfa7c7f25e2e4b25674c33f93a08fbdc.pdf"], "doi": []}, {"id": "1428ab147371751bc3966c938825ef23e7fa80ee", "title": "The Art of Food: Meal Image Synthesis from Ingredients", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13149.pdf"], "doi": []}, {"id": "62931b3e0dce8748364e19c87ef318e22ec59c7f", "title": "Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03189.pdf"], "doi": []}, {"id": "a0e8f4348968195c80494b7a4245edb91a252c93", "title": "Deep Generative and Discriminative Embeddings for Novelty Detection", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0e8/f4348968195c80494b7a4245edb91a252c93.pdf"], "doi": []}, {"id": "7c9c5e5e66302a9296444a233b63683c21778561", "title": "LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07290.pdf"], "doi": []}, {"id": "19804c87ebb4ff861516a2a18591fd56afa41499", "title": "From Mondrian to Modular Synth : Rendering NIME using Generative Adversarial Networks", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1980/4c87ebb4ff861516a2a18591fd56afa41499.pdf"], "doi": []}, {"id": "33c7aef1f382f6167a950fd21e35b7c19a4ea14c", "title": "A Neuro-AI Interface: Learning DNNs from the Human Brain", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/33c7/aef1f382f6167a950fd21e35b7c19a4ea14c.pdf"], "doi": []}, {"id": "f34f14faa6f6144adb626fa8dee1286f0b734772", "title": "High-Fidelity Image Generation With Fewer Labels", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.02271.pdf"], "doi": []}, {"id": "8881f1b45ec6f0e1805627c828629cdd925bcfc6", "title": "Inspirational Adversarial Image Generation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11661.pdf"], "doi": []}, {"id": "bea263bafa31afadd9d6e150d9ac09251ffe56ee", "title": "Generating High-Resolution Fashion Model Images Wearing Custom Outfits", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.08847.pdf"], "doi": []}, {"id": "a7c531c4a38721516c6c4c155ee2234e0a3656a1", "title": "RAG: Facial Attribute Editing by Learning Residual Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8746217"]}, {"id": "41debc11e322ab83ca6ae2046781baad8b6361e8", "title": "A Large-Scale Study on Regularization and Normalization in GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04720.pdf"], "doi": []}, {"id": "5f9739c0f49e1a60a93969471243ace818bf5aa7", "title": "Theses 5-2019 Structure Preserving regularizer for Neural Style Transfer", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5f97/39c0f49e1a60a93969471243ace818bf5aa7.pdf"], "doi": []}, {"id": "4c94ee7df6bc2bfcac76703be4f059a79010f7e5", "title": "Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06162.pdf"], "doi": []}, {"id": "75187014e7efd823eecfa833217ebb3ea7187107", "title": "Bridging Dialogue Generation and Facial Expression Synthesis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.11240.pdf"], "doi": []}, {"id": "ee1d22f56361547e0f357b9ecc02f6cb31416f72", "title": "Style Transfer Applied to Face Liveness Detection with User-Centered Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07270.pdf"], "doi": []}, {"id": "7b35e14eb91fd99eda507552945975e6dbcf2952", "title": "Evaluating the distribution learning capabilities of GANs", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02662.pdf"], "doi": []}, {"id": "72e968a606ef656cd46dc2d875a8e70cc50508a9", "title": "There is no general AI: Why Turing machines cannot pass the Turing test", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.05833.pdf"], "doi": []}, {"id": "ecc7f561976b3725f788623d84436a2685dca204", "title": "Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed", "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01174.pdf"], "doi": []}, {"id": "b9c78b104b9d31e01cd852192a369c6dd6f4cbab", "title": "FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.11805.pdf"], "doi": []}, {"id": "9494a253f1b3c8627587fc94e659440d355f08c8", "title": "Improved Generalisation Bounds for Deep Learning Through $L^\\infty$ Covering Numbers.