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 …
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
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 …
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
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 …
that evoke people's emotions (ie, emotional stimuli) in artworks. This task offers new …
Retrieving Emotional Stimuli in Artworks
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 …
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 …
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 …
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 …
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 …
mobile devices, this paper proposes an eye-tracking method based on face features and …