Anchor Flow Maps: Efficient Sampling and Approximation of the Entire Flow Map
Abstract Flow maps are a fundamental concept for the visualization and analysis of time‐dependent flows. A common approach is to apply sampling and reconstruction – which comes with a number of problems: flow maps are high‐dimensional functions with locally large gradients which makes approximations very challenging.
D. Stelter +3 more
wiley +1 more source
Compression of room impulse responses for compact storage and fast low-latency convolution. [PDF]
Jälmby M +2 more
europepmc +1 more source
Differentiable Randers‐Finsler Eikonal Solvers
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan +2 more
wiley +1 more source
Grammar error diagnosis using graph convolutional networks with knowledge graph integration. [PDF]
Zhang J, Ma Y.
europepmc +1 more source
The Story(line) So Far: A Survey on Storyline Visualization
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo +4 more
wiley +1 more source
Multimodal semantic learning for early fault diagnosis in warp knitting machines via masked fault modeling. [PDF]
Gao W, Shi H, Li D, Liu Y.
europepmc +1 more source
Phong‐Rodrigues Extrinsic Vector‐Field Processing
Abstract We introduce a new extrinsic discretization of tangent vector fields on triangle meshes that is continuous, with bounded derivatives that are continuous almost everywhere, supporting pointwise evaluation and integration of differential operators.
Hongyi Liu +4 more
wiley +1 more source
Accurate Identification of Key Groups of Microeukaryotes Using Multimodal Deep Learning: An Integrated Classification Model Combining Morphological and Molecular Data. [PDF]
Song Y +6 more
europepmc +1 more source
Circles of Confidence for Multi‐Label Geometry Completion
Abstract Inside–outside classification is widely used for geometry processing tasks such as surface reconstruction, geometry completion, and calculating signed distance fields. We introduce a new integral formulation of this problem, which assigns confidence scores that points are inside or outside, given incomplete boundary geometry.
Z. Wei +4 more
wiley +1 more source
LHR-YOLO: A SAR small-target ship detection method based on improved YOLO11. [PDF]
Zhou M, Han D, Shen X, Xu Y, Chen C.
europepmc +1 more source