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12430.pdf"], "doi": []}, {"id": "c4da1d5ec5bab365e2f36aa874bc71660e6114b4", "title": "Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07882.pdf"], "doi": []}, {"id": "a81f1abc25596361a0583617b4da784f4b559e9c", "title": "AnonymousNet : Natural Face De-Identification with Measurable Privacy", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a81f/1abc25596361a0583617b4da784f4b559e9c.pdf"], "doi": []}, {"id": "b84e90c9d16a1cc1ba6153f351b08611d1077d30", "title": "Controlled Modification of Generated (Style)GAN Latent Vectors", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6af8/6e7d68f18b61af4ed18deecaef9de2e0ff85.pdf"], "doi": []}, {"id": "a4d08b98dd22b87a2b3b6c4e44496f604d92950b", "title": "Measuring the Effectiveness of Voice Conversion on Speaker Identification and Automatic Speech Recognition Systems", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12531.pdf"], "doi": []}, {"id": "246a91b1737bdcc777efb7d85e37c51476886785", "title": "Detecting AI-Synthesized Speech Using Bispectral Analysis", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e3cd/431123b6cfb5fcef2143c5dee5809b1aec77.pdf"], "doi": []}, {"id": "21c07304466328bafe0b493f9583641f5f745c48", "title": "Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.09877.pdf"], "doi": []}, {"id": "e953ebb0d4637044c90436de5b973d64b3f45dcc", "title": "A Survey of Image Information Hiding Algorithms Based on Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e953/ebb0d4637044c90436de5b973d64b3f45dcc.pdf"], "doi": []}, {"id": "3984845ee41dd4bbd3fe5c70521e4a1d2aa05f99", "title": "AnonymousNet: Natural Face De-Identification with Measurable Privacy", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.12620.pdf"], "doi": []}, {"id": "965359b3008ab50dd04e171551220ec0e7f83aba", "title": "Generative Modeling by Estimating Gradients of the Data Distribution", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05600.pdf"], "doi": []}, {"id": "eab5eaba0034a538394753edfa462a407102d1de", "title": "Texture Fields: Learning Texture Representations in Function Space", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07259.pdf"], "doi": []}, {"id": "345e908980cf79f310fd3c7f21069bf64e1744af", "title": "Inspirational adversarial image generation Exploring the latent space of GANs", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/345e/908980cf79f310fd3c7f21069bf64e1744af.pdf"], "doi": []}, {"id": "78bde1f48a57f31cdf64ae68012e1b23571d7c1c", "title": "Deep Music Analogy Via Latent Representation Disentanglement", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.03626.pdf"], "doi": []}, {"id": "36f7cfd15ec92239e0cdd3a034702c29010d972c", "title": "Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10515.pdf"], "doi": []}, {"id": "79bc6e1fe465aec49d7f0252f295c0ad9cdaf389", "title": "Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01871.pdf"], "doi": []}, {"id": "ca42e4d7021d4e563bbeae7db35c1ce09fe38bfa", "title": "Classification Accuracy Score for Conditional Generative Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10887.pdf"], "doi": []}, {"id": "24262bd12149b0b8322e0691fa30ec1a4c06b9a8", "title": "Efficient Video Generation on Complex Datasets", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06571.pdf"], "doi": []}, {"id": "fd4e3d6cd3c9078c078178f885ae76db958340be", "title": "Synthetic Image Translation for Football Players Pose Estimation", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/58af/d93965e613bdc6e98136cccd81774af2a21c.pdf"], "doi": []}, {"id": "fe6b20332d37c50722aee0c6133df6c70826d27f", "title": "Spatially Controllable Image Synthesis with Internal Representation Collaging.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.10153.pdf"], "doi": []}, {"id": "806bb0d6688ce0d93fbe34112922060506acbf6c", "title": "Invertible Residual Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00995.pdf"], "doi": []}, {"id": "03e504fd71cdc80ebcc16798e951ece979eb7e0e", "title": "Image Synthesis From Reconfigurable Layout and Style", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07500.pdf"], "doi": []}, {"id": "79fe166e4f6f659dbb440d73e0f07ad11265f48d", "title": "Deep learning advancements: closing the gap", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8757133"]}, {"id": "39ce89817e1909d33a107a9dcd4af6cb3b884842", "title": "Class-Distinct and Class-Mutual Image Generation with GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11163.pdf"], "doi": []}, {"id": "1e4ce741c9b5dd993826c34b492ffe9b250ea9fb", "title": "Attentive Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01259.pdf"], "doi": []}, {"id": "00163b1287321eab6543c087f866f79f6c743ddb", "title": "ChromaGAN: An Adversarial Approach for Picture Colorization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.09837.pdf"], "doi": []}, {"id": "2bc5c29a3b7784113c63c91ed758c44a8c06ec0e", "title": "TileGAN: synthesis of large-scale non-homogeneous textures", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3322993"]}, {"id": "fcdcde3f796fc2c7d6bdeeb4f6b2281ec18be614", "title": "Hierarchical Autoregressive Image Models with Auxiliary