As a structured prediction task, scene graph generation, given an input
...
Automated visual localisation of subcellular proteins can accelerate our...
Scene graph generation is a structured prediction task aiming to explici...
Recent work showed that hybrid networks, which combine predefined and le...
As a structured prediction task, scene graph generation aims to build a
...
Scene graph generation aims to interpret an input image by explicitly
mo...
Recent works have investigated deep learning models trained by optimisin...
The process of aggregation is ubiquitous in almost all deep nets models....
We propose a novel CNN architecture called ACTNET for robust instance im...
We propose a novel CNN architecture called ACTNET for robust instance im...
This paper addresses the problem of very large-scale image retrieval,
fo...
Delineation of the kidney region in dynamic contrast-enhanced magnetic
r...
Quantification of kidney function in Dynamic Contrast-Enhanced Magnetic
...
Visual semantic information comprises two important parts: the meaning o...
This work addresses the problem of accurate semantic labelling of short
...
We investigate factors controlling DNN diversity in the context of the G...
This paper addresses the problem of large scale image retrieval, with th...