Search
Search Results
-
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...
-
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...
-
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...
-
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...
-
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...
-
Analyzing a Dark Web forum page in the context of terrorism: a topic modeling approach
Dark Web has turned into a platform for a variety of criminal activities, including weapon trafficking, pornography, fake documents, drug...
-
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...
-
Understanding fibrosis pathogenesis via modeling macrophage-fibroblast interplay in immune-metabolic context
Fibrosis is a progressive biological condition, leading to organ dysfunction in various clinical settings. Although fibroblasts and macrophages are...
-
Scene text recognition via context modeling for low-quality image in logistics industry
Text recognition has been applied in many fields recently, such as robot vision, video retrieval, and scene understanding. However, minimal research...
-
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...
-
Examining Student Testing and Debugging Within a Computational Systems Modeling Context
Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that...
-
Teacher Noticing of Students’ Thinking in the Context of Mathematical Modeling Activities Related to Statistics
In this study, we investigated mathematics teacher’s noticing of students’ thinking in the context of mathematical modeling activities (MEAs) related...
-
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...
-
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...
-
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...
-
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...
-
Multi-context genetic modeling of transcriptional regulation resolves novel disease loci
A majority of the variants identified in genome-wide association studies fall in non-coding regions of the genome, indicating their mechanism of...
-
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...
-
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....
-
Finding the context indigenous innovation in village enterprise knowledge structure: a topic modeling
Indigenous people have deep local knowledge of environmental sustainability and natural resource utilization, which are sources of innovations that...
