Search
Search Results
-
Deep learning-based importance map for content-aware media retargeting
We introduce a deep learning-driven framework for creating an adaptably applicable importance map (A2R-Map) that can be integrated with existing...
-
Map equation centrality: community-aware centrality based on the map equation
To measure node importance, network scientists employ centrality scores that typically take a microscopic or macroscopic perspective, relying on node...
-
Sparseness-Optimized Feature Importance
In this paper, we propose a model-agnostic post-hoc explanation procedure devoted to computing feature attribution. The proposed method, termed...
-
Robust object tracking based on power-law probability map and ridge regression
Traditional tracking algorithms based on correlation filtering usually use a filter based on Gaussian-like distribution to highlight the information...
-
4D-MAP: Multipath Adaptive Packet Scheduling for Live Streaming over QUIC
In recent years, live streaming has become a popular application, which uses TCP as its primary transport protocol. Quick UDP Internet Connections...
-
Social VR design features and experiential outcomes: narrative review and relationship map for dyadic agent conversations
The application of virtual reality to the study of conversation and social interaction is a relatively new field of study. While the affordances of...
-
Hand-drawn cadastral map parsing, stitching and assembly via jigsaw puzzles
We present a robust method for parsing the content of hand-drawn cadastral maps in order to obtain high-resolution, digitized assemblies of larger...
-
Image retrieval using underlying importance feature histogram
Deep features can exhibit superior retrieval performance than low-level features. However, low-level features (e.g. colour and orientation) can be...
-
SMST: A Saliency Map to Scanpath Transformer
Regarding the virtual reality (VR) environment, scanpath prediction is critical for saving rendering resources and guiding content design due to its...
-
MORE THAN ONE MILAN: Urban Interactive Experience: An Olfactory Map Project
In recent times, designers have started to acknowledge the importance of smell across diverse design domains. Within the context of Human-Computer...
-
IETD: a novel image encryption technique using Tinkerbell map and Duffing map for IoT applications
In many sensitive Internet-of-Things (IoT) based applications, sensor devices send information in the form of images. Chaos theory is the study of...
-
Multi-robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
A map is necessary for tasks such as path planning or localization, which are common to mobile robot navigation. However, a map may be unavailable if...
-
Map Evaluation
The purpose of map evaluation is to assess the overall quality of a map. Most often, this quality is quantified by scalar indicators allowing to...
-
A hybrid color image encryption method based on extended logistic map
The existence of images containing our personal data or strategic information of states in the develo** digital world is an indication that there...
-
Understanding Graph and Understanding Map and Their Potential Applications
Based on a previously proposed data structure, Understanding Tree, this paper introduces two data structures: Understanding Graph and Understanding...
-
Infrared and visible image fusion via gradientlet filter and salience-combined map
In this study, we innovatively propose salience-combined map and gradientlet filter for infrared and visible image fusion. It can enhance the...
-
Map Interpretation
Map interpretation encompasses several tools enhancing the map with additional information. Some allow to study the link between axes of the data and...
-
Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection
The external attention mechanism offers a promising approach to enhance image anomaly detection (Hayakawa et al., in: IMPROVE, pp. 100-–110, 2023)....
-
Automatic label assignment object detection mehtod on only one feature map
Most deep learning-based object detection methods are proposed based on multi-level feature environments. Although some researchers have tried to...
-
Content-based image retrieval through fusion of deep features extracted from segmented neutrosophic using depth map
The main challenge of content-based image retrieval systems is the difference between how images are described using algorithms and how humans...
