Results 201 to 210 of about 5,580,472 (385)

Improving human computer interaction in a classroom environment using computer vision [PDF]

, 2000
Joshua Flachsbart, David Franklin, Kristian J. Hammond   +2 more
openalex   +1 more source

Neuromorphic Light‐Responsive Organic Matter for in Materia Reservoir Computing

Advanced Materials, EarlyView.
In this work we show that light‐responsive adaptive organic matter can store and process information at the matter level, and emulate neuromorphic functionalities such as short term memory, long term memory and visual memory. Besides demonstrating that material dynamics can be exploited for spatio‐temporal event detection and motion perception, we show
Federico Ferrarese Lupi, Mateo Rosero‐Realpe, Antonio Ocarino, Francesca Frascella, Gianluca Milano, Angelo Angelini   +5 more
wiley   +1 more source

Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery

Scientific Reports
In this study, we explore an enhancement to the U-Net architecture by integrating SK-ResNeXt as the encoder for Land Cover Classification (LCC) tasks using Multispectral Imaging (MSI). SK-ResNeXt introduces cardinality and adaptive kernel sizes, allowing
Leo Thomas Ramos, Angel D. Sappa
doaj   +1 more source

Markov random field models in computer vision

, 1994
S. Z. Li
openalex   +1 more source

A MULTI-AGENT SYSTEM ARCHITECTURE FOR DISTRIBUTED COMPUTER VISION [PDF]

, 2000
T. Graf, Alois Knoll
openalex   +1 more source

Unperceivable Designs of Wearable Electronics

Advanced Materials, EarlyView.
Unperceivable wearable technologies seamlessly integrate into everyone's daily life, for healthcare and Internet‐of‐Things applications. By remaining completely unnoticed both visually and tactilely, by the user and others, they ensure medical privacy and allow natural social interactions.
Yijun Liu, Séverine De Mulatier, Naoji Matsuhisa   +2 more
wiley   +1 more source

LM4LV: A Frozen Large Language Model for Low-level Vision Tasks [PDF]

arXiv
The success of large language models (LLMs) has fostered a new research trend of multi-modality large language models (MLLMs), which changes the paradigm of various fields in computer vision. Though MLLMs have shown promising results in numerous high-level vision and vision-language tasks such as VQA and text-to-image, no works have demonstrated how ...
arxiv  

Special lssue: The recent progress of broadcast engineering and image electronics. Image processing and computer vision.

, 1990
Masayuki Nakajima, Katsuhiko Sakaue, Minoru Asada   +2 more
openalex   +2 more sources

SignStream: A tool for linguistic and computer vision research on visual-gestural language data [PDF]

, 2001
Carol Neidle, Stan Sclaroff, Vassilis Athitsos   +2 more
openalex   +1 more source

Computer vision for textured yarn interlace (nip) measurements at high speeds [PDF]

, 2001
M.P. Millman, Memiş Acar, M.R. Jackson
openalex   +1 more source