Results 101 to 110 of about 40,713,079 (253)

Generating Multimodal Images with GAN: Integrating Text, Image, and Style [PDF]

In the field of computer vision, multimodal image generation has become a research hotspot, especially the task of integrating text, image, and style. In this study, we propose a multimodal image generation method based on Generative Adversarial Networks
Qi, Zhen, Tan, Chaoyi, Shih, Kowei, Zhang, Wenqing, Li, Xinshi, Xiang, Ao   +5 more
core   +1 more source

Text+ goes BiblioCon 2024

Bei der BiblioCon 2024, die unter dem Thema "offen.lokal.global." Anfang Juni in Hamburg veranstaltet wird, ist Text+ mit mehreren Beiträgen vertreten. Die BiblioCon (ehemals "Bibliothekartag") ist die zentrale Tagung des deutschen Bibliothekswesens, die
Text+ Blog-Redaktion
core   +1 more source

Robotic Assistants in the Operating Room: A Systematic Review of Vision‐Based Systems for Nonoperative Tasks

Advanced Robotics Research, EarlyView.
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo, Pietro Falco, Nicholas Raison, Christos Bergeles, Letizia Gionfrida   +4 more
wiley   +1 more source

VT-MFLV: Vision–Text Multimodal Feature Learning V Network for Medical Image Segmentation

Journal of Imaging
Currently, existing multimodal segmentation methods face limitations in effectively leveraging medical text to guide visual feature learning. They often suffer from insufficient multimodal fusion and inadequate accuracy in fine-grained lesion ...
Wenju Wang, Jiaqi Li, Zinuo Ye, Yuyang Cai, Zhen Wang, Renwei Zhang   +5 more
doaj   +1 more source

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

Multimodal Text Sets to Use Literature and Engage All Learners in the Science Classroom. [PDF]

Sci Scope (Wash D C), 2020
Lannin A, Juergensen R, Harper C, Abdelnaby H, van Garderen D, Folk W, Pinkston L, Palmer T.   +7 more
europepmc   +1 more source

Early Retinal UCHL1 Dysregulation Coupled With Synaptic Loss Reflects Alzheimer's Disease Severity

Advanced Science, EarlyView.
This study identifies synapse‐enriched deubiquitinase UCHL1 as an early Aβ‐responsive regulator of retinal synaptopathy in Alzheimer's disease. Retinal UCHL1 loss accompanies excitatory synapse degeneration, p75NTR activation, and neuroinflammation, and predicts Braak stage and cognitive decline. Aβ42 fibrils trigger synaptic and UCHL1 depletion before
Altan Rentsendorj, Jean‐Philippe Vit, Alexandre Hutton, Yosef Koronyo, Saba Shahin, Edward Robinson, Ernesto Barron, Anthony Rodriguez, Ousman Jallow, Julia Sheyn, Bhakta Prasad Gaire, Lalita Subedi, Miyah R. Davis, Barathan Gnanabharathi, Alexander V. Ljubimov, Stuart L. Graham, Vivek K. Gupta, Mehdi Mirzaei, Debra Hawes, Katlin Silm, Keith L. Black, Lon S. Schneider, Alfredo A. Sadun, Jesse G. Meyer, Dieu‐Trang Fuchs, Maya Koronyo‐Hamaoui   +25 more
wiley   +1 more source

Multimodal Event Classification for Social Media Based on Text-Image-Caption Assisted Alignment

IEEE Access
The vast amount and diverse forms of information (such as text, images, etc.) provide people with rich data. How to effectively obtain and utilize multimodal data has gradually become a research hotspot in the field of artificial intelligence.
Yuanting Wang
doaj   +1 more source

TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis [PDF]

Multimodal Sentiment Analysis (MSA) endeavors to understand human sentiment by leveraging language, visual, and acoustic modalities. Despite the remarkable performance exhibited by previous MSA approaches, the presence of inherent multimodal ...
Quan, Weize, Zhou, Ziqi, Yan, Dong-Ming, Zhou, Ming, Wang, Kai, Wang, Tong   +5 more
core  

Proceedings of the 3rd Workshop on Multimodal Output Generation [PDF]

, 2010
van der Sluis I, Bergmann K, van Hooijdonk C, Theune M. Proceedings of the 3rd Workshop on Multimodal Output Generation. In: MOG 2010.
van Hooijdonk, Charlotte, Bergmann, Kirsten, van der Sluis, Ielka, Theune, Mariet   +3 more
core