ResearchTrend.AI
Motif Mining: Finding and Summarizing Remixed Image Content

Motif Mining: Finding and Summarizing Remixed Image Content

William Theisen
Daniel Gonzalez
Zachariah Carmichael
Daniel Moreira
Tim Weninger
Walter J. Scheirer
ArXivPDFHTML

Papers citing "Motif Mining: Finding and Summarizing Remixed Image Content"

4 / 4 papers shown
Title
Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity
Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity
Tygo Bloem
Filip Ilievski
21
0
0
30 Apr 2025
N-Modal Contrastive Losses with Applications to Social Media Data in Trimodal Space
N-Modal Contrastive Losses with Applications to Social Media Data in Trimodal Space
William Theisen
Walter J. Scheirer
34
1
0
18 Mar 2024
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification
Preeti Meena
Himanshu Kumar
Sandeep Yadav
3DH
40
2
0
19 Jan 2024
C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap
C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap
William Theisen
Walter J. Scheirer
CLIP
VLM
47
2
0
06 Sep 2023