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Lightweight and Deep Appearance Embedding for Multiple Object Tracking IET Comput. Vis. (IF 1.7) Pub Date : 2022-04-30 Liangling Ye,Weida Li,Lixin Zheng,Yuanyue Zeng
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Person Re‐identification Based on Feature Erasure and Diverse Feature Learning IET Comput. Vis. (IF 1.7) Pub Date : 2022-04-28 Lu Peng,Zhang Jidong,Zhang Zhen,Wang Wei,Dou Yamei
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A novel visual classification framework on panoramic attention mechanism network IET Comput. Vis. (IF 1.7) Pub Date : 2022-04-15 Wenshu Li,Shenhao Li,Lingzhi Yin,Xiaoying Guo,Xu Yang
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Classification of hyperspectral images via improved cycle‐MLP IET Comput. Vis. (IF 1.7) Pub Date : 2022-04-12 Na Gong,Chunlei Zhang,Heng Zhou,Kai Zhang,Zhongyuan Wu,Xin Zhang
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DEMVSNet: Denoising and depth inference for unstructured multi‐view stereo on noised images IET Comput. Vis. (IF 1.7) Pub Date : 2022-04-11 Jiawei Han,Xiaomei Chen,Yongtian Zhang,Weimin Hou,Zibo Hu
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Efficient 6D object pose estimation based on attentive multi‐scale contextual information IET Comput. Vis. (IF 1.7) Pub Date : 2022-04-02 Fang Gao,Qingyi Sun,Shaodong Li,Wenbo Li,Yong Li,Jun Yu,Feng Shuang
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DD‐YOLO: An object detection method combining knowledge distillation and Differentiable Architecture Search IET Comput. Vis. (IF 1.7) Pub Date : 2022-04-02 Zhiqiang Xing,Xi Chen,Fengqian Pang
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Multi‐stage attention network for video‐based person re‐identification IET Comput. Vis. (IF 1.7) Pub Date : 2022-03-30 Fan Yang,Wei Li,Binbin Liang,Songchen Han,Xuan Zhu
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Semantic‐meshed and content‐guided transformer for image captioning IET Comput. Vis. (IF 1.7) Pub Date : 2022-03-29 Xuan Li,Wenkai Zhang,Xian Sun,Xin Gao
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Point cloud completion by dynamic transformer with adaptive neighbourhood feature fusion IET Comput. Vis. (IF 1.7) Pub Date : 2022-03-28 Xinpu Liu,Guoquan Xu,Ke Xu,Jianwei Wan,Yanxin Ma
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Distribution probability‐based self‐adaption metric learning for person re‐identification IET Comput. Vis. (IF 1.7) Pub Date : 2022-03-09 Yutao Ren,Zhangcan Huang
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LineGAN: An image colourisation method combined with a line art network IET Comput. Vis. (IF 1.7) Pub Date : 2022-03-08 Dahua Lv,Yuanyuan Pu,Rencan Nie
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M‐CoTransT: Adaptive spatial continuity in visual tracking IET Comput. Vis. (IF 1.7) Pub Date : 2022-02-21 Chunxiao Fan,Runqing Zhang,Yue Ming
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Topic scene graphs for image captioning IET Comput. Vis. (IF 1.7) Pub Date : 2022-02-18 Min Zhang,Jingxiang Chen,Pengfei Li,Ming Jiang,Zhe Zhou
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Semantic‐aware spatial regularization correlation filter for visual tracking IET Comput. Vis. (IF 1.7) Pub Date : 2022-02-15 Yufei Zha,Peng Zhang,Lei Pu,Lichao Zhang
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A binocular reconstruction based on perspective projection constraints and its application on robot eye‐hand coordination IET Comput. Vis. (IF 1.7) Pub Date : 2022-02-15 Hui Wei,Lingjiang Meng
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Dense sampling and detail enhancement network: Improved small object detection based on dense sampling and detail enhancement IET Comput. Vis. (IF 1.7) Pub Date : 2022-01-31 Hong Qin,Yirong Wu,Fangmin Dong,Shuifa Sun
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FCNet: A feature context network based on ensemble framework for image retrieval IET Comput. Vis. (IF 1.7) Pub Date : 2022-01-24 Siyang Li,Yu Guo,Hao Ren,Ziyi Wang,Keyan Ren,Chunsheng Liu,Hua Lin,Jianbo Shi
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Without detection: Two‐step clustering features with local–global attention for image captioning IET Comput. Vis. (IF 1.7) Pub Date : 2022-01-20 Xuan Li,Wenkai Zhang,Xian Sun,Xin Gao
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Temporal‐enhanced graph convolution network for skeleton‐based action recognition IET Comput. Vis. (IF 1.7) Pub Date : 2022-01-11 Yulai Xie,Yang Zhang,Fang Ren
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Multi‐stream densely connected network for semantic segmentation IET Comput. Vis. (IF 1.7) Pub Date : 2021-12-02 Dayu Jia,Jiale Cao,Jing Pan,Yanwei Pang
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Exploring complementary information of self‐supervised pretext tasks for unsupervised video pre‐training IET Comput. Vis. (IF 1.7) Pub Date : 2021-11-28 Wei Zhou,Yi Hou,Kewei Ouyang,Shilin Zhou
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Tensor local linear embedding with global subspace projection optimisation IET Comput. Vis. (IF 1.7) Pub Date : 2021-11-23 Guo Niu,Zhengming Ma