Decoders", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04933.pdf"], "doi": []}, {"id": "74ee4fc4cbbd74553c80d8b378b0e809a372b184", "title": "A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11478.pdf"], "doi": []}, {"id": "dbf513d27e20f41f095cacb6b8ef7bc136ce7cd1", "title": "A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07262.pdf"], "doi": []}, {"id": "27c6155fe17144cb28e727ca33ce57479e919db7", "title": "Chinese flower-bird character generation based on pencil drawings or brush drawings", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/1.JEI.28.3.033029"]}, {"id": "3ffbca69a2bdd21e2585f096902bdd79c8a2630f", "title": "Collaborative GAN Sampling", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "59f5e8fcf7ca84c8c9eb29e0f627e972e69bf061", "title": "Collaborative Sampling in Generative Adversarial Networks.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "426ce52b0c4ac73e6226c532d4d8a2171f12e9fb", "title": "Emotion Reinforced Visual Storytelling", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325050"]}, {"id": "6b013d0027eb05b318bc08f716920b3d92582682", "title": "Attribute-Driven Spontaneous Motion in Unpaired Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01452.pdf"], "doi": []}, {"id": "21371ba463bb1dcab7c92b1780b808ea440f1774", "title": "Adversarial Attack Type I: Cheat Classifiers by Significant Changes.", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1648/0bf3544412ab893a750348acef19c5a76d66.pdf"], "doi": []}, {"id": "1da3ffde612cbdfa861e9b530c3b795504682335", "title": "Detecting and Simulating Artifacts in GAN Fake Images", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06515.pdf"], "doi": []}, {"id": "cde35c87aaabbc617d38f9cfaa2721a2e166d750", "title": "Large Scale Adversarial Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02544.pdf"], "doi": []}, {"id": "edbe883de858f2f8aff760b24626ee1e7eaeadaf", "title": "Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.03728.pdf"], "doi": []}, {"id": "8d36b4b1a1c0f538b9d4f79671ecfc8a196c5bb0", "title": "Positional Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.04312.pdf"], "doi": []}, {"id": "da66d5d96f7a9430249639c9391d80add15a8611", "title": "Conditional Neural Style Transfer with Peer-Regularized Feature Transform", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.02913.pdf"], "doi": []}, {"id": "7a56ab8785970885460cc3cc9092b5cd769d2a4f", "title": "Scaling up deep neural networks: a capacity allocation perspective", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04455.pdf"], "doi": []}, {"id": "5e088e188bd67f902ac28aef98dc433fc334ecb8", "title": "PolyGAN: High-Order Polynomial Generators", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06571.pdf"], "doi": []}, {"id": "9fac2ad81a561398506ce566d897f7169583b4f8", "title": "On the \"steerability\" of generative adversarial networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07171.pdf"], "doi": []}, {"id": "0ee8599185273fa78644ccccd32ae91643a80251", "title": "Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00999.pdf"], "doi": []}, {"id": "3f4a0bb3f031cbe7b0043243116e779c1e75d493", "title": "FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04913.pdf"], "doi": []}, {"id": "deb956b70eb93bb08eaabc18fb11aed9bd20d08f", "title": "SRM : A Style-based Recalibration Module for Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10829.pdf"], "doi": []}, {"id": "b72dc85606e84b020629a25a653f34b612eb02bc", "title": "Class-conditioned Outline-to-Image Translation Interactive Sketch & Fill", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b72d/c85606e84b020629a25a653f34b612eb02bc.pdf"], "doi": []}, {"id": "fc684c97d18d8dbb27b45a669209071f6dd36988", "title": "MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03938.pdf"], "doi": []}, {"id": "bb0ba74be5248c3ec684e164b4c2cb92f04c1c0b", "title": "A Survey on Face Data Augmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11685.pdf"], "doi": []}, {"id": "b3fb0ac4a658a176dea67c825b9867cfe4024a3d", "title": "ProtoGANist: Protocol Reverse Engineering using Generative Adversarial Networks", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b3fb/0ac4a658a176dea67c825b9867cfe4024a3d.pdf"], "doi": []}, {"id": "d7f5f03469cf133487c684c689710c0e1ed039ce", "title": "One-shot Face Reenactment", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.03251.pdf"], "doi": []}, {"id": "22c46ac094c399f4a92c922a5537c93a5d03f61a", "title": "TunaGAN: Interpretable GAN for Smart Editing", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06163.pdf"], "doi": []}, {"id": "140b0b296017750309331f22e1c569aaa86f8ba5", "title": "Improved Generalisation Bounds for Deep Learning Through L\u221e Covering