1
|
{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "paper": {"key": "flickr_faces", "name": "FFHQ", "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", "year": "2018", "addresses": []}, "citations": [{"id": "95aa0a6ec61319496b40735e89c9354ed07468aa", "title": "Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "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", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/db04/cf426357724df54519f8b8af1ca8b56dc38e.pdf"], "doi": []}, {"id": "24bae1dbad640d81306d106a380261eb7d6063fb", "title": "Unsupervised Object Segmentation by Redrawing", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13539.pdf"], "doi": []}, {"id": "2d395f7715692aefc8c5d3f264e2fb3bd405585f", "title": "Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04243.pdf"], "doi": []}, {"id": "a2bd2c4e24d374082a87198161798b26f19e0710", "title": "A PCA-like Autoencoder", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01277.pdf"], "doi": []}, {"id": "00960e0c95d398a1b10b6cfb0a17db073ef4a78a", "title": "Enriching Financial Datasets with Generative Adversarial Networks", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0096/0e0c95d398a1b10b6cfb0a17db073ef4a78a.pdf"], "doi": []}, {"id": "22f46c09d942e222dbe6a9da954e8cc0501bc569", "title": "READ: Recursive Autoencoders for Document Layout Generation", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.00302.pdf"], "doi": []}, {"id": "b9e5c79339f5be61d127b46c8e25cf4dd5d0c5b5", "title": "Multiple-Identity Image Attacks Against Face-based Identity Verification", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08507.pdf"], "doi": []}, {"id": "0d46406058396f66fca4a248b897956159dfabcb", "title": "PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.12320.pdf"], "doi": []}, {"id": "bf095a26a34757616b29215617a99af8dc634e52", "title": "Learning Object Representations by Mixing Scenes Master Thesis", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bf09/5a26a34757616b29215617a99af8dc634e52.pdf"], "doi": []}, {"id": "c002ceaeee6fb74bebbdc2012a877ba78f1fd4de", "title": "Emergence of Object Segmentation in Perturbed Generative Models", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12663.pdf"], "doi": []}, {"id": "9602d1b8c046eb5da6b7c97a2b0bcb18b66968b2", "title": "Artist Style Transfer Via Quadratic Potential", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11108.pdf"], "doi": []}, {"id": "e312226d64c86662eadf182e9e5f909b5f01ef60", "title": "LIA: Latently Invertible Autoencoder with Adversarial Learning", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08090.pdf"], "doi": []}, {"id": "aaaaa07ca70c86c0e84567f52128486d1f3df75f", "title": "MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis", "addresses": [{"name": "Pune, India", "source_name": "Pune, India", "street_adddress": "Pune, Maharashtra, India", "lat": "18.52043030", "lng": "73.85674370", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06048.pdf"], "doi": []}, {"id": "e0a3737381fe393f6d761ddba16c795b31bcdad2", "title": "High Fidelity Face Manipulation with Extreme Pose and Expression", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12003.pdf"], "doi": []}, {"id": "5b2b9b9ee2ad444a23b8d9f27e4f929d9094dc42", "title": "Style Generator Inversion for Image Enhancement and Animation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11880.pdf"], "doi": []}, {"id": "5770d15f72758a8489aa3d70ea6e3c03aff806e6", "title": "Channel Decomposition on Generative Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04694.pdf"], "doi": []}, {"id": "6acc86a3434b10fad8e9818d89c70b9826809d74", "title": "Learning Feature Extraction for Transfer from Simulation to Reality", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6acc/86a3434b10fad8e9818d89c70b9826809d74.pdf"], "doi": []}, {"id": "135dc574a3f879f853f47c48a1d6a66ca71c32b7", "title": "Disentangling Style and Content in Anime Illustrations", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10742.pdf"], "doi": []}, {"id": "fef7b26828d4e76bb7ce103eea073b0fcf946f96", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/fef7/b26828d4e76bb7ce103eea073b0fcf946f96.pdf"], "doi": []}, {"id": "57f8c9813a76842939a71ad57cf5182885131f07", "title": "Smart, Deep Copy-Paste", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06763.pdf"], "doi": []}, {"id": "c2ce9df9888a167612684b60bd7f3d7407bb2a73", "title": "Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12660.pdf"], "doi": []}, {"id": "82436a079ef268e841a70c1d2cd1fa1a135b2521", "title": "Task-Aware Deep Sampling for Feature Generation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.04854.pdf"], "doi": []}, {"id": "9f1766ed74777e4cb5bdc5a0bf0014165511e0ba", "title": "Curriculum Learning for Deep Generative Models with