51 citations · 100 across the 5 of their papers we have counts for
5 papers
REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval
Syed Sameed Husain, Miroslaw Bober
This paper addresses the problem of very large-scale image retrieval, focusing on improving its accuracy and robustness. We target enhanced robustness of search to factors such as…
Automatic Delineation of Kidney Region in DCE-MRI
Santosh Tirunagari, Norman Poh, Kevin Wells +3
Delineation of the kidney region in dynamic contrast-enhanced magnetic resonance Imaging (DCE-MRI) is required during post-acquisition analysis in order to quantify various aspects…
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Santosh Tirunagari, Norman Poh, Kevin Wells +3
Quantification of kidney function in Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) requires careful segmentation of the renal region of interest (ROI). Traditional…
Cultivating DNN Diversity for Large Scale Video Labelling
Mikel Bober-Irizar, Sameed Husain, Eng-Jon Ong +1
We investigate factors controlling DNN diversity in the context of the Google Cloud and YouTube-8M Video Understanding Challenge. While it is well-known that ensemble methods impro…
Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
Eng-Jon Ong, Sameed Husain, Miroslaw Bober
This paper addresses the problem of large scale image retrieval, with the aim of accurately ranking the similarity of a large number of images to a given query image. To achieve th…