Results 101 to 110 of about 26,718 (222)

GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis

open access: yes, 2019
Histopathological cancer diagnosis is based on visual examination of stained tissue slides. Hematoxylin and eosin (H\&E) is a standard stain routinely employed worldwide.
Bozóky, Béla   +3 more
core  

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

open access: yesArchaeometry, EarlyView.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail   +3 more
wiley   +1 more source

Adversarial camouflage for mobile targets against battlefield optical and infrared AI detection

open access: yesJournal of King Saud University: Computer and Information Sciences
Modern battlefield perception systems, which rely on multi-modal target detection technologies such as optical and infrared sensing, pose a serious threat to the survivability of large mobile assets.
Shenghui Li, Bentian Hao
doaj   +1 more source

VividHairEdit: Disentangled Latent Control for High‐Fidelity Hairstyle Transfer via StyleGAN2 Inversion

open access: yesComputer Graphics Forum, EarlyView.
VividHairEdit is an advanced StyleGAN2 inversion system for high‐fidelity hair transfer and editing. Our system features improved structural integration, vibrant appearance representation, and optimized latent code selection, achieving superior generation quality and usability. A user‐friendly sketch interface enables precise modifications that reflect
Eunyeong Choi, Sihun Jin, Dongjoon Kim
wiley   +1 more source

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World

open access: yesJournal of Cybersecurity and Privacy
The traditional process for learning patch-based adversarial attacks, conducted in the digital domain and later applied in the physical domain (e.g., via printed stickers), may suffer reduced performance due to adversarial patches’ limited ...
Dudi Biton   +5 more
doaj   +1 more source

Efficient ConvNets for Analog Arrays

open access: yes, 2018
Analog arrays are a promising upcoming hardware technology with the potential to drastically speed up deep learning. Their main advantage is that they compute matrix-vector products in constant time, irrespective of the size of the matrix. However, early
Gokmen, Tayfun   +3 more
core  

MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild

open access: yesComputer Graphics Forum, EarlyView.
Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech   +4 more
wiley   +1 more source

Terrain Synthesis and Authoring based on Iso‐Contours

open access: yesComputer Graphics Forum, EarlyView.
Abstract Digital terrains are central to realistic landscape depiction, yet authoring tools must balance perceptual realism with intuitive artistic control. We propose a compact vector‐based representation that models terrain as nested iso‐contours, inspired by geomorphology and cartography.
B. Huftier   +5 more
wiley   +1 more source

Authoring Terrestrial Planets with Diffusion Models

open access: yesComputer Graphics Forum, EarlyView.
Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg   +6 more
wiley   +1 more source

Robust Object Detection Under Adversarial Patch Attacks in Vision-Based Navigation

open access: yesAutomation
In vision-guided autonomous robots, object detectors play a crucial role in perceiving the environment for path planning and decision-making. However, adaptive adversarial patch attacks undermine the resilience of detector-based systems.
Haotian Gu   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy