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09/04/2023
Target-Guided Composed Image Retrieval
Composed image retrieval (CIR) is a new and flexible image retrieval par...
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08/17/2023
Building Emotional Support Chatbots in the Era of LLMs
The integration of emotional support into various conversational scenari...
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08/14/2023
Temporal Sentence Grounding in Streaming Videos
This paper aims to tackle a novel task - Temporal Sentence Grounding in ...
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08/09/2023
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
In the text-to-image generation field, recent remarkable progress in Sta...
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08/06/2023
Semantic-Guided Feature Distillation for Multimodal Recommendation
Multimodal recommendation exploits the rich multimodal information assoc...
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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...
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07/27/2023
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration
Training an effective video action recognition model poses significant c...
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07/24/2023
Towards Generalizable Deepfake Detection by Primary Region Regularization
The existing deepfake detection methods have reached a bottleneck in gen...
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07/20/2023
General Debiasing for Multimodal Sentiment Analysis
Existing work on Multimodal Sentiment Analysis (MSA) utilizes multimodal...
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06/29/2023
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation
Multimodal Sarcasm Explanation (MuSE) is a new yet challenging task, whi...
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06/01/2023
DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection
Existing deepfake detection methods fail to generalize well to unseen or...
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05/17/2023
Dual Semantic Knowledge Composed Multimodal Dialog Systems
Textual response generation is an essential task for multimodal task-ori...
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05/17/2023
Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval
The composed image retrieval (CIR) task aims to retrieve the desired tar...
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05/05/2023
Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain
Existing data-to-text generation efforts mainly focus on generating a co...
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04/24/2023
ChatLLM Network: More brains, More intelligence
Dialogue-based language models mark a huge milestone in the field of art...
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04/03/2023
Rethinking Context Aggregation in Natural Image Matting
For natural image matting, context information plays a crucial role in e...
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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...
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03/14/2023
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening
Under the flourishing development in performance, current image-text ret...
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02/04/2023
Learning to Agree on Vision Attention for Visual Commonsense Reasoning
Visual Commonsense Reasoning (VCR) remains a significant yet challenging...
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12/22/2022
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
The booming development and huge market of micro-videos bring new e-comm...
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12/20/2022
Causal Inference for Knowledge Graph based Recommendation
Knowledge Graph (KG), as a side-information, tends to be utilized to sup...
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12/12/2022
Multimodal Matching-aware Co-attention Networks with Mutual Knowledge Distillation for Fake News Detection
Fake news often involves multimedia information such as text and image t...
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11/11/2022
A Survey of Knowledge-Enhanced Pre-trained Language Models
Pre-trained Language Models (PLMs) which are trained on large text corpu...
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09/27/2022
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Recommendation systems make predictions chiefly based on users' historic...
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09/12/2022
Deep Convolutional Pooling Transformer for Deepfake Detection
Recently, Deepfake has drawn considerable public attention due to securi...
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07/24/2022
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem
Several studies have recently pointed that existing Visual Question Answ...
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07/24/2022
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis
Existing studies on multimodal sentiment analysis heavily rely on textua...
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07/21/2022
Semantic-aware Modular Capsule Routing for Visual Question Answering
Visual Question Answering (VQA) is fundamentally compositional in nature...
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07/16/2022
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model
Text response generation for multimodal task-oriented dialog systems, wh...
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07/13/2022
Lipschitz Continuity Retained Binary Neural Network
Relying on the premise that the performance of a binary neural network c...
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06/30/2022
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA
Knowledge-based Visual Question Answering (VQA) expects models to rely o...
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04/29/2022
User-controllable Recommendation Against Filter Bubbles
Recommender systems usually face the issue of filter bubbles: overrecomm...
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03/28/2022
Image-text Retrieval: A Survey on Recent Research and Development
In the past few years, cross-modal image-text retrieval (ITR) has experi...
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03/18/2022
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
Scene Graph Generation, which generally follows a regular encoder-decode...
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03/10/2022
Disentangled Multimodal Representation Learning for Recommendation
Many multimodal recommender systems have been proposed to exploit the ri...
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03/04/2022
Voice-Face Homogeneity Tells Deepfake
Detecting forgery videos is highly desirable due to the abuse of deepfak...
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03/01/2022
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
Logical reasoning is of vital importance to natural language understandi...
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02/25/2022
On Modality Bias Recognition and Reduction
Making each modality in multi-modal data contribute is of vital importan...
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02/25/2022
Joint Answering and Explanation for Visual Commonsense Reasoning
Visual Commonsense Reasoning (VCR), deemed as one challenging extension ...
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01/30/2022
Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning
With the remarkable success of deep learning recently, efficient network...
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12/02/2021
Learning Robust Recommender from Noisy Implicit Feedback
The ubiquity of implicit feedback makes it indispensable for building re...
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10/31/2021
Hierarchical Deep Residual Reasoning for Temporal Moment Localization
Temporal Moment Localization (TML) in untrimmed videos is a challenging ...
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10/12/2021
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
This paper focuses on tackling the problem of temporal language localiza...
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08/29/2021
Lipschitz Continuity Guided Knowledge Distillation
Knowledge distillation has become one of the most important model compre...
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08/17/2021
When Product Search Meets Collaborative Filtering: A Hierarchical Heterogeneous Graph Neural Network Approach
Personalization lies at the core of boosting the product search system p...
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07/12/2021
Contrastive Learning for Cold-Start Recommendation
Recommending cold-start items is a long-standing and fundamental challen...
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06/08/2021
Review Polarity-wise Recommender
Utilizing review information to enhance recommendation, the de facto rev...
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05/10/2021
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training
Pre-trained Language Models (PLMs) have achieved great success on Machin...
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05/05/2021
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
A number of studies point out that current Visual Question Answering (VQ...
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04/17/2021