Numbers", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/140b/0b296017750309331f22e1c569aaa86f8ba5.pdf"], "doi": []}, {"id": "7a8d6ffbbe2b0a5e7b98d8d5d22d1f74ff60f333", "title": "DualDis: Dual-Branch Disentangling with Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00804.pdf"], "doi": []}, {"id": "b735afafc3c71e4cdeb3a1cf4d9517c9cd319680", "title": "VQ VQ Encoder DecoderEncoder Decoder", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b735/afafc3c71e4cdeb3a1cf4d9517c9cd319680.pdf"], "doi": []}, {"id": "dffba9e340c0255e88a7119d5b79fae8c6287984", "title": "Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.09288.pdf"], "doi": []}, {"id": "ba492f8000f9a156c79ebf284afa2127d3c284ca", "title": "Semi-supervised Image Attribute Editing using Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01841.pdf"], "doi": []}, {"id": "bc06caa65e384c8fddcaf6aec668938b80ccf638", "title": "A Generative Adversarial Network for AI-Aided Chair Design", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695313"]}, {"id": "d57622db429112152ee726bbee80ddd567c342bc", "title": "Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.05840.pdf"], "doi": []}, {"id": "d383dd8ced85d7898d8b1546c514a34fb626ea16", "title": "Improved Precision and Recall Metric for Assessing Generative Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06991.pdf"], "doi": []}, {"id": "d6c40ae1110f665e1783440aa8fb560d72bec44f", "title": "CFSNet: Toward a Controllable Feature Space for Image Restoration", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.00634.pdf"], "doi": []}, {"id": "203895ef650c7f5ea9d6ce9645c5c61e45be7981", "title": "Malware classification using fusion of neural networks", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/12.2533344"]}, {"id": "6c056c17e15539b093403d1d7b8c851efe361898", "title": "The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.03776.pdf"], "doi": []}, {"id": "bfaf399acf487a57a0d19b78b9308292a3e13f1b", "title": "Design and Visualization of Guided GAN on MNIST dataset", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3338489"]}, {"id": "acbeebdfd9dd3456628604eefcd53f50f974b132", "title": "Generative Adversarial Network in Medical Imaging: A Review", "year": "2018", "pdf": ["http://arxiv-export-lb.library.cornell.edu/pdf/1809.07294", "https://arxiv.org/pdf/1809.07294.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/31521965", "https://doi.org/10.1016/j.media.2019.101552"]}, {"id": "3a7fa673ff8ec4ec2f322473de005f3cd09ea820", "title": "AutoML: A Survey of the State-of-the-Art", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00709.pdf"], "doi": []}, {"id": "d3810f2c401874651afce74fb0a54b309491cc29", "title": "AutoGAN: Neural Architecture Search for Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.03835.pdf"], "doi": []}, {"id": "98967cbb7887088b0681e79e7e99d30c44c5de12", "title": "Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10489.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "citations": [{"id": "36b807372d084ccf433d9e3dc73ef4718fb5cb46", "title": "A Learned Representation for Scalable Vector Graphics", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02632.pdf"], "doi": []}, {"id": "b9e5c79339f5be61d127b46c8e25cf4dd5d0c5b5", "title": "Multiple-Identity Image Attacks Against Face-based Identity Verification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08507.pdf"], "doi": []}, {"id": "db50c58ff1d377948b74ca1c8b4a78881dfb832c", "title": "Learning to see stuff", "year": "2019", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2352154619300397?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.cobeha.2019.07.004"]}, {"id": "725c650ae8db8d9a57e4a7b15a555dbe69b67054", "title": "GANSynth: Adversarial Neural Audio Synthesis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.08710.pdf"], "doi": []}, {"id": "c72cc4ac1bead4c6f2a9233d5e4f1a6763cdc791", "title": "SO(8) Supergravity and the Magic of Machine Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00207.pdf"], "doi": []}, {"id": "a8f3dc53e321fbb2565f5925def4365b9f68d1af", "title": "Self-Attention Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08318.pdf"], "doi": []}, {"id": "37f675bf4329cd9e0811e232e81eef2b814c703d", "title": "Generative Adversarial Networks: A Survey and Taxonomy", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.01529.pdf"], "doi": []}, {"id": "3d25b82943a49dc7ecbe2e35551bd614886deb31", "title": "Output Standard ResNet Output Invertible ResNet InputInput", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3d25/b82943a49dc7ecbe2e35551bd614886deb31.pdf"], "doi": []}, {"id": "57ac8ee66097274a5774ac33ef41e7855811cd57", "title": "Unsupervised Image Decomposition in Vector Layers.