Clustering", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "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", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09856.pdf"], "doi": []}, {"id": "f89b9883136e764570393c56af326c4dc87b45f1", "title": "Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06145.pdf"], "doi": []}, {"id": "8ccb88958358ea59bdc9b76f660b01c8f631b2c0", "title": "HoloGAN: Unsupervised learning of 3D representations from natural images", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01326.pdf"], "doi": []}, {"id": "a2e7834bb1ae12ca0d4c9396f411fd0e3cf2b723", "title": "Seeing What a GAN Cannot Generate", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fd32/26bcdfa7c7f25e2e4b25674c33f93a08fbdc.pdf"], "doi": []}, {"id": "1e10a58cd3d3974d083ec5aa323e5d10c43fc061", "title": "Image Generation from Small Datasets via Batch Statistics Adaptation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01774.pdf"], "doi": []}, {"id": "1428ab147371751bc3966c938825ef23e7fa80ee", "title": "The Art of Food: Meal Image Synthesis from Ingredients", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13149.pdf"], "doi": []}, {"id": "a0e8f4348968195c80494b7a4245edb91a252c93", "title": "Deep Generative and Discriminative Embeddings for Novelty Detection", "addresses": [{"name": "Johns Hopkins University Applied Physics Laboratory", "source_name": "The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA", "street_adddress": "11100 Johns Hopkins Rd, Laurel, MD 20723, USA", "lat": "39.16309960", "lng": "-76.89942800", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0e8/f4348968195c80494b7a4245edb91a252c93.pdf"], "doi": []}, {"id": "655979e9e79f5eaf30550cb20ba5f00c15447da7", "title": "FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05729.pdf"], "doi": []}, {"id": "19804c87ebb4ff861516a2a18591fd56afa41499", "title": "From Mondrian to Modular Synth : Rendering NIME using Generative Adversarial Networks", "addresses": [{"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1980/4c87ebb4ff861516a2a18591fd56afa41499.pdf"], "doi": []}, {"id": "30d265c4dec1276579942b42fb6c46a5ff490e7f", "title": "Meta-Sim: Learning to Generate Synthetic Datasets", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11621.pdf"], "doi": []}, {"id": "5f9739c0f49e1a60a93969471243ace818bf5aa7", "title": "Theses 5-2019 Structure Preserving regularizer for Neural Style Transfer", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5f97/39c0f49e1a60a93969471243ace818bf5aa7.pdf"], "doi": []}, {"id": "68ee70c87cc036e0935e2ceef02263018acaf1a2", "title": "On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01219.pdf"], "doi": []}, {"id": "75187014e7efd823eecfa833217ebb3ea7187107", "title": "Bridging Dialogue Generation and Facial Expression Synthesis", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.11240.pdf"], "doi": []}, {"id": "8149b95065d424feaaa13248a4b3d046c4bcf5eb", "title": "Semantic photo manipulation with a generative image prior", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3323023"]}, {"id": "72e968a606ef656cd46dc2d875a8e70cc50508a9", "title": "There is no general AI: Why Turing machines cannot pass the Turing test", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.05833.pdf"], "doi": []}, {"id": "69685a820c1ab2351f9f3517717bb0e74be31e91", "title": "Compete-free G Discriminator D Real / Fake Real Images Mutual Information Maximization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6968/5a820c1ab2351f9f3517717bb0e74be31e91.pdf"], "doi": []}, {"id": "ecc7f561976b3725f788623d84436a2685dca204", "title": "Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01174.pdf"], "doi": []}, {"id": "b9c78b104b9d31e01cd852192a369c6dd6f4cbab", "title": "FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "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.", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12430.pdf"], "doi": []}, {"id": "40c7b8b84cc23c85c37598d6eaa8b21633770480", "title": "Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11960.pdf"], "doi": []}, {"id": "e351cdef6f21b64088646cb54a107998ca79360d", "title": "Label-Noise Robust Multi-Domain Image-to-Image Translation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02185.pdf"], "doi": []}, {"id": "c4da1d5ec5bab365e2f36aa874bc71660e6114b4", "title": "Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07882.pdf"], "doi": []}, {"id": "a81f1abc25596361a0583617b4da784f4b559e9c", "title": "AnonymousNet : Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a81f/1abc25596361a0583617b4da784f4b559e9c.pdf"], "doi": []}, {"id": "246a91b1737bdcc777efb7d85e37c51476886785", "title": "Detecting AI-Synthesized Speech Using Bispectral Analysis", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e3cd/431123b6cfb5fcef2143c5dee5809b1aec77.pdf"], "doi": []}, {"id": "7ec0ad0889172e8ca394bddae1f51dfe7d6f0cbc", "title": "Adversarial Learning for Improved Onsets and Frames Music Transcription", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08512.