Iet Computer Vision

雜志介紹

Iet Computer Vision雜志介紹

《Iet Computer Vision》是一本以English為主的開放獲取國際優秀期刊，中文名稱計算機視覺，本刊主要出版、報道計算機科學-計算機人工智能領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCI、SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.4，最新CiteScore 指數為3.5。

本刊近期中國學者發表的論文主要有：

• A robust few-shot classifier with image as set of point

  Author: Peng, Suhua; Zhang, Zongliang; Huang, Xingwang; Wang, Zongyue; Su, Shubing; Cai, Guorong

• MMF-Net: A novel multi-feature and multi-level fusion network for 3D human pose estimatio

  Author: Li, Qianxing; Kong, Dehui; Li, Jinghua; Yin, Baocai

• NBCDC-YOLOv8: A new framework to improve blood cell detection and classification based on YOLOv

  Author: Chen, Xuan; Li, Linxuan; Liu, Xiaoyu; Yin, Fengjuan; Liu, Xue; Zhu, Xiaoxiao; Wang, Yufeng; Meng, Fanbin

• Crafting Transferable Adversarial Examples Against 3D Object Detectio

  Author: Long, Haiyan; Chen, Hai; Xu, Mengyao; Zhang, Chonghao; Qian, Fulan

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