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.05484.pdf"], "doi": []}, {"id": "62931b3e0dce8748364e19c87ef318e22ec59c7f", "title": "Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03189.pdf"], "doi": []}, {"id": "7c9c5e5e66302a9296444a233b63683c21778561", "title": "LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07290.pdf"], "doi": []}, {"id": "33c7aef1f382f6167a950fd21e35b7c19a4ea14c", "title": "A Neuro-AI Interface: Learning DNNs from the Human Brain", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/33c7/aef1f382f6167a950fd21e35b7c19a4ea14c.pdf"], "doi": []}, {"id": "f34f14faa6f6144adb626fa8dee1286f0b734772", "title": "High-Fidelity Image Generation With Fewer Labels", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.02271.pdf"], "doi": []}, {"id": "8881f1b45ec6f0e1805627c828629cdd925bcfc6", "title": "Inspirational Adversarial Image Generation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11661.pdf"], "doi": []}, {"id": "bea263bafa31afadd9d6e150d9ac09251ffe56ee", "title": "Generating High-Resolution Fashion Model Images Wearing Custom Outfits", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.08847.pdf"], "doi": []}, {"id": "a7c531c4a38721516c6c4c155ee2234e0a3656a1", "title": "RAG: Facial Attribute Editing by Learning Residual Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8746217"]}, {"id": "41debc11e322ab83ca6ae2046781baad8b6361e8", "title": "A Large-Scale Study on Regularization and Normalization in GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04720.pdf"], "doi": []}, {"id": "4c94ee7df6bc2bfcac76703be4f059a79010f7e5", "title": "Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06162.pdf"], "doi": []}, {"id": "ee1d22f56361547e0f357b9ecc02f6cb31416f72", "title": "Style Transfer Applied to Face Liveness Detection with User-Centered Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07270.pdf"], "doi": []}, {"id": "7b35e14eb91fd99eda507552945975e6dbcf2952", "title": "Evaluating the distribution learning capabilities of GANs", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02662.pdf"], "doi": []}, {"id": "b84e90c9d16a1cc1ba6153f351b08611d1077d30", "title": "Controlled Modification of Generated (Style)GAN Latent Vectors", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6af8/6e7d68f18b61af4ed18deecaef9de2e0ff85.pdf"], "doi": []}, {"id": "a4d08b98dd22b87a2b3b6c4e44496f604d92950b", "title": "Measuring the Effectiveness of Voice Conversion on Speaker Identification and Automatic Speech Recognition Systems", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12531.pdf"], "doi": []}, {"id": "21c07304466328bafe0b493f9583641f5f745c48", "title": "Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.09877.pdf"], "doi": []}, {"id": "e953ebb0d4637044c90436de5b973d64b3f45dcc", "title": "A Survey of Image Information Hiding Algorithms Based on Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e953/ebb0d4637044c90436de5b973d64b3f45dcc.pdf"], "doi": []}, {"id": "eab5eaba0034a538394753edfa462a407102d1de", "title": "Texture Fields: Learning Texture Representations in Function Space", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07259.pdf"], "doi": []}, {"id": "345e908980cf79f310fd3c7f21069bf64e1744af", "title": "Inspirational adversarial image generation Exploring the latent space of GANs", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/345e/908980cf79f310fd3c7f21069bf64e1744af.pdf"], "doi": []}, {"id": "36f7cfd15ec92239e0cdd3a034702c29010d972c", "title": "Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10515.pdf"], "doi": []}, {"id": "ca42e4d7021d4e563bbeae7db35c1ce09fe38bfa", "title": "Classification Accuracy Score for Conditional Generative Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10887.pdf"], "doi": []}, {"id": "24262bd12149b0b8322e0691fa30ec1a4c06b9a8", "title": "Efficient Video Generation on Complex Datasets", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06571.pdf"], "doi": []}, {"id": "fd4e3d6cd3c9078c078178f885ae76db958340be", "title": "Synthetic Image Translation for Football Players Pose Estimation", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/58af/d93965e613bdc6e98136cccd81774af2a21c.pdf"], "doi": []}, {"id": "fe6b20332d37c50722aee0c6133df6c70826d27f", "title": "Spatially Controllable Image Synthesis with Internal Representation Collaging.