activity
20202024
most citedEfficient Deep Clustering of Human Activities and How to Improve Evaluation

3 citations · 3 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Detection-Fusion for Knowledge Graph Extraction from Videos

Taniya Das, Louis Mahon, Thomas Lukasiewicz

One of the challenging tasks in the field of video understanding is extracting semantic content from video inputs. Most existing systems use language models to describe videos in n…

cs.CV2023

Minimum Description Length Clustering to Measure Meaningful Image Complexity

Louis Mahon, Thomas Lukasiewicz

Existing image complexity metrics cannot distinguish meaningful content from noise. This means that white noise images, which contain no meaningful information, are judged as highl…

cs.LG2023

Correcting Flaws in Common Disentanglement Metrics

Louis Mahon, Lei Shah, Thomas Lukasiewicz

Recent years have seen growing interest in learning disentangled representations, in which distinct features, such as size or shape, are represented by distinct neurons. Quantifyin…

cs.LG2023

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Louis Mahon, Thomas Lukasiewicz

Online deep clustering refers to the joint use of a feature extraction network and a clustering model to assign cluster labels to each new data point or batch as it is processed. W…

cs.LG2022★ 3 cited

Efficient Deep Clustering of Human Activities and How to Improve Evaluation

Louis Mahon, Thomas Lukasiewicz

There has been much recent research on human activity re\-cog\-ni\-tion (HAR), due to the proliferation of wearable sensors in watches and phones, and the advances of deep learning…

cs.CL2022

The Proof is in the Pudding: Using Automated Theorem Proving to Generate Cooking Recipes

Louis Mahon, Carl Vogel

This paper presents FASTFOOD, a rule-based Natural Language Generation Program for cooking recipes. Recipes are generated by using an Automated Theorem Proving procedure to select…

cs.LG2021

Selective Pseudo-label Clustering

Louis Mahon, Thomas Lukasiewicz

Deep neural networks (DNNs) offer a means of addressing the challenging task of clustering high-dimensional data. DNNs can extract useful features, and so produce a lower dimension…

cs.CL2020

Knowledge Graph Extraction from Videos

Louis Mahon, Eleonora Giunchiglia, Bowen Li +1

Nearly all existing techniques for automated video annotation (or captioning) describe videos using natural language sentences. However, this has several shortcomings: (i) it is ve…