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Minimum Description Length Clustering to Measure Meaningful Image
  Complexity

Minimum Description Length Clustering to Measure Meaningful Image Complexity

26 June 2023
Louis Mahon
Thomas Lukasiewicz
ArXivPDFHTML

Papers citing "Minimum Description Length Clustering to Measure Meaningful Image Complexity"

6 / 6 papers shown
Title
Predicting Reaction Time to Comprehend Scenes with Foveated Scene Understanding Maps
Predicting Reaction Time to Comprehend Scenes with Foveated Scene Understanding Maps
Ziqi Wen
Jonathan Skaza
Shravan Murlidaran
William Y. Wang
Miguel P. Eckstein
19
0
0
19 May 2025
K*-Means: A Parameter-free Clustering Algorithm
K*-Means: A Parameter-free Clustering Algorithm
Louis Mahon
Mirella Lapata
4
0
0
17 May 2025
Parameter-free Video Segmentation for Vision and Language Understanding
Louis Mahon
Mirella Lapata
VLM
41
2
0
03 Mar 2025
Towards a Universal Method for Meaningful Signal Detection
Towards a Universal Method for Meaningful Signal Detection
Louis Mahon
48
3
0
28 Jul 2024
A Modular Approach for Multimodal Summarization of TV Shows
A Modular Approach for Multimodal Summarization of TV Shows
Louis Mahon
Mirella Lapata
29
10
0
06 Mar 2024
Simplicity in Complexity : Explaining Visual Complexity using Deep
  Segmentation Models
Simplicity in Complexity : Explaining Visual Complexity using Deep Segmentation Models
Kevin Shen
Surabhi S. Nath
Aenne A. Brielmann
Peter Dayan
36
0
0
05 Mar 2024
1