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20182021
most citedA Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction

29 citations · 50 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.CV20217 cited

Frequency Centric Defense Mechanisms against Adversarial Examples

Sanket B. Shah, Param Raval, Harin Khakhi +1

Adversarial example (AE) aims at fooling a Convolution Neural Network by introducing small perturbations in the input image.The proposed work uses the magnitude and phase of the Fo…

cs.CV2021

Person Retrieval in Surveillance Using Textual Query: A Review

Hiren Galiyawala, Mehul S Raval

Recent advancement of research in biometrics, computer vision, and natural language processing has discovered opportunities for person retrieval from surveillance videos using text…

cs.CV201914 cited

Visual Appearance Based Person Retrieval in Unconstrained Environment Videos

Hiren Galiyawala, Mehul S Raval, Shivansh Dave

Visual appearance-based person retrieval is a challenging problem in surveillance. It uses attributes like height, cloth color, cloth type and gender to describe a human. Such attr…

cs.CV2018

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…

cs.CV2018

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…