雜志介紹

Iet Computer Vision雜志介紹

《Iet Computer Vision》是一本以English為主的開放獲取國(guó)際優(yōu)秀期刊，中文名稱計(jì)算機(jī)視覺(jué)，本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.5，最新CiteScore 指數(shù)為3.3。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• Cross-modality person re-identification using hybrid mutual learning

  Author: Zhang, Zhong; Dong, Qing; Wang, Sen; Liu, Shuang; Xiao, Baihua; Durrani, Tariq S.

• Elastic temporal alignment for few-shot action recognition

  Author: Pan, Fei; Xu, Chunlei; Zhang, Hongjie; Guo, Jie; Guo, Yanwen

• MFNet: Panoptic segmentation network based on multiscale feature weighted fusion and frequency domain attention mechanism

  Author: Lei, Haiwei; He, Fangyuan; Jia, Bohui; Wu, Qian

• Integration graph attention network and multi-centre constrained loss for cross-modality person re-identification

  Author: He, Di; Zhang, Jingrui; Zhang, Zhong; Liu, Shuang; Durrani, Tariq S.

英文介紹

Iet Computer Vision雜志英文介紹

IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision.

IET Computer Vision welcomes submissions on the following topics:

Biologically and perceptually motivated approaches to low level vision (feature detection, etc.);

Perceptual grouping and organisation

Representation, analysis and matching of 2D and 3D shape

Shape-from-X

Object recognition

Image understanding

Learning with visual inputs

Motion analysis and object tracking

Multiview scene analysis

Cognitive approaches in low, mid and high level vision

Control in visual systems

Colour, reflectance and light

Statistical and probabilistic models

Face and gesture

Surveillance

Biometrics and security

Robotics

Vehicle guidance

Automatic model aquisition

Medical image analysis and understanding

Aerial scene analysis and remote sensing

Deep learning models in computer vision

Both methodological and applications orientated papers are welcome.

Manuscripts submitted are expected to include a detailed and analytical review of the literature and state-of-the-art exposition of the original proposed research and its methodology, its thorough experimental evaluation, and last but not least, comparative evaluation against relevant and state-of-the-art methods. Submissions not abiding by these minimum requirements may be returned to authors without being sent to review.

Special Issues Current Call for Papers:

Computer Vision for Smart Cameras and Camera Networks - https://digital-library.theiet.org/files/IET_CVI_SC.pdf

Computer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf