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ViS-HuD: Using Visual Saliency to Improve Human Detection With Convolutional Neural Networks.

V. Gajjar, Y. Khandhediya, A. Gurnani, V. Mavani, and M. Raval. CVPR Workshops, page 1908-1916. Computer Vision Foundation / IEEE Computer Society, (2018)

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VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks.A. Gurnani, V. Gajjar, V. Mavani, and Y. Khandhediya. CoRR, (2018)Using Visual Saliency to Improve Human Detection with Convolutional Networks.A. Gurnani, V. Gajjar, V. Mavani, and Y. Khandhediya. CoRR, (2018)Flower Categorization using Deep Convolutional Neural Networks.A. Gurnani, and V. Mavani. CoRR, (2017)A Novel Approach for Image Segmentation based on Histograms computed from Hue-data.V. Mavani, A. Gurnani, and J. Shah. CoRR, (2017)SAF-BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression.A. Gurnani, K. Shah, V. Gajjar, V. Mavani, and Y. Khandhediya. WACV, page 839-847. IEEE, (2019)ViS-HuD: Using Visual Saliency to Improve Human Detection With Convolutional Neural Networks.V. Gajjar, Y. Khandhediya, A. Gurnani, V. Mavani, and M. Raval. CVPR Workshops, page 1908-1916. Computer Vision Foundation / IEEE Computer Society, (2018)Facial Expression Recognition Using Visual Saliency and Deep Learning.V. Mavani, S. Raman, and K. Miyapuram. ICCV Workshops, page 2783-2788. IEEE Computer Society, (2017)

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ViS-HuD: Using Visual Saliency to Improve Human Detection With Convolutional Neural Networks.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ViS-HuD: Using Visual Saliency to Improve Human Detection With Convolutional Neural Networks.

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ViS-HuD: Using Visual Saliency to Improve Human Detection With Convolutional Neural Networks.