Academic Journal
Q2IET Computer Vision
About IET Computer Vision
IET Computer Vision is a scholarly journal published by John Wiley & Sons Inc.. SCImago 2025 lists it in Q2, with an SJR of 0.358 and H-index of 52.
Coverage: 2007-2026. Research categories: Computer Vision and Pattern Recognition (Q2); Software (Q3).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-03-17. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Video Surveillance and Tracking Methods; Advanced Image and Video Retrieval Techniques; Human Pose and Action Recognition; Advanced Vision and Imaging; Advanced Neural Network Applications; Face and Expression Recognition.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
A Comprehensive Survey on Deep Learning‐Based Semantic Segmentation of 3D Point Clouds: Technologies, Challenges, and Future Directions
Bingjie Hao, Wenjing Zhang, Hongjiu Liu, Xiao Dong et al.
2026-01 · DOI: 10.1049/cvi2.70079Autism Screening Based on Deep Learning Analysis of Eye Movement Trajectories
Taizhe Tan, Zhanxi Guo, Jiahao Chen
2026-01 · DOI: 10.1049/cvi2.70078Hybrid Deep Learning Frameworks for License Plate Recognition in Complex Environments: A Comprehensive Survey and Research Outlook
SanXing Deng, Ewe Lay Sheng, Tiong Sieh Kiong, MengMeng Yang et al.
2026-01 · DOI: 10.1049/cvi2.70071FEPTNet: Feature‐Enhanced Point Transformer With Channel Affinity and Graph Convolution for 3D Point Cloud Segmentation
Miaomiao Li, Kun Qi, Duo Jia, Zhiyong He et al.
2026-01 · DOI: 10.1049/cvi2.70075Towards Robust Multimodal Detection via Progressive Cross‐Domain Feature Fusion
Yaqiong Wang, Yipei Wang, Baoguo Shen, Zhaohui Dang et al.
2026-01 · DOI: 10.1049/cvi2.70074Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
Kalibinuer Tiliwalidi, Falei Liu, Wenjun Li, Chengyin Hu et al.
2026-01 · DOI: 10.1049/cvi2.70070OSS–CAEA: Bridging Vision and Language for Open‐Vocabulary Semantic Segmentation via Collaborative Attention and Embedding Alignment
Yue Sun, Zihui Zhao, Rui Zhao
2026-01 · DOI: 10.1049/cvi2.70073A Systematic Review and Critical Analysis of Vision‐Based and Wearable Sensor Technologies for Hand Rehabilitation in Stroke Survivors
Kamal, Debanga Raj Neog, M. K. Bhuyan, Karl F. MacDorman et al.
2026-01 · DOI: 10.1049/cvi2.70066Delving Into the Devils of Knowledge Distillation for Object Detection: A Survey
Qianyi Shi, Guilin Zhang, Ying Liu, Yang Liu et al.
2026-01 · DOI: 10.1049/cvi2.70067ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning
Xu Wang, Ziyang Cao, Jia Zhao, Huiling Wang et al.
2026-01 · DOI: 10.1049/cvi2.70065PointMamba++: Rethinking Ordering and Convolution Strategy of State Space Model for Point Cloud Analysis
Ke Xu, Xinpu Liu, Yinghui Gao, Qingyong Hu et al.
2026-01 · DOI: 10.1049/cvi2.70064A Multi‐Layer Convolutional Sparse Network for Pattern Classification Based on Sequential Dictionary Learning
Farhad Sadeghi Almalou, Farbod Razzazi, Arash Amini
2026-01 · DOI: 10.1049/cvi2.70055Panoptic Scene Graph Grounded Training‐Free Image Editing With Mutually Exclusive Attention Manipulation
Yunqing He, Ruichao Hou, Jia Bei, Tongwei Ren et al.
2026-01 · DOI: 10.1049/cvi2.70069ST‐LoRA: SVD‐Guided Sparse Low‐Rank Adaptation With Trainable Masks for Large Language and Vision Models
Quan Gan, Haifeng Hu, Feifei Wang, Ming Zhao et al.
2026-01 · DOI: 10.1049/cvi2.70072AT‐ViT: Area‐Targeted Multi‐View Vision Transformer With Cross‐Attention and Multi‐Scale Patching for Plant Trait Recognition in Herbarium Images
Amani Sedrat, Takieddine Chehhat, Youcef Sklab, Hanane Ariouat et al.
2026-01 · DOI: 10.1049/cvi2.70059On the Reliability of Likelihoods From Conditional Flow Matching Generative Models Trained in Feature Space
Shane Josias, Willie Brink
2026-01 · DOI: 10.1049/cvi2.70061Encrypt Anything: A Content‐Aware Hierarchical Privacy Protection Method for Image Data
Jiawei Han, Bingxin Wu, Ying Xu, Peihang Han et al.
2026-01 · DOI: 10.1049/cvi2.70057Stay Local or Go Global: Geo‐Referenced Bounding Boxes for Tracking Wildlife in Thermal Drone Videos
Christoph Praschl, Vincent Coucke, Anna Maschek, David C. Schedl et al.
2026-01 · DOI: 10.1049/cvi2.70077Predicting Fire Heat Release Rate Using Deep Perceptual and Detail‐Aware Hybrid Feature Fusion From Early Smoke Signals
Tianliang Liu, Jinkai Wang, Xu Zhou, Jun Wan et al.
2026-01 · DOI: 10.1049/cvi2.70054Multi‐Grained Vision–Language Alignment for Domain Generalised Person Re‐Identification
Jiachen Li, Xiaojin Gong, Dongping Zhang
2026-01 · DOI: 10.1049/cvi2.70062Reviews
Community Reviews
Version History
October 4, 2026 at 9:26 pm
October 2, 2026