In recent years, there has been a significant focus on research related to text-guided image inpainting. However, the task remains challenging due to several constraints, such as ensuring alignment between the image and the text, and maintaining ...

Depression recognition based on physiological signals such as functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) has made considerable progress. However, most existing studies ignore the complementarity and semantic consistency ...

Speech-driven gesture generation aims at synthesizing a gesture sequence synchronized with the input speech signal. Previous methods leverage neural networks to directly map a compact audio representation to the gesture sequence, ignoring the semantic ...

Efficient code search techniques are crucial in accelerating software development by aiding developers in locating specific code snippets and understanding code functionalities. This study investigates code search methodologies, focusing on the emerging ...

Medical multi-modal retrieval aims to provide doctors with similar medical images from different modalities, which can greatly promote the efficiency and accuracy of clinical diagnosis. However, most existing medical retrieval methods hardly support the ...

Cloth-changing Person Re-Identification (CC-ReID) is a challenging task that aims to retrieve the target person across multiple surveillance cameras when clothing changes might happen. Despite recent progress in CC-ReID, existing approaches are still ...

Artificial creativity has attracted increasing research attention in the field of multimedia and artificial intelligence. Despite the promising work on poetry/painting/music generation, creating modern Chinese poetry from images, which can significantly ...

In the cross-domain image classification scenario, domain adaption aims to address the challenge of transferring the knowledge obtained from the source domain to the target domain that is regarded as similar but different from the source domain. To get ...

Cross-modal image-text retrieval has been a long-standing challenge in the multimedia community. Existing methods explore various complicated embedding spaces to assess the semantic similarity between a given image-text pair, but consider no/little ...

Abstractive text summarization is a highly difficult problem, and the sequence-to-sequence model has shown success in improving the performance on the task. However, the generated summaries are often inconsistent with the source content in semantics. In ...

Deep neural networks have performed well on various benchmark vision tasks with large-scale labeled training data; however, such training data is expensive and time-consuming to obtain. Due to domain shift or dataset bias, directly transferring models ...

Exact document interpretation is very important to semantic document exchange. An essential issue for document interpretation is to maintain semantic consistency of the exchanged documents between any two autonomous business communities, where the ...

Real-time collaborative programming environments support multiple programmers to concurrently edit shared source code documents at the same time over communication networks. One of the key challenges in supporting real-time collaborative programming is ...

In this paper, we propose a novel KMS by using semantic wiki framework based on a centralized Global Wiki Ontology (GWO). The main aim of this system is <em>i</em> ) to collect as many organizational resources as possible, and <em>ii</em> ) to maintain ...

Today's complex cyber-physical systems are being built increasingly using model-based development (MBD), where mathematical models for the system behavior are checked against design specifications using analysis tools. Different types of models and ...

After a brief survey of the different meanings of consistency, the study is restricted to consistency understood as non-contradiction of sets of sentences. The philosophical reasons for this requirement are discussed, both in relation to the problem of ...

Model transformations are touted to play a key role in model-driven software development. The mapping relations between different models are the foundation and basis for the transformation. A classification for different level mappings was proposed and ...

We study formally the consistency problem, for replicated shared data, in the Action-Constraint framework (ACF). ACF can describe a large range of application semantics and replication protocols, including optimistic and/or partial replication. ACF is ...

Data integration is key to knowledge discovery in the age of genomics and represents a major, long-standing challenge for the genome informatics community. Integration of data across heterogeneous genome databases requires the identification of common ...

Well designed graphical user interfaces offer a high potential to increase the productivity of human users. The necessary condition for such a good performance is that the user interface represents the semantics of the underlying application in a clear ...