51 citations · 116 across the 15 of their papers we have counts for
5 papers · 1 filter
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval
Syed Sameed Husain, Eng-Jon Ong, Miroslaw Bober
We propose a novel CNN architecture called ACTNET for robust instance image retrieval from large-scale datasets. Our key innovation is a learnable activation layer designed to impr…
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…
Visual Semantic Information Pursuit: A Survey
Daqi Liu, Miroslaw Bober, Josef Kittler
Visual semantic information comprises two important parts: the meaning of each visual semantic unit and the coherent visual semantic relation conveyed by these visual semantic unit…