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Augmented FCN: rethinking context modeling for semantic segmentation
The effectiveness of modeling contextual information has been empirically shown in numerous computer vision tasks. In this paper, we propose a simple...
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A Framework for Analyzing Modeling Languages for Context-Aware Systems
Context-aware systems keep on emerging in all of our daily activities. Context, which can be a location, a user, an actual activity, or physical...
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Lgvc: language-guided visual context modeling for 3D visual grounding
3D visual grounding is crucial for understanding cross-modal scenes, linking visual objects to their corresponding language descriptions. Traditional...
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Context-aware modeling for knowledge-intensive medicinal product development processes
Due to their unique characteristics, knowledge-intensive processes (KiPs) are difficult to capture with conventional modeling and management...
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Non-dominated differential context modeling for context-aware recommendations
Context plays an important role in the process of decision making. A user’s preferences on the items may vary from contexts to contexts, e.g., a user...
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Multi-camera person re-identification using spatiotemporal context modeling
Person re-identification (ReID) aims at identifying a person of interest (POI) across multiple non-overlap** cameras. The POI can be either in an...
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From Context Modeling to Implementation for Group Activity
Our research was initially led for modeling context when the focus is addressed by a unique actor. This section presents the natural extension that...
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SiamDAG: Siamese dynamic receptive field and global context modeling network for visual tracking
Trackers based on anchor-free strategy have achieved a great success in recent years. However, they have limitations. To be specific, receptive...
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Multi-level context-driven interaction modeling for human future trajectory prediction
Human trajectory prediction is a challenging task with important applications such as intelligent surveillance and autonomous driving. We recognize...
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From Context Modeling to Implementation for Individuals
This chapter presents the main points of an effective pragmatic approach on context for the modeling of context for its use by an actor in real-world...
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Spatio-Temporal Context Modeling for Road Obstacle Detection
Road obstacle detection is an important problem for vehicle driving safety. In this paper, we aim to obtain robust road obstacle detection based on...
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Frame-level global context modeling for detection and localization of abnormality
Abnormality detection helps human beings by reducing the amount of data to be processed manually. However, detection and localization of contextual...
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Document-Level Neural Machine Translation with Hierarchical Modeling of Global Context
Document-level machine translation (MT) remains challenging due to its difficulty in efficiently using document-level global context for translation....
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Modeling multi-scale sub-group context for group activity recognition
Group activity recognition is a challenging task for complex motion and relation between actors. To utilize similar action of actors, this paper...
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Measuring and modeling context-dependent preferences for hearing aid settings
Despite having individual perceptual preferences toward sounds, hearing aid users often end up with default hearing aid settings that have no...
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Modeling Context for Data Quality Management
The importance of context for data quality (DQ) has been shown decades ago and is widely accepted. Early approaches and surveys defined DQ as fitness...
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An Ontology for Context Modeling in Smart Spaces
Smart environments are one of the hot topics in the recent scientific literature in computer science. An essential aspect of these applications is...
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Context
Understanding data as well as designing data structures makes sense only in a specific context.A distinction is made between a...
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Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm
Amharic is one of the most widely spoken and written languages in Ethiopia, establishing a growing presence in the digital realm. The language serves...
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Research on Modeling and Using Context Over 25 Years
This book is the outcome of 25 years of research on how to model and use context in real-world applications on a spectrum from technology-centered...