Results 191 to 200 of about 1,282,583 (256)

Attention Based Optimization for 3D Shape Registration

open access: yesComputer Graphics Forum, EarlyView.
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

F3AMD: Fast FiLM‐Conditioned Fourier Autoregressive Motion Diffusion

open access: yesComputer Graphics Forum, EarlyView.
Abstract Recent advances in generative motion synthesis have enabled realtime autoregressive generation of diverse and realistic character animations conditioned on user inputs, as demonstrated by models such as the Conditional Autoregressive Motion Diffusion Model (CAMDM).
Calvin Z. Qiao   +5 more
wiley   +1 more source

Reassessing Heidegger on Van Gogh: Artistic Experience as Contextual Displacement

open access: yesEuropean Journal of Philosophy, EarlyView.
Abstract This article offers a novel account of Heidegger's long‐debated discussion of a painting of shoes by Van Gogh in ‘The Origin of the Work of Art’. I argue that the Van Gogh episode is best understood as a carefully staged textual enactment of Heidegger's conception of artistic experience, properly construed.
Andrea Vitangeli
wiley   +1 more source

Spectral Transforms as a Tool to Optimize Digital Phenotyping in Biological Images

open access: yesJournal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Modern livestock breeding has mastered genotyping. Genome‐wide association studies, genomic selection, and SNP arrays enable genetic merit prediction at lower cost. However, phenotyping remains the bottleneck, as manual measurement is slow, expensive, subjective, and unable to capture spatial or temporal trait organization. Digital phenotyping
Joseane Padilha   +2 more
wiley   +1 more source

Large Language Model‐Based Localization of Premature Ventricular Contraction Origins: A Retrospective Diagnostic Accuracy Study

open access: yesJournal of Cardiovascular Electrophysiology, EarlyView.
ABSTRACT Background Accurate localization of premature ventricular contraction (PVC) origin from 12‐lead electrocardiography (ECG) is important for procedural planning in catheter ablation. Although convolutional neural network (CNN)‐based models have shown promising diagnostic performance, they require task‐specific training and remain limited in ...
Kazuhisa Matsumoto   +12 more
wiley   +1 more source

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