research
∙
09/04/2023
Target-Guided Composed Image Retrieval
Composed image retrieval (CIR) is a new and flexible image retrieval par...
share
research
∙
08/08/2023
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation
Multi-modal recommendation systems, which integrate diverse types of inf...
research
∙
08/06/2023
StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning
Emotion distribution learning has gained increasing attention with the t...
research
∙
07/20/2023
General Debiasing for Multimodal Sentiment Analysis
Existing work on Multimodal Sentiment Analysis (MSA) utilizes multimodal...
research
∙
06/06/2023
Revisiting Conversation Discourse for Dialogue Disentanglement
Dialogue disentanglement aims to detach the chronologically ordered utte...
research
∙
05/17/2023
Dual Semantic Knowledge Composed Multimodal Dialog Systems
Textual response generation is an essential task for multimodal task-ori...
research
∙
03/15/2023
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
The last decade has witnessed the proliferation of micro-videos on vario...
research
∙
12/22/2022
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
The booming development and huge market of micro-videos bring new e-comm...
research
∙
12/20/2022
Causal Inference for Knowledge Graph based Recommendation
Knowledge Graph (KG), as a side-information, tends to be utilized to sup...
research
∙
09/27/2022
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Recommendation systems make predictions chiefly based on users' historic...
research
∙
07/21/2022
Semantic-aware Modular Capsule Routing for Visual Question Answering
Visual Question Answering (VQA) is fundamentally compositional in nature...
research
∙
02/25/2022
Joint Answering and Explanation for Visual Commonsense Reasoning
Visual Commonsense Reasoning (VCR), deemed as one challenging extension ...
research
∙
01/24/2022
Dual Preference Distribution Learning for Item Recommendation
Recommender systems can automatically recommend users items that they pr...
research
∙
07/12/2021
Contrastive Learning for Cold-Start Recommendation
Recommending cold-start items is a long-standing and fundamental challen...
research
∙
08/27/2019