Results 151 to 160 of about 7,929 (254)

Noisy Graph Patterns via Ordered Matrices

Computer Graphics Forum, EarlyView.
Abstract The high‐level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this structure is notoriously difficult for two reasons. (1) Finding important patterns, such as cliques and bicliques, is computationally hard.
J. Wulms, W. Meulemans, B. Speckmann
wiley   +1 more source

Lightweight Spatial-Frequency Collaborative Interaction Network for RGB-D Salient Object Detection. [PDF]

Sensors (Basel)
Lu Y, Cui Z.
europepmc   +1 more source

Designing Annotations in Visualization: Considerations from Visualization Practitioners and Educators

Computer Graphics Forum, EarlyView.
Abstract Annotation is a central mechanism in visualization design that enables people to communicate key insights. Prior research has provided essential accounts of the visual forms annotations take, but less attention has been paid to the decisions behind them.
Md Dilshadur Rahman, Devin Lange, Ghulam Jilani Quadri, Paul Rosen   +3 more
wiley   +1 more source

LG-RSD: local-global region self-distillation for robust SAR ship detection. [PDF]

Sci Rep
Jing Z, Yan Z.
europepmc   +1 more source

Uncertainty‐Aware Visual Analysis of Force Networks in 2D Granular Materials

Computer Graphics Forum, EarlyView.
Abstract Uncertainty in experimental measurements makes it challenging to determine which features are intrinsic to the phenomenon and which are most stable and reliable. Granular materials, such as sand, form a complex system in which the forces between individual particles influence the material's macroscopic behavior.
M. Evers, A. Naseer, T. G. Murthy, V. Natarajan, T. Bin Masood, D. Weiskopf, I. Hotz   +6 more
wiley   +1 more source

Understanding hoarding behaviours in the context of homelessness. [PDF]

Br J Clin Psychol
Zortea TC, Symington F, Churchard A, Salkovskis PM.   +3 more
europepmc   +1 more source

Quantitative Metrics for Edge Bundling of Network Visualizations

Computer Graphics Forum, EarlyView.
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger, J. Miller, A. Maftei, S. G. Kobourov   +3 more
wiley   +1 more source

CBAM-Enhanced CNN-LSTM with Improved DBSCAN for High-Precision Radar-Based Gesture Recognition. [PDF]

Sensors (Basel)
Yi S, Zhao Z, Wu T.
europepmc   +1 more source

The Truth, the Whole Truth, and Nothing but the Truth: Automatic Visualization Evaluation from Reconstruction Quality

Computer Graphics Forum, EarlyView.
Abstract Recent advances in AI enable the automatic generation of visualizations directly from textual prompts using agentic workflows. However, visualizations produced via one‐shot generative methods often suffer from insufficient quality, typically requiring a human in the loop to refine the outputs.
Roxana Bujack, Li‐Ta Lo, Ethan Stam, Ayan Biswas, David Rogers   +4 more
wiley   +1 more source

Infrared Small-Target Segmentation Framework Based on Morphological Attention and Energy Core Loss. [PDF]

J Imaging
Zhu B, Lv Q, Liu Y, Cao H, Tan Z.
europepmc   +1 more source