Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

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We propose a semantic shape editing method to edit 3D triangle meshes using parametric implicit surface templates, benefiting from the many advantages offered by analytical implicit representations, such as infinite resolution and boolean or blending opera ...

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In recent years, there has been a significant revolution in the field of deep learning, which has demonstrated its effectiveness in automatically capturing intricate patterns from large datasets. However, the majority of these successes in Computer Vision ...

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Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Chattez avec Graph Search

Semantic Shape Editing with Parametric Implicit Templates

Multimaterial Volumetric Printing of Silica-Based Glasses

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Topics in statistical physics of high-dimensional machine learning

3D diffractive optics for linear interconnects and nonlinear processing

Predicting the long-term collective behaviour of fish pairs with deep learning

Deep Learning for 3D Surface Modelling and Reconstruction

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Wearable electromyographic device and system and methods for motion decoding of body parts

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Projector-based augmented stacking framework for irregularly shaped objects

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Transfer learning application of self-supervised learning in ARPES

Diffusion of energy technologies: the role and dynamics of supply-side information networks

Machine learning-aided generative molecular design

Towards Robust Monitoring of the Laser Powder Bed Fusion Process based on Acoustic Emission combined with Machine Learning Solutions

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning