3D garment reconstruction is the digital creation of 3D garment models, essential for virtual try-on and digital content creation. Existing 3D garment reconstruction methods often adopt volumetric representations or apply uniform sampling to Gaussian‑splat primitives. These choices under‑sample high‑curvature regions,...
Abstract Reliable condition monitoring in cyber-physical systems requires computational intelligence models that recover normal operating semantics from multivariate measurements that are noisy, non-stationary, and semantically sparse. This paper studies the mining of latent semantic correlations among variables from p...
Jing Zhang, Tong Zhang, Xinquan Ma et al.· International Journal of Com...· 0 citations
With the advancement of online media, the demand for real-time interaction with streaming video has rapidly increased, highlighting the importance of Streaming Video Moment Retrieval (SVMR). This task aims to evaluate the relevance between streaming video and textual queries in real-time. Unlike offline videos, streami...
Yanhua Yang, Jiahua Li, Zhe Xu et al.· ACM Transactions on Multimed...· 0 citations
Résumé FRCe document, produit avec l’assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) et entre de ce fait dans l’état de la technique au sens des législations applicables : art. L 611-11 CPI (Code de la propriété intellectuelle fran...
Xavier Pillet· Zenodo (CERN European Organi...· 0 citations
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The widespread adoption of electric vehicles necessitates lithium-ion batteries capable of fast charging, yet this process inherently faces the risk of heat generation and lithium plating. Considering the common fast charging scenarios around room temperature and practical implementation feasibility, this study introdu...
Linjing Zhang, Minghan Zhou, Xiaoqian Su et al.· Applied Energy· 0 citations
UNIFIED MASTER TELEMETRY GLOSSARY & METRIC SPECIFICATION MyceliaLM Cognitive Architecture & MASSIF Latent Trajectory Framework Continuous SDE Kinematics, Closed-Loop Governors, Pressure Tensor Diagnostics, and Live Dashboard Telemetry Daniel Solis -- Principal Investigator, Dubito Inc. / Ergo Sum AGI Safety Systems Oct...
Daniel Solis· Zenodo (CERN European Organi...· 0 citations
(Quantum) Annihilation Field Universe Model: From Particle Emergence to Cumulative Redshift Abstract This paper proposes an annihilation field universe model. The annihilation field is the core concept of this paper—a fundamental field in vacuum that forms localized excitations under the boundary conditions of quantum...
weihui lu· Zenodo (CERN European Organi...· 0 citations
(量子)湮灭场宇宙模型:从粒子涌现到红移的累积效应解释 (Quantum)Annihilation Field Universe Model: From Particle Emergence to Cumulative Redshift This paper proposes an annihilation field universe model. The annihilation field is the core concept of this paper—a fundamental field in vacuum that forms localized excitations...
weihui lu· Zenodo (CERN European Organi...· 0 citations
This article addresses the problem of high-precision segmentation of objects in images and their contextually accurate restoration through inpainting. The authors propose a novel hybrid system based on the Segment Anything Model 2 (SAM-2) and a Latent Cross-Attention (LCA) diffusion mechanism. The SAM-2 model enables p...
Choriyev Ilxom, Ibragimova Mahfuza· Zenodo (CERN European Organi...· 0 citations
High-voltage switchgear is an indispensable core equipment in power distribution networks. Its interior is susceptible to corona discharge, which inevitably leads to substantial energy loss and degradation of equipment insulation performance. In this paper, experimental verification and simulation modeling methods were...
Daisheng Wei, Jiaxing Wang, Zhaolu Cheng et al.· Electric Power Systems Resea...· 0 citations
Accurate survival prediction for patients with high-grade glioma is important for prognostic assessment and personalized treatment planning; however, substantial intratumoral heterogeneity, complex multimodal MRI patterns, and limited interpretability challenge existing deep learning approaches. This study aims to deve...
Neeshu Chaudhary, Saurabh Shah, C. Thacker· Journal of Electronics Elect...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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