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Cross-modal fusion aims to establish a consistent correspondence between arbitrary modalities. Due to the inherent differences between these modalities, accurately modeling their correspondence is a challenging task. Referring image segmentation (RIS) ...

Conversational Speech Synthesis (CSS) aims to produce speech appropriate for oral communication. However, the complexity of context dependency modeling poses significant challenges in the field of CSS, especially the mutual psychological influence ...

Next point-of-interest (POI) recommendation is a critical task in location-based social networks, yet remains challenging due to a high degree of variation and personalization exhibited in user movements. In this work, we explore the latent hierarchical ...

Recent research has highlighted the importance of mixed-initiative interactions in conversational search. To enable mixed-initiative interactions, information retrieval systems should be able to ask diverse questions, such as information-seeking, ...

To support applications of speech-driven interactive systems in various conversational scenarios, text-to-speech (TTS) synthesis needs to understand the conversational context and determine appropriate speaking styles in its synthesized speeches. These ...

Image-text matching is a vital yet challenging task in the field of multimedia analysis. Over the past decades, great efforts have been made to bridge the semantic gap between the visual and textual modalities. Despite the significance and value, most ...

In order to deal with the context dilution problem introduced in the lossless compression of M-ary sources, a lossless compression algorithm based on a context tree model is proposed. By making use of the principle that conditioning reduces entropy, the ...

Mixed dish is a food category that contains different dishes mixed in one plate, and is popular in Eastern and Southeast Asia. Recognizing individual dishes in a mixed dish image is important for health related applications, e.g. calculating the ...

Mobile proactive tourist recommender systems can support tourists by recommending the best choice depending on different contexts related to themselves and the environment. In this paper, we propose to utilize wearable sensors to gather health ...

To have automatic conversations between human and computer is regarded as one of the most hardcore problems in computer science. Conversational systems are of growing importance due to their promising potentials and commercial values as virtual ...

We tackle the novel problem of navigational voice queries posed against an entertainment system, where viewers interact with a voice-enabled remote controller to specify the TV program to watch. This is a difficult problem for several reasons: such ...

In the Internet of Things (IoT) paradigm, a context management system (CMS) should support the context life cycle including acquisition, modeling, reasoning and distribution of context information. The context modeling phase is responsible for the ...

Detecting and using bursty patterns to analyze text streams has been one of the fundamental approaches in many temporal text mining applications. So far, most existing studies have focused on developing methods to detect bursty features based purely on ...

Context awareness increasingly becomes an essential attribute for software systems. Mobile applications may benefit from context awareness since they incur to context changes during their execution. Accordingly, mobile applications can adapt their ...

Awareness about one's own cognitive state is a critical first step towards better physical, physiological, psychological, behavioral, and social health. When users are aware of their mental states - particularly those which might be detrimental to their ...

Current requirements elicitation techniques do not deal with an essential part of context awareness: comprehension of the relationships among the numerous contextual elements of a certain domain and how they can positively influence the user task. As a ...

University campuses are increasingly becoming places where different interactions take place including those related to instructional and learning tasks. Most of these interactions require gathering contextual information from the campus facilities, ...

We present a unified framework to track multiple people, as well localize, and label their activities, in complex long-duration video sequences. To do this, we focus on two aspects: 1) the influence of tracks on the activities performed by the ...

Modeling intensity of facial action units from spontaneously displayed facial expressions is challenging mainly because of high variability in subject-specific facial expressiveness, head-movements, illumination changes, etc. These factors make the target ...