iet computer vision journal

Chiranjoy Chattopadhyay and Sukhendu Das, " SAFARRI: A Framework for Classification and Retrieving Videos with Similar Human Interactions"; Resubmitted after revision to IET Computer Vision, May 2015. Extensive experimental results indicate their model can achieve competitive or even better performance with existing representative FER methods. (2019) Total Docs. Specifically, a simple yet effective perceptual loss is proposed to consider the information of global semantic-level structure, local patch-level style, and global channel-level effect at the same time. ; Image crowd counting is a challenging problem. Browse all 34 journal templates from IET Publications.Approved by publishing and review experts. Moreover, the ranking loss is combined with Euclidean loss as the final loss function. Publishers own the rights to the articles in their journals. However, they show that characteristics of the multi-mode features differ significantly in distinct modes. COVID-19: A Message from the IET Journals Team We would like to reassure all of our valued authors, reviewers and editors that our journals are continuing to run as usual but, given the current situation, we can offer flexibility on your deadlines if you should need it. Experiments on private driver data set and public Invariant-Top View data set show that the proposed method achieves efficient and competitive performance on 3D human pose estimation. Anil Balaji Gonde Its key problem is how to remove the similarity between colour component images and take full advantage of colour difference information. Junbo Liu, Santosh Kumar Vipparthi We recognise the tremendous contribution that you all make to the IET journals and would like to take this opportunity to thank you for your continued support. Mengyang Pu ; For a complete guide how to prepare your manuscript refer to the journal… They propose two models for follow-up classification. Shengsheng Zhang Subrahmanyam Murala Joonbum Lee Bryan Reimer ; Moongu Jeon, Marek Jakab ; This document is a template, an electronic copy of which can be downloaded from the Research Journals Author Guide page on the IET's Digital Library. However, they suffer from some drawbacks. ; … Advances in colour transfer. more.. Semantic segmentation is one of the important technologies in autonomous driving, and ensuring its real-time and high performance is of utmost importance for the safety of pedestrians and passengers. Sihuan Lin ISSN 1350-245X. Besides, the authors introduce a novel deep pyramid feature fusion module to provide a more flexible style expression and a more efficient transfer process. Video data are of two different intrinsic modes, in-frame and temporal. The authors first introduce a temporal CNN, which directly feeds the multi-mode feature matrix into a CNN. ; The approaches using global statistics fail to capture small, intricate textures and maintain correct texture scales of the artworks, and the others based on local patches are defective on global effect. Further, they analyse the results obtained via ADFNet using class activation maps and RGB representations for image segmentation results. To improve its performance using deep neural networks that operate in real-time, the authors propose a simple and efficient method called ADFNet using accumulated decoder features, ADFNet operates by only using the decoder information without skip connections between the encoder and decoder. Q.M. Zhilei Chai Open access publishing with the IET … Jonathan Wu, Lex Fridman Iet Computer Vision Impact Factor, IF, number of article, detailed information and journal … Source: IET Computer Vision, Volume 14, Issue 7, p. 452 –461; DOI: 10.1049/iet-cvi.2019.0963; Type: Article + Show details-Hide details; p. 452 –461 (10) Swarms of drones are being … 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. Xiaobo Li The experiments with proposed architecture demonstrate the potential of variational auto-encoders in the domain of texture synthesis and also tend to yield sharper reconstruction as well as synthesised texture images. Our journal submission experts are skilled in submitting papers to various international journals. After extracting in-frame feature vectors using a pretrained deep network, the authors integrate them and form a multi-mode feature matrix, which preserves the multi-mode structure and high-level representation. ; ; Yaping Huang Separate training of latent representations increases the stability of the learning process and provides partial disentanglement of latent variables. Bo Jiang In 2012, deep learning became a major breakthrough in the computer vision community by outperforming, by a large margin, classical computer vision methods on ILSVRC challenge. ; Secondly, to extract a discriminative high-level feature, they introduce SA for feature representation, which extracts the hidden layer representation including more comprehensive information. Their main novelties are: (i) propose an intersection-over-union overlap loss, which considers correlations between one anchor and GT boxes and measures how many text areas one anchor contains, (ii) propose a novel anchor sample selection strategy, named CMax-OMin, to select tighter positive samples for training. ; For further information on Article Processing Charges (APCs), Wiley’s transformative agreements, Research 4 Life policies, please visit our FAQ Page or contact [email protected]. Firstly, the authors propose a novel SW-SLDP feature descriptor which divides the facial images into patches and extracts sub-block features synthetically according to both distribution information and directional intensity contrast. Guodong Guo, Santosh Kumar Vipparthi IET Computer Vision Special Issue: ... Open access publishing enables peer reviewed, accepted journal articles to be made freely available online to anyone with access to the internet. CMax-OMin strategy not only considers whether an anchor has the largest overlap with its corresponding GT box (CMax), but also ensures the overlapping between one anchor and other GT boxes as little as possible (OMin). Wei Xing Liqing Zhang, Dianzhuan Jiang Publisher country is . Weichen Xue IET Computer Vision Journal Impact Quartile: Q2.Der Journal … Dynamic features for video applications affects the recognition effect, but it has been sent your! This is a Subscription-based ( non-OA ) Journal a short guide how to remove the similarity between colour component and. To acquire dynamic features for video applications in general difficult to train detection (! All new submissions problem is how to format citations and the bibliography in a wide range of areas Computer. With the IET has now partnered with Publons to give you official recognition your... 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