Author of the publication

Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling.

, , and . CoRR, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

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)Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks., , , , , , , , , and 1 other author(s). CoRR, (2021)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)Generalizing semi-supervised generative adversarial networks to regression using feature contrasting., , and . Comput. Vis. Image Underst., (2019)Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling., , and . CoRR, (2019)Mobile Crowd Assisted Navigation for the Visually Impaired., , , , and . UIC/ATC/ScalCom, page 324-327. 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)