16 citations · 39 across the 10 of their papers we have counts for
10 papers
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
Błażej Leporowski, Arian Bakhtiarnia, Nicole Bonnici +4
We introduce the first audio-visual dataset for traffic anomaly detection taken from real-world scenes, called MAVAD, with a diverse range of weather and illumination conditions. I…
KENGIC: KEyword-driven and N-Gram Graph based Image Captioning
Brandon Birmingham, Adrian Muscat
This paper presents a Keyword-driven and N-gram Graph based approach for Image Captioning (KENGIC). Most current state-of-the-art image caption generators are trained end-to-end on…
Face2Text revisited: Improved data set and baseline results
Marc Tanti, Shaun Abdilla, Adrian Muscat +3
Current image description generation models do not transfer well to the task of describing human faces. To encourage the development of more human-focused descriptions, we develope…
Automated segmentation of microtomography imaging of Egyptian mummies
Marc Tanti, Camille Berruyer, Paul Tafforeau +6
Propagation Phase Contrast Synchrotron Microtomography (PPC-SRCT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remai…
Predicting Relative Depth between Objects from Semantic Features
Stefan Cassar, Adrian Muscat, Dylan Seychell
Vision and language tasks such as Visual Relation Detection and Visual Question Answering benefit from semantic features that afford proper grounding of language. The 3D depth of o…
One vs Previous and Similar Classes Learning -- A Comparative Study
Daniel Cauchi, Adrian Muscat
When dealing with multi-class classification problems, it is common practice to build a model consisting of a series of binary classifiers using a learning paradigm which dictates…
VJAGG -- A Thick-Client Smart-Phone Journey Detection Algorithm
Michael P. J. Camilleri, Adrian Muscat, Victor Buttigieg +1
In this paper we describe , a battery-aware journey detection algorithm that executes on the mobile device. The algorithm can be embedded in the client app of th…
Optimising the Input Image to Improve Visual Relationship Detection
Noel Mizzi, Adrian Muscat
Visual Relationship Detection is defined as, given an image composed of a subject and an object, the correct relation is predicted. To improve the visual part of this difficult pro…
Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions
Albert Gatt, Marc Tanti, Adrian Muscat +6
The past few years have witnessed renewed interest in NLP tasks at the interface between vision and language. One intensively-studied problem is that of automatically generating te…
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Raffaella Bernardi, Ruket Cakici, Desmond Elliott +6
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language pr…