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Batch quadratic programming network with maximum entropy constraint for anomaly detection IET Comput. Vis. (IF 1.7) Pub Date : 2021-11-14 Di Zhou,Weigang Chen,Chunsheng Guo,Mark Zhang
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HQA‐Trans: An end‐to‐end high‐quality‐awareness image translation framework for unsupervised cross‐domain pedestrian detection IET Comput. Vis. (IF 1.7) Pub Date : 2021-11-14 Gelin Shen,Yang Yu,Zhi‐Ri Tang,Haoqiang Chen,Zongtan Zhou
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Spatial‐temporal slowfast graph convolutional network for skeleton‐based action recognition IET Comput. Vis. (IF 1.7) Pub Date : 2021-11-04 Zheng Fang,Xiongwei Zhang,Tieyong Cao,Yunfei Zheng,Meng Sun
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Error Refactor loss based on error analysis in image classification IET Comput. Vis. (IF 1.7) Pub Date : 2021-11-01 Xiaoyu Yu,Yinglu Chen,Guofu Zhou,Yan Liu,Fuchao Li,Zhifei Wang
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Gait‐D: Skeleton‐based gait feature decomposition for gait recognition IET Comput. Vis. (IF 1.7) Pub Date : 2021-11-01 Shuo Gao,Jing Yun,Yumeng Zhao,Limin Liu
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Multi‐stream adaptive spatial‐temporal attention graph convolutional network for skeleton‐based action recognition IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-28 Lubin Yu,Lianfang Tian,Qiliang Du,Jameel Ahmed Bhutto
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Complete/incomplete multi‐view subspace clustering via soft block‐diagonal‐induced regulariser IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-13 Yongli Hu,Cuicui Luo,Boyue Wang,Junbin Gao,Yanfeng Sun,Baocai Yin
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Few‐shot learning with relation propagation and constraint IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-12 Huiyun Gong,Shuo Wang,Xiaowei Zhao,Yifan Yan,Yuqing Ma,Wei Liu,Xianglong Liu
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Improved quadruple sparse census transform and adaptive multi‐shape aggregation algorithms for precise stereo matching IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-09 Chih‐Hsuan Huang,Jar‐Ferr Yang
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TRC‐YOLO: A real‐time detection method for lightweight targets based on mobile devices IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-09 Guanbo Wang,Hongwei Ding,Zhijun Yang,Bo Li,Yihao Wang,Liyong Bao
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Guest editorial: Graph learning for computer vision IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-08 Qi Wang,Hongkai Yu,Song Wang,Jianzhe Lin
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CNN‐combined graph residual network with multilevel feature fusion for hyperspectral image classification IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-06 Wenhui Guo,Guixun Xu,Weifeng Liu,Baodi Liu,Yanjiang Wang
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Cross‐scale feature fusion connection for a YOLO detector IET Comput. Vis. (IF 1.7) Pub Date : 2021-10-06 Zhongling Ruan,Hao Wang,Jianzhong Cao,Hongbo Zhang
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Incremental multi‐view correlated feature learning based on non‐negative matrix factorisation IET Comput. Vis. (IF 1.7) Pub Date : 2021-09-21 Liang Zhao,Tao Yang,Jie Zhang,Zhikui Chen
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A dynamic routing CapsNet based on increment prototype clustering for overcoming catastrophic forgetting IET Comput. Vis. (IF 1.7) Pub Date : 2021-09-18 Meng Wang,Zhengbing Guo,Huafeng Li
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DPANet: Dual Pooling‐aggregated Attention Network for fish segmentation IET Comput. Vis. (IF 1.7) Pub Date : 2021-09-10 Wenbo Zhang,Chaoyi Wu,Zhenshan Bao
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Hybrid attention mechanism for few‐shot relational learning of knowledge graphs IET Comput. Vis. (IF 1.7) Pub Date : 2021-09-08 Ruixin Ma,Zeyang Li,Fangqing Guo,Liang Zhao
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End‐to‐end global to local convolutional neural network learning for hand pose recovery in depth data IET Comput. Vis. (IF 1.7) Pub Date : 2021-08-12 Meysam Madadi,Sergio Escalera,Xavier Baró,Jordi Gonzàlez
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KText: Arbitrary shape text detection using modified K‐Means IET Comput. Vis. (IF 1.7) Pub Date : 2021-07-08 Zhuo Qi,Wenyi Chen,Xiaofei Sun,Wangqian Sun,Hui Yang
Text detection methods based on grouping characters have emerged and have achieved promising performance. Nevertheless, previous methods that grouped characters by learning the relation of adjacent characters or used the heuristic clustering method with a handcrafted feature are unsuitable for dense, curved, or long texts. An effective manner of grouping characters is proposed by introducing K-Means
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Parallax‐based second‐order mixed attention for stereo image super‐resolution IET Comput. Vis. (IF 1.7) Pub Date : 2021-06-19 Chenyang Duan,Nanfeng Xiao
