Variational causal inference network for explanatory visual question answering
Abstract Explanatory Visual Question Answering (EVQA) is a recently proposed multimodal
reasoning task that requires answering visual questions and generating multimodal …
reasoning task that requires answering visual questions and generating multimodal …
A survey on cross-media search based on user intention understanding in social networks
With the increasing popularity of online social networks, more and more people are posting
information, updating their statuses, and searching for topics there. Massive cross-media big …
information, updating their statuses, and searching for topics there. Massive cross-media big …
Adversarial representation with intra-modal and inter-modal graph contrastive learning for multimodal emotion recognition
With the release of increasing open-source emotion recognition datasets on social media
platforms and the rapid development of computing resources, multimodal emotion …
platforms and the rapid development of computing resources, multimodal emotion …
Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations
With the rapid development of social media and human–computer interaction, multimodal
emotion recognition in conversations (MERC) tasks have begun to receive widespread …
emotion recognition in conversations (MERC) tasks have begun to receive widespread …
Open-world social event classification
With the rapid development of Internet and the expanding scale of social media, social event
classification has attracted increasing attention. The key to social event classification is …
classification has attracted increasing attention. The key to social event classification is …
EduCross: Dual adversarial bipartite hypergraph learning for cross-modal retrieval in multimodal educational slides
In the digital education landscape, cross-modal retrieval (CMR) from multimodal educational
slides represents a significant challenge, particularly because of the complex nature of …
slides represents a significant challenge, particularly because of the complex nature of …
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
This paper studies the problem of semi-supervised 2D-3D retrieval which aims to align both
labeled and unlabeled 2D and 3D data into the same embedding space. The problem is …
labeled and unlabeled 2D and 3D data into the same embedding space. The problem is …
Multi-level Contrastive Learning: Hierarchical Alleviation of Heterogeneity in Multimodal Sentiment Analysis
Recently, multimodal fusion efforts have achieved remarkable success in Multimodal
Sentiment Analysis (MSA). However, most of the existing methods are based on model-level …
Sentiment Analysis (MSA). However, most of the existing methods are based on model-level …
Deep supervised multi-view learning with graph priors
This paper presents a novel method for supervised multi-view representation learning,
which projects multiple views into a latent common space while preserving the …
which projects multiple views into a latent common space while preserving the …
Graph-guided deep hashing networks for similar patient retrieval
Y Gu, X Yang, M Sun, C Wang, H Yang, C Yang… - Computers in Biology …, 2024 - Elsevier
With the rapid growth and widespread application of electronic health records (EHRs),
similar patient retrieval has become an important task for downstream clinical decision …
similar patient retrieval has become an important task for downstream clinical decision …