{"list":"other","total":57,"rows":[{"id":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1409.4842","title":"Going Deeper with Convolutions","created":"2014-09-17","cited_by_count":4241},{"id":"1411.7766","title":"Deep Learning Face Attributes in the Wild","created":"2014-11-28","cited_by_count":3693},{"id":"1606.00915","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","created":"2016-06-02","cited_by_count":3241},{"id":"1607.00133","title":"Deep Learning with Differential Privacy","created":"2016-07-01","cited_by_count":2728},{"id":"1804.02767","title":"YOLOv3: An Incremental Improvement","created":"2018-04-08","cited_by_count":2659},{"id":"1611.05431","title":"Aggregated Residual Transformations for Deep Neural Networks","created":"2016-11-16","cited_by_count":2546},{"id":"1904.05866","title":"Expressive Body Capture: 3D Hands, Face, and Body from a Single Image","created":"2019-04-11","cited_by_count":1612},{"id":"1610.05492","title":"Federated Learning: Strategies for Improving Communication Efficiency","created":"2016-10-18","cited_by_count":1475},{"id":"1511.04599","title":"DeepFool: a simple and accurate method to fool deep neural networks","created":"2015-11-14","cited_by_count":1318},{"id":"1711.09020","title":"StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation","created":"2017-11-24","cited_by_count":1039},{"id":"1801.09414","title":"CosFace: Large Margin Cosine Loss for Deep Face Recognition","created":"2018-01-29","cited_by_count":971},{"id":"1604.02808","title":"NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis","created":"2016-04-11","cited_by_count":686},{"id":"1801.07892","title":"Generative Image Inpainting with Contextual Attention","created":"2018-01-24","cited_by_count":580},{"id":"1905.04757","title":"NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding","created":"2019-05-12","cited_by_count":533},{"id":"1804.00792","title":"Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks","created":"2018-04-03","cited_by_count":519},{"id":"1712.09665","title":"Adversarial Patch","created":"2017-12-27","cited_by_count":517},{"id":"1908.03826","title":"DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better","created":"2019-08-10","cited_by_count":362},{"id":"2003.03808","title":"PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models","created":"2020-03-08","cited_by_count":358},{"id":"1609.08675","title":"YouTube-8M: A Large-Scale Video Classification Benchmark","created":"2016-09-27","cited_by_count":324},{"id":"1904.08653","title":"Fooling automated surveillance cameras: adversarial patches to attack person detection","created":"2019-04-18","cited_by_count":268},{"id":"2008.08535","title":"STAR: Sparse Trained Articulated Human Body Regressor","created":"2020-08-19","cited_by_count":194},{"id":"2004.01860","title":"Deblurring by Realistic Blurring","created":"2020-04-04","cited_by_count":188},{"id":"2108.06428","title":"FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration","created":"2021-08-13","cited_by_count":169},{"id":"1908.08705","title":"AdvHat: Real-world adversarial attack on ArcFace Face ID system","created":"2019-08-23","cited_by_count":163},{"id":"1607.07539","title":"Semantic Image Inpainting with Deep Generative Models","created":"2016-07-26","cited_by_count":157},{"id":"1910.14667","title":"Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors","created":"2019-10-31","cited_by_count":155},{"id":"2103.06871","title":"SMPLicit: Topology-aware Generative Model for Clothed People","created":"2021-03-11","cited_by_count":155},{"id":"1905.05897","title":"Transferable Clean-Label Poisoning Attacks on Deep Neural Nets","created":"2019-05-15","cited_by_count":131},{"id":"2001.06202","title":"FedVision: An Online Visual Object Detection Platform Powered by Federated Learning","created":"2020-01-17","cited_by_count":124},{"id":"1905.01639","title":"Deep Video Inpainting","created":"2019-05-05","cited_by_count":109},{"id":"1604.05383","title":"Learning Dense Correspondence via 3D-guided Cycle Consistency","created":"2016-04-18","cited_by_count":91},{"id":"1904.10247","title":"Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN","created":"2019-04-23","cited_by_count":87},{"id":"1809.01995","title":"Dense Pose Transfer","created":"2018-09-06","cited_by_count":83},{"id":"2008.08324","title":"FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration","created":"2020-08-19","cited_by_count":73},{"id":"1711.09001","title":"Natural and Effective Obfuscation by Head Inpainting","created":"2017-11-24","cited_by_count":60},{"id":"1908.11587","title":"Copy-and-Paste Networks for Deep Video Inpainting","created":"2019-08-30","cited_by_count":58},{"id":"1904.12620","title":"AnonymousNet: Natural Face De-Identification with Measurable Privacy","created":"2019-04-19","cited_by_count":50},{"id":"1911.08348","title":"Live Face De-Identification in Video","created":"2019-11-19","cited_by_count":48},{"id":"1810.08553","title":"Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data","created":"2018-10-19","cited_by_count":46},{"id":"1908.08718","title":"Onion-Peel Networks for Deep Video Completion","created":"2019-08-23","cited_by_count":46},{"id":"1609.00408","title":"Defeating Image Obfuscation with Deep Learning","created":"2016-09-01","cited_by_count":43},{"id":"1909.07957","title":"An Internal Learning Approach to Video Inpainting","created":"2019-09-17","cited_by_count":33},{"id":"1803.02188","title":"DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild","created":"2018-03-05","cited_by_count":32},{"id":"1607.08438","title":"Faceless Person Recognition; Privacy Implications in Social Media","created":"2016-07-28","cited_by_count":27},{"id":"1511.05904","title":"Dense Human Body Correspondences Using Convolutional Networks","created":"2015-11-18","cited_by_count":26},{"id":"1501.05703","title":"Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues","created":"2015-01-23","cited_by_count":20},{"id":"1502.00739","title":"Clothing Co-Parsing by Joint Image Segmentation and Labeling","created":"2015-02-03","cited_by_count":20},{"id":"1902.09085","title":"Privacy-Preserving Action Recognition using Coded Aperture Videos","created":"2019-02-25","cited_by_count":20},{"id":"2101.01060","title":"Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming","created":"2021-01-04","cited_by_count":17},{"id":"2012.00595","title":"DeFMO: Deblurring and Shape Recovery of Fast Moving Objects","created":"2020-12-01","cited_by_count":16},{"id":"1505.04143","title":"Dense Semantic Correspondence where Every Pixel is a Classifier","created":"2015-05-15","cited_by_count":15},{"id":"1704.02203","title":"Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption","created":"2017-04-07","cited_by_count":14},{"id":"1512.00327","title":"Technical Privacy Metrics: a Systematic Survey","created":"2015-12-01","cited_by_count":11},{"id":"2003.05328","title":"ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition","created":"2020-03-11","cited_by_count":4},{"id":"2003.07335","title":"G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences","created":"2020-03-16","cited_by_count":3}],"next_cursor":null}