Dip: Dual incongruity perceiving network for sarcasm detection

C Wen, G Jia, J Yang - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing

Y Huang, L Li, P Chen, H Wu, W Lin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the Image Aesthetics Computing (IAC) field, most prior methods leveraged the off-the-
shelf backbones pre-trained on the large-scale ImageNet database. While these pre-trained …

Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation

T Chen, N Garcia, L Li, Y Nakashima - Journal of Imaging, 2024 - mdpi.com
We introduce an emotional stimuli detection task that targets extracting emotional regions
that evoke people's emotions (ie, emotional stimuli) in artworks. This task offers new …

Retrieving Emotional Stimuli in Artworks

T Chen, N Garcia, L Li, Y Nakashima - Proceedings of the 2024 …, 2024 - dl.acm.org
We introduce an emotional stimuli retrieval task that targets extracting emotional regions that
evoke people's emotions (ie, emotional stimuli) in artworks. This task offers new challenges …

Cooperative Sentiment Agents for Multimodal Sentiment Analysis

S Wang, H Shuai, Q Liu, F Wang - arxiv preprint arxiv:2404.12642, 2024 - arxiv.org
In this paper, we propose a new Multimodal Representation Learning (MRL) method for
Multimodal Sentiment Analysis (MSA), which facilitates the adaptive interaction between …

Fast saliency prediction based on multi-channels activation optimization

S Liang, R Liu, J Qian - Journal of Visual Communication and Image …, 2023 - Elsevier
The saliency prediction precision has improved rapidly with the development of deep
learning technology, but the inference speed is slow due to the continuous deepening of …

Capitalizing on Viewer Attention: Unraveling the Impact of Attention-Grabbing Stimuli in Visual Social Media Content

Y Li, F Liu, K Lim - 2024 - aisel.aisnet.org
This study investigates how social media influencers (SMIs) use visual stimuli to capture
viewer attention and enhance engagement. While the influence of SMIs' characteristics on …

A New Eye-tracking Method with Image Feature Based Model for Mobile Devices

S Cheng, Q **, T Liu - 2022 IEEE Smartworld, Ubiquitous …, 2022 - ieeexplore.ieee.org
In order to improve the computational efficiency and accuracy of eye-tracking methods for
mobile devices, this paper proposes an eye-tracking method based on face features and …