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Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks.

, , , and . CVPR Workshops, Computer Vision Foundation / IEEE, (2019)

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Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks., , , and . CVPR Workshops, Computer Vision Foundation / IEEE, (2019)Semi-supervised Regression with Generative Adversarial Networks Using Minimal Labeled Data.. City University of New York, USA, (2019)Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression., , and . WACV, page 1151-1159. IEEE Computer Society, (2018)Evaluating Crowd Sourced Navigation for the Visually Impaired in a Virtual Environment., , , and . IEEE MS, page 431-437. IEEE Computer Society, (2015)3D Hallway Modeling Using a Single Image., and . CVPR Workshops, page 158-164. IEEE Computer Society, (2014)Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling., , and . VISIGRAPP (5: VISAPP), page 185-195. SCITEPRESS, (2020)Mobile Crowd Assisted Navigation for the Visually Impaired., , , , and . UIC/ATC/ScalCom, page 324-327. IEEE Computer Society, (2015)Generalizing semi-supervised generative adversarial networks to regression using feature contrasting., , and . Comput. Vis. Image Underst., (2019)Generalizing semi-supervised generative adversarial networks to regression using feature contrasting, , and . (2018)cite arxiv:1811.11269.Pitch and Roll Camera Orientation from a Single 2D Image Using Convolutional Neural Networks., , and . CRV, page 261-268. IEEE Computer Society, (2017)