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3984845ee41dd4bbd3fe5c70521e4a1d2aa05f99", "title": "AnonymousNet: Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.12620.pdf"], "doi": []}, {"id": "11cc653ad48d27aeb8bf6dbdfedc8e618997914a", "title": "Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00794.pdf"], "doi": []}, {"id": "965359b3008ab50dd04e171551220ec0e7f83aba", "title": "Generative Modeling by Estimating Gradients of the Data Distribution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05600.pdf"], "doi": []}, {"id": "78bde1f48a57f31cdf64ae68012e1b23571d7c1c", "title": "Deep Music Analogy Via Latent Representation Disentanglement", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.03626.pdf"], "doi": []}, {"id": "fbdcd3ad1ac5bd1a13a49163e568d0d85b59b2c4", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fbdc/d3ad1ac5bd1a13a49163e568d0d85b59b2c4.pdf"], "doi": []}, {"id": "79bc6e1fe465aec49d7f0252f295c0ad9cdaf389", "title": "Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01871.pdf"], "doi": []}, {"id": "2e4d61d0f4ab8a0c254302882aa354eaf08b558e", "title": "Compositional Deep Learning", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.08292.pdf"], "doi": []}, {"id": "03e504fd71cdc80ebcc16798e951ece979eb7e0e", "title": "Image Synthesis From Reconfigurable Layout and Style", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07500.pdf"], "doi": []}, {"id": "00163b1287321eab6543c087f866f79f6c743ddb", "title": "ChromaGAN: An Adversarial Approach for Picture Colorization", "addresses": [{"name": "University Pompeu Fabra", "source_name": "Computational Imaging Lab, University Pompeu Fabra, Barcelona, Spain", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.09837.pdf"], "doi": []}, {"id": "995ce8f3d36ee6a2231e8026e85b5b1f98bd28c7", "title": "Exposing GAN-synthesized Faces Using Landmark Locations", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of the Chinese Academy of Sciences", "source_name": "The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China", "street_adddress": "Chengdu, Sichuan, China", "lat": "30.57281500", "lng": "104.06680100", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3335724"]}, {"id": "5a2ab612052ca0d28e67cd8789d56f4260d93a00", "title": "FADN: Features Attention with Deep Networks for Remote-Image Classification", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8735452"]}, {"id": "426ce52b0c4ac73e6226c532d4d8a2171f12e9fb", "title": "Emotion Reinforced Visual Storytelling", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325050"]}, {"id": "6b013d0027eb05b318bc08f716920b3d92582682", "title": "Attribute-Driven Spontaneous Motion in Unpaired Image Translation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology, Shenzhen", "source_name": "Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01452.pdf"], "doi": []}, {"id": "7fa4c76d55d5fd7007e4cbce46ad8c8cda111325", "title": "Latent Optimization for Non-adversarial Representation Disentanglement", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11796.pdf"], "doi": []}, {"id": "e40ac1763af1635393d7b556f750a7ad5c41abde", "title": "Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.09453.pdf"], "doi": []}, {"id": "1da3ffde612cbdfa861e9b530c3b795504682335", "title": "Detecting and Simulating Artifacts in GAN Fake Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06515.pdf"], "doi": []}, {"id": "c13ce6211c96ddaea9560254860e628c70da2ca5", "title": "Audio query-based music source separation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06593.pdf"], "doi": []}, {"id": "edbe883de858f2f8aff760b24626ee1e7eaeadaf", "title": "Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.03728.pdf"], "doi": []}, {"id": "ccaf15d4ad006171061508ca0a99c73814671501", "title": "SinGAN: Learning a Generative Model from a Single Natural Image", "addresses": [{"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01164.pdf"], "doi": []}, {"id": "c2d6cf8933e6c034bf2a81b0a061115bcb1d9b9a", "title": "Adversarial Self-Defense for Cycle-Consistent GANs", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01517.pdf"], "doi": []}, {"id": "833b441526ebfc8e5308d963ca7aafd630a8debc", "title": "Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects", "addresses": [{"name": "Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "Signal Processing Laboratory (LTS5), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05715.pdf"], "doi": []}, {"id": "d8d89a0a1eca983512247af701a9e5596c903a16", "title": "Interpreting the Latent Space of GANs for Semantic Face Editing", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.10786.pdf"], "doi": []}, {"id": "5e088e188bd67f902ac28aef98dc433fc334ecb8", "title": "PolyGAN: High-Order Polynomial Generators", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06571.pdf"], "doi": []}, {"id": "9fac2ad81a561398506ce566d897f7169583b4f8", "title": "On