57 citations · 108 across the 26 of their papers we have counts for
6 papers · 2 filters
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images
Thong Vo, Naimul Khan
Domain Adaptation is a technique to address the lack of massive amounts of labeled data in unseen environments. Unsupervised domain adaptation is proposed to adapt a model to new m…
Interactive segmentation using U-Net with weight map and dynamic user interactions
Ragavie Pirabaharan, Naimul Khan
Interactive segmentation has recently attracted attention for specialized tasks where expert input is required to further enhance the segmentation performance. In this work, we pro…
Inertial Sensor Data To Image Encoding For Human Action Recognition
Zeeshan Ahmad, Naimul Khan
Convolutional Neural Networks (CNNs) are successful deep learning models in the field of computer vision. To get the maximum advantage of CNN model for Human Action Recognition (HA…
An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images
Rodina Bassiouny, Adel Mohamed, Karthi Umapathy +1
Over the last few decades, Lung Ultrasound (LUS) has been increasingly used to diagnose and monitor different lung diseases in neonates. It is a non invasive tool that allows a fas…
Motion Vector Extrapolation for Video Object Detection
Julian True, Naimul Khan
Despite the continued successes of computationally efficient deep neural network architectures for video object detection, performance continually arrives at the great trilemma of…
GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone
Shreya Goyal, Naimul Khan, Chiranjoy Chattopadhyay +1
Reconstructing an indoor scene and generating a layout/floor plan in 3D or 2D is a widely known problem. Quite a few algorithms have been proposed in the literature recently. Howev…