Results 161 to 170 of about 18,850,036 (270)
Learning to recover weak signals: A two-stage graph-based framework for all-weather RGB-T object detection. [PDF]
Pei R, Ma P, Qian J, Yang H, Sun J.
europepmc +1 more source
High‐Gloss SVBRDF Capture Using Bounce Light
Abstract Reflectance capture aims at the visual reproduction of an object under varying illumination. Past works differ substantially in their experimental overhead, from single‐ or few‐image approaches, that employ significant (often learned) priors at the expense of biased reconstructions, to more accurate approaches that tend to be time‐consuming ...
Tomáš Iser +2 more
wiley +1 more source
MHF-Net: Multi-Modal Residual Fusion Object Detection Network Based on High-Frequency Gated Convolution. [PDF]
Chen B, Qian B.
europepmc +1 more source
Survey on differential estimators for 3d point clouds
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
MCF-YOLO: Consistency-Guided Cross-Modal Attention for Small-Object RGB-IR Detection. [PDF]
Yang X, Yang M, Xie X.
europepmc +1 more source
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton +5 more
wiley +1 more source
RAFusion: Integrating Residual Attention for Global Context-Aware 6D Pose Estimation. [PDF]
Zhao W, Lai Y, Zhang Q, An K, Zhang H.
europepmc +1 more source
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 +3 more
wiley +1 more source
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 +4 more
wiley +1 more source
Robust salient object detection based on triple attention-guided multi-resolution fusion and feature refinement. [PDF]
Wei G +6 more
europepmc +1 more source

