116 citations · 257 across the 14 of their papers we have counts for
14 papers
Network-Agnostic Knowledge Transfer for Medical Image Segmentation
Shuhang Wang, Vivek Kumar Singh, Alex Benjamin +5
Conventional transfer learning leverages weights of pre-trained networks, but mandates the need for similar neural architectures. Alternatively, knowledge distillation can transfer…
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors
Walid Bekhtaoui, Ruhan Sa, Brian Teixeira +4
Point cloud based methods have produced promising results in areas such as 3D object detection in autonomous driving. However, most of the recent point cloud work focuses on single…
Adaloss: Adaptive Loss Function for Landmark Localization
Brian Teixeira, Birgi Tamersoy, Vivek Singh +1
Landmark localization is a challenging problem in computer vision with a multitude of applications. Recent deep learning based methods have shown improved results by regressing lik…
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation
Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan +4
In this paper, we propose an efficient blood vessel segmentation method for the eye fundus images using adversarial learning with multiscale features and kernel factorization. In t…
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser +5
This paper proposes an efficient solution for tumor segmentation and classification in breast ultrasound (BUS) images. We propose to add an atrous convolution layer to the conditio…
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram +8
The determination of precise skin lesion boundaries in dermoscopic images using automated methods faces many challenges, most importantly, the presence of hair, inconspicuous lesio…