29 citations · 52 across the 7 of their papers we have counts for
12 papers
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…
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…
Glioblastoma Multiforme Patient Survival Prediction
Snehal Rajput, Rupal Agravat, Mohendra Roy +1
Glioblastoma Multiforme is a very aggressive type of brain tumor. Due to spatial and temporal intra-tissue inhomogeneity, location and the extent of the cancer tissue, it is diffic…
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction
Rupal Agravat, Mehul S Raval
Glioma is the most deadly brain tumor with high mortality. Treatment planning by human experts depends on the proper diagnosis of physical symptoms along with Magnetic Resonance(MR…
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
Rupal Agravat, Mehul S Raval
Glioma, the malignant brain tumor, requires immediate treatment to improve the survival of patients. Gliomas heterogeneous nature makes the segmentation difficult, especially for s…
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction
Snehal Rajput, Mehul S Raval
Brain tumor segmentation intends to delineate tumor tissues from healthy brain tissues. The tumor tissues include necrosis, peritumoral edema, and active tumor. In contrast, health…
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…
Brain Tumor Segmentation and Survival Prediction
Rupal Agravat, Mehul S Raval
The paper demonstrates the use of the fully convolutional neural network for glioma segmentation on the BraTS 2019 dataset. Three-layers deep encoder-decoder architecture is used a…
Prediction of Overall Survival of Brain Tumor Patients
Rupal Agravat, Mehul S Raval
Automated brain tumor segmentation plays an important role in the diagnosis and prognosis of the patient. In addition, features from the tumorous brain help in predicting patients…
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…
Driver Friendly Headlight Controller for Driving in Developing Countries
Dhruv Gupta, Gunvantsinh Gohil, Mehul S. Raval
In developing countries, night driving is extremely unsafe mainly due to; 1). Poorly followed traffic rules and 2) bad road conditions. The number of accidents is increasing at a f…