Results 101 to 110 of about 5,835,263 (236)
A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen +2 more
wiley +1 more source
Abstract Correlation‐based rendering techniques continue to advance, and efficiently exploiting correlations between pixel estimates has become increasingly important. The deep combiner framework [BHHM20] allows us to fuse independent and correlated pixel estimates but focuses solely on spatial correlations.
W. Zhou, E. Hughes, T. Hachisuka
wiley +1 more source
Attention Based Optimization for 3D Shape Registration
Abstract Transformers are sequence‐to‐sequence architectures originally designed to handle structurally rigid and order‐sensitive data, such as text and images. At their core, they exploit the attention mechanism, which is permutation‐equivariant and relies on computing token‐to‐token relationships.
A. Riva, L. Olearo, S. Melzi
wiley +1 more source
Advances in 4D Representation: Geometry, Motion, and Interaction
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao +7 more
wiley +1 more source
From observation to understanding: A multi‐agent framework for smart microscopy
Abstract Smart microscopy represents a paradigm shift in biological imaging, moving from passive observation tools to active collaborators in scientific inquiry. Enabled by advances in automation, computational power, and artificial intelligence, these systems are now capable of adaptive decision‐making and real‐time experimental control.
P. S. Kesavan, Pontus Nordenfelt
wiley +1 more source
BSI-MVS: multi-view stereo network with bidirectional semantic information
The basic principle of multi-view stereo (MVS) is to perform 3D reconstruction by extracting depth information from multiple views. Most current SOTA MVS networks are based on Vision Transformer, which usually means expensive computational complexity. To
Ruiming Jia +3 more
doaj +1 more source
THz image recognition of moldy wheat based on multi-scale context and feature pyramid
Wheat is susceptible to mold growth due to storage conditions, which subsequently affects its quality; therefore, timely and rapid identification of moldy wheat is critically important.
Yuying Jiang +17 more
doaj +1 more source
Dense Feature Pyramid Deep Completion Network
Most current point cloud super-resolution reconstruction requires huge calculations and has low accuracy when facing large outdoor scenes; a Dense Feature Pyramid Network (DenseFPNet) is proposed for the feature-level fusion of images with low-resolution
Xiaoping Yang +3 more
core +1 more source
Chronic silencing of subsets of layer 5 projection neurons has distinct effects on the laminar distribution of PV interneurons and the perineuronal nets in the adult primary motor and somatosensory cortex. Abstract Neural networks are established throughout cortical development, which require the right ratios of glutamatergic and GABAergic neurons ...
Florina P. Szabó +4 more
wiley +1 more source
Abstract Repurposing management for the public good involves realizing alternative ideas to serve societal interests. Humanistic management is centred on such ideas as human dignity and well‐being. Realization refers to the generation and maintenance of social realities corresponding to these ideas.
Oliver Laasch +4 more
wiley +1 more source