the \"steerability\" of generative adversarial networks", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "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", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00999.pdf"], "doi": []}, {"id": "b72dc85606e84b020629a25a653f34b612eb02bc", "title": "Class-conditioned Outline-to-Image Translation Interactive Sketch & Fill", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b72d/c85606e84b020629a25a653f34b612eb02bc.pdf"], "doi": []}, {"id": "0638f57d119cd610de8202b67398cfe47eb9fb6c", "title": "Biphasic Learning of GANs for High-Resolution Image-to-Image Translation", "addresses": [{"name": "Baidu, Inc.", "source_name": "Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06624.pdf"], "doi": []}, {"id": "dbdeac01daf69c3725032c42be04f42c17ea439d", "title": "HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "b3fb0ac4a658a176dea67c825b9867cfe4024a3d", "title": "ProtoGANist: Protocol Reverse Engineering using Generative Adversarial Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b3fb/0ac4a658a176dea67c825b9867cfe4024a3d.pdf"], "doi": []}, {"id": "d7f5f03469cf133487c684c689710c0e1ed039ce", "title": "One-shot Face Reenactment", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.03251.pdf"], "doi": []}, {"id": "22c46ac094c399f4a92c922a5537c93a5d03f61a", "title": "TunaGAN: Interpretable GAN for Smart Editing", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06163.pdf"], "doi": []}, {"id": "3e248a4d381f04cba0536e53fc99dd2adcc87bc6", "title": "Copy-paste network Network input Residuals + Blending Result", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e24/8a4d381f04cba0536e53fc99dd2adcc87bc6.pdf"], "doi": []}, {"id": "140b0b296017750309331f22e1c569aaa86f8ba5", "title": "Improved Generalisation Bounds for Deep Learning Through L\u221e Covering Numbers", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/140b/0b296017750309331f22e1c569aaa86f8ba5.pdf"], "doi": []}, {"id": "7a8d6ffbbe2b0a5e7b98d8d5d22d1f74ff60f333", "title": "DualDis: Dual-Branch Disentangling with Adversarial Learning", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00804.pdf"], "doi": []}, {"id": "352120e91c09a4fba38aba38a554b4d36f2ec74f", "title": "O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.01931.pdf"], "doi": []}, {"id": "2c1ccf7b7d201fa53e555aa714b743144c059348", "title": "Learning to Generate Textures on 3D Meshes", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/2c1c/cf7b7d201fa53e555aa714b743144c059348.pdf"], "doi": []}, {"id": "60e69aca48ed8754c6cdd38a2a5be9575441c715", "title": "Dimensionality Reduction Flows", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01686.pdf"], "doi": []}, {"id": "d57622db429112152ee726bbee80ddd567c342bc", "title": "Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.05840.pdf"], "doi": []}, {"id": "d383dd8ced85d7898d8b1546c514a34fb626ea16", "title": "Improved Precision and Recall Metric for Assessing Generative Models", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06991.pdf"], "doi": []}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "d6c40ae1110f665e1783440aa8fb560d72bec44f", "title": "CFSNet: Toward a Controllable Feature Space for Image Restoration", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.00634.pdf"], "doi": []}, {"id": "bfaf399acf487a57a0d19b78b9308292a3e13f1b", "title": "Design and Visualization of Guided GAN on MNIST dataset", "addresses": [{"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3338489"]}, {"id": "717d85bd48aca5d950a4da4bc63b647a57233075", "title": "HYPE: Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "acbeebdfd9dd3456628604eefcd53f50f974b132", "title": "Generative Adversarial Network in Medical Imaging: A Review", "addresses": [{"name": "University of Saskatchewan", "source_name": "University of Saskatchewan, Saskatoon, SK, Canada", "street_adddress": "Saskatoon, SK S7N, Canada", "lat": "52.13340030", "lng": "-106.63135820", "type": "edu", "country": "Canada"}], "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", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00709.pdf"], "doi": []}, {"id": "d3810f2c401874651afce74fb0a54b309491cc29", "title": "AutoGAN: Neural Architecture Search for Generative Adversarial Networks", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "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", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10489.pdf"], "doi": []}, {"id": "9656a10c9d4a35fd8d4ad994bc03fcd69231ff22", "title": "Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving", "addresses": [{"name": "Valeo Vision Systems, Ireland", "source_name": "Valeo Vision Systems, Ireland", "street_adddress": "IDA Business Park, Dunmore Rd, Galway, Ireland", "lat": "53.52190380", "lng": "-8.84273220", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03442.pdf"], "doi": []}]}
|