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.10153.pdf"], "doi": []}, {"id": "806bb0d6688ce0d93fbe34112922060506acbf6c", "title": "Invertible Residual Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00995.pdf"], "doi": []}, {"id": "79fe166e4f6f659dbb440d73e0f07ad11265f48d", "title": "Deep learning advancements: closing the gap", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8757133"]}, {"id": "39ce89817e1909d33a107a9dcd4af6cb3b884842", "title": "Class-Distinct and Class-Mutual Image Generation with GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11163.pdf"], "doi": []}, {"id": "1e4ce741c9b5dd993826c34b492ffe9b250ea9fb", "title": "Attentive Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01259.pdf"], "doi": []}, {"id": "2bc5c29a3b7784113c63c91ed758c44a8c06ec0e", "title": "TileGAN: synthesis of large-scale non-homogeneous textures", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3322993"]}, {"id": "fcdcde3f796fc2c7d6bdeeb4f6b2281ec18be614", "title": "Hierarchical Autoregressive Image Models with Auxiliary Decoders", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04933.pdf"], "doi": []}, {"id": "74ee4fc4cbbd74553c80d8b378b0e809a372b184", "title": "A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11478.pdf"], "doi": []}, {"id": "dbf513d27e20f41f095cacb6b8ef7bc136ce7cd1", "title": "A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07262.pdf"], "doi": []}, {"id": "27c6155fe17144cb28e727ca33ce57479e919db7", "title": "Chinese flower-bird character generation based on pencil drawings or brush drawings", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/1.JEI.28.3.033029"]}, {"id": "3ffbca69a2bdd21e2585f096902bdd79c8a2630f", "title": "Collaborative GAN Sampling", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "59f5e8fcf7ca84c8c9eb29e0f627e972e69bf061", "title": "Collaborative Sampling in Generative Adversarial Networks.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "21371ba463bb1dcab7c92b1780b808ea440f1774", "title": "Adversarial Attack Type I: Cheat Classifiers by Significant Changes.", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1648/0bf3544412ab893a750348acef19c5a76d66.pdf"], "doi": []}, {"id": "cde35c87aaabbc617d38f9cfaa2721a2e166d750", "title": "Large Scale Adversarial Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02544.pdf"], "doi": []}, {"id": "8d36b4b1a1c0f538b9d4f79671ecfc8a196c5bb0", "title": "Positional Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.04312.pdf"], "doi": []}, {"id": "da66d5d96f7a9430249639c9391d80add15a8611", "title": "Conditional Neural Style Transfer with Peer-Regularized Feature Transform", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.02913.pdf"], "doi": []}, {"id": "7a56ab8785970885460cc3cc9092b5cd769d2a4f", "title": "Scaling up deep neural networks: a capacity allocation perspective", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04455.pdf"], "doi": []}, {"id": "3f4a0bb3f031cbe7b0043243116e779c1e75d493", "title": "FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04913.pdf"], "doi": []}, {"id": "deb956b70eb93bb08eaabc18fb11aed9bd20d08f", "title": "SRM : A Style-based Recalibration Module for Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10829.pdf"], "doi": []}, {"id": "fc684c97d18d8dbb27b45a669209071f6dd36988", "title": "MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03938.pdf"], "doi": []}, {"id": "bb0ba74be5248c3ec684e164b4c2cb92f04c1c0b", "title": "A Survey on Face Data Augmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11685.pdf"], "doi": []}, {"id": "7a8d6ffbbe2b0a5e7b98d8d5d22d1f74ff60f333", "title": "DualDis: Dual-Branch Disentangling with Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00804.pdf"], "doi": []}, {"id": "b735afafc3c71e4cdeb3a1cf4d9517c9cd319680", "title": "VQ VQ Encoder DecoderEncoder Decoder", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b735/afafc3c71e4cdeb3a1cf4d9517c9cd319680.pdf"], "doi": []}, {"id": "dffba9e340c0255e88a7119d5b79fae8c6287984", "title": "Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.09288.pdf"], "doi": []}, {"id": "ba492f8000f9a156c79ebf284afa2127d3c284ca", "title": "Semi-supervised Image Attribute Editing using Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01841.pdf"], "doi": []}, {"id": "bc06caa65e384c8fddcaf6aec668938b80ccf638", "title": "A Generative Adversarial Network for AI-Aided Chair Design", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695313"]}, {"id": "203895ef650c7f5ea9d6ce9645c5c61e45be7981", "title": "Malware classification using fusion of neural networks", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/12.2533344"]}, {"id": "6c056c17e15539b093403d1d7b8c851efe361898", "title": "The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.03776.pdf"], "doi": []}]}
\ No newline at end of file |