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Accurate localization of moving objects in dynamic environment for small unmanned aerial vehicle platform using global averaging IET Comput. Vis. (IF 1.7) Pub Date : 2021-05-30 Xiuchuan Xie,Tao Yang,Yanning Zhang,Bang Liang,Linfeng Liu
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Online dense activity detection IET Comput. Vis. (IF 1.7) Pub Date : 2021-05-21 Li Weiqi,Wang Jianming,Liang Jiayu,Jin Guanghao,Chung Tae‐Sun
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Enhancing transferability of adversarial examples via rotation‐invariant attacks IET Comput. Vis. (IF 1.7) Pub Date : 2021-05-18 Yexin Duan,Junhua Zou,Xingyu Zhou,Wu Zhang,Jin Zhang,Zhisong Pan
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Enhancing feature fusion with spatial aggregation and channel fusion for semantic segmentation IET Comput. Vis. (IF 1.7) Pub Date : 2021-05-04 Jie Hu,Huifang Kong,Lei Fan,Jun Zhou
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Enhanced three‐dimensional U‐Net with graph‐based refining for segmentation of gastrointestinal stromal tumours IET Comput. Vis. (IF 1.7) Pub Date : 2021-05-02 Qiong Wang,Zhipeng Li,Wanqing Zhao,Hao Wu,Fei Xie,Ziyu Guan,Wei Zhao
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Learning view‐invariant features using stacked autoencoder for skeleton‐based gait recognition IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-26 Md Mahedi Hasan,Hossen Asiful Mustafa
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DualPathGAN: Facial reenacted emotion synthesis IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-26 Jiahui Kong,Haibin Shen,Kejie Huang
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JCa2Co: A joint cascade convolution coding network based on fuzzy regional characteristics for infrared and visible image fusion IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-22 Zhao Xu,Gang Liu,Gang Xiao,Lili Tang,Yanhui Li
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A deep analysis on high‐resolution dermoscopic image classification IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-21 Federico Pollastri,Mario Parreño,Juan Maroñas,Federico Bolelli,Roberto Paredes,Daniel Ramos,Costantino Grana
Convolutional Neural Networks (CNNs) have been broadly employed in dermoscopic image analysis, mainly as a result of the large amount of data gathered by the International Skin Imaging Collaboration (ISIC). Like in many other medical imaging domains, state-of-the-art methods take advantage of architectures developed for other tasks, frequently assuming full transferability between enormous sets of
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An aggregated deep convolutional recurrent model for event based surveillance video summarisation: A supervised approach IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Sreeja M. U.,Binsu C. Kovoor
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Tracking‐DOSeqSLAM: A dynamic sequence‐based visual place recognition paradigm IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Konstantinos A. Tsintotas,Loukas Bampis,Antonios Gasteratos
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Multi‐scale capsule generative adversarial network for snow removal IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Fei Yang,Jialu Zhang,Qian Zhang
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Control the number of skip‐connects to improve robustness of the NAS algorithm IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Bao Feng Zhang,Guo Qiang Zhou
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Multiscale fully convolutional network‐based approach for multilingual character segmentation IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Chao Yu,Jin Liu,Yunhui Li
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SASO: Joint 3D semantic‐instance segmentation via multi‐scale semantic association and salient point clustering optimization IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Jingang Tan,Lili Chen,Kangru Wang,Jiamao Li,Xiaolin Zhang
We propose a novel 3D point cloud segmentation framework named SASO, which jointly performs semantic and instance segmentation tasks. For semantic segmentation task, inspired by the inherent correlation among objects in spatial context, we propose a Multi-scale Semantic Association (MSA) module to explore the constructive effects of the semantic context information. For instance segmentation task,
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3D object recognition with a linear time‐varying system of overlay layers IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Mohammad Sohrabi Nasrabadi,Reza Safabakhsh
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Coconut trees detection and segmentation in aerial imagery using mask region‐based convolution neural network IET Comput. Vis. (IF 1.7) Pub Date : 2021-04-09 Muhammad Shakaib Iqbal,Hazrat Ali,Son N. Tran,Talha Iqbal
Food resources face severe damages under extraordinary situations of catastrophes such as earthquakes, cyclones, and tsunamis. Under such scenarios, speedy assessment of food resources from agricultural land is critical as it supports aid activity in the disaster hit areas. In this article, a deep learning approach is presented for the detection and segmentation of coconut tress in aerial imagery provided