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Titlebook: Computer Vision – ACCV 2020; 15th Asian Conferenc Hiroshi Ishikawa,Cheng-Lin Liu,Jianbo Shi Conference proceedings 2021 Springer Nature Swi

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发表于 2025-3-21 16:58:24 | 显示全部楼层 |阅读模式
书目名称Computer Vision – ACCV 2020
副标题15th Asian Conferenc
编辑Hiroshi Ishikawa,Cheng-Lin Liu,Jianbo Shi
视频videohttp://file.papertrans.cn/235/234127/234127.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision – ACCV 2020; 15th Asian Conferenc Hiroshi Ishikawa,Cheng-Lin Liu,Jianbo Shi Conference proceedings 2021 Springer Nature Swi
描述The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.*.The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:..Part I: 3D computer vision; segmentation and grouping..Part II: low-level vision, image processing; motion and tracking..Part III: recognition and detection; optimization, statistical methods, and learning; robot vision.Part IV: deep learning for computer vision, generative models for computer vision..Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis..Part VI: applications of computer vision; vision for X; datasets and performance analysis..*The conference was held virtually..
出版日期Conference proceedings 2021
关键词artificial intelligence; biomedical image analysis; computer networks; computer vision; face recognition
版次1
doihttps://doi.org/10.1007/978-3-030-69532-3
isbn_softcover978-3-030-69531-6
isbn_ebook978-3-030-69532-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network tasks. However, these methods are usually computationally expensive, which constrains their application in mobile scenarios. In addition, most of the existing methods rarely take full advantage of the intermediate features which are helpful for restoration. To address these issues, we propose a mod
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Second-Order Camera-Aware Color Transformation for Cross-Domain Person Re-identificationD remains a challenging task. The performance of ReID model trained on the labeled dataset (source) is often inferior on the new unlabeled dataset (target), due to large variation in color, resolution, scenes of different datasets. Therefore, unsupervised person ReID has gained a lot of attention du
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CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation of video compressive sensing. Firstly, explicit multi-hypothesis motion compensation is applied in our network to extract correlation information of adjacent frames (as shown in Fig. .), which improves the recover performance. And then, a residual module further narrows down the gap between reconst
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Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallaxtructing ghosting-free HDR images of dynamic scenes from a set of multi-exposure images