4 citations · 7 across the 4 of their papers we have counts for
4 papers
NAU-QMUL: Utilizing BERT and CLIP for Multi-modal AI-Generated Image Detection
Xiaoyu Guo, Arkaitz Zubiaga
With the aim of detecting AI-generated images and identifying the specific models responsible for their generation, we propose a multi-modal multi-task model. The model leverages p…
Cluster-based Deep Ensemble Learning for Emotion Classification in Internet Memes
Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga
Memes have gained popularity as a means to share visual ideas through the Internet and social media by mixing text, images and videos, often for humorous purposes. Research enablin…
NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis
Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga
This paper describes the participation of our NUAA-QMUL-AIIT team in the Memotion 3 shared task on meme emotion analysis. We propose a novel multi-modal fusion method, Squeeze-and-…
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis
Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga
This paper describes our contribution to SemEval 2020 Task 8: Memotion Analysis. Our system learns multi-modal embeddings from text and images in order to classify Internet memes b…