Results 71 to 80 of about 346,319 (275)

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Weighted Multiple Instance-Based Deep Correlation Filter for Video Tracking Processing

open access: yesIEEE Access, 2019
With the development of internet technology, the video data has been widely used in multimedia devices, such as video surveillance, webcast, and so on.
Xu Cheng   +4 more
doaj   +1 more source

Visual Perception for a Partner Robot Based on Computational Intelligent [PDF]

open access: yes, 2005
We propose computational intelligence for partner robot perception in which the robot requires the capability of visual perception to interact with human beings.
Kubota, Naoyuki, Sulistijono, Indra Adji
core  

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

open access: yes, 2016
Discriminative Correlation Filters (DCF) have demonstrated excellent performance for visual object tracking. The key to their success is the ability to efficiently exploit available negative data by including all shifted versions of a training sample ...
A Fusiello   +13 more
core   +1 more source

Explicit Visual Prompts for Visual Object Tracking

open access: yesProceedings of the AAAI Conference on Artificial Intelligence
How to effectively exploit spatio-temporal information is crucial to capture target appearance changes in visual tracking. However, most deep learning-based trackers mainly focus on designing a complicated appearance model or template updating strategy, while lacking the exploitation of context between consecutive frames and thus entailing the when-and-
Shi, Liangtao   +5 more
openaire   +2 more sources

Enhancing Oncological Care for India's Aging Population: Addressing the Complex Needs of Older Adults With Cancer

open access: yesAging and Cancer, EarlyView.
Aging‐associated physiological and molecular alterations pose significant challenges in cancer management among India's elderly. Limited geriatric oncology expertise, financial constraints, and inadequate specialized care exacerbate disparities. Strategic expansion of insurance coverage, integration of palliative care, and infrastructural advancements ...
Nihanthy D. Sreenath   +3 more
wiley   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon   +12 more
wiley   +1 more source

Predicting the Best of N Visual Trackers

open access: yesIEEE Access
We observe that the performance of SOTA visual trackers surprisingly strongly varies across different video attributes and datasets. No single tracker remains the best performer across all tracking attributes and datasets. To bridge this gap, for a given
Basit Alawode   +3 more
doaj   +1 more source

Weighted Increment Target Tracking Algorithm Based on Low-rank Sparse Representation [PDF]

open access: yesJisuanji gongcheng, 2016
The objects under complex environment often are affected by occlusion,illumination changes and so on,which lead to tracking drift.In order to improve the accuracy of visual tracking,a novel robust visual tracking algorithm is introduced by using Low-rank
YING Yanli,ZHANG Jiashu,QU Yao
doaj   +1 more source

Visual Object Tracking by Using Ranking Loss

open access: yes2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
This paper introduces a novel deep neural network tracker for robust object tracking. To this end, we employ a ranking loss which provides a fine-tuning of the target object position and returns more precise bounding boxes framing the target object.
Cevikalp, Hakan   +3 more
openaire   +2 more sources

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