10 citations · 13 across the 3 of their papers we have counts for
4 papers · 1 filter
Person Retrieval in Surveillance Video using Height, Color and Gender
Hiren Galiyawala, Kenil Shah, Vandit Gajjar +1
A person is commonly described by attributes like height, build, cloth color, cloth type, and gender. Such attributes are known as soft biometrics. They bridge the semantic gap bet…
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks
Vandit Gajjar, Yash Khandhediya, Ayesha Gurnani +2
The paper presents a technique to improve human detection in still images using deep learning. Our novel method, ViS-HuD, computes visual saliency map from the image. Then the inpu…
2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks
Vandit Gajjar
In this paper, we tackle the classification of gender in facial images with deep learning. Our convolutional neural networks (CNN) use the VGG-16 architecture [1] and are pretraine…
SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression
Ayesha Gurnani, Kenil Shah, Vandit Gajjar +2
How can we improve the facial soft-biometric classification with help of the human visual system? This paper explores the use of saliency which is equivalent to the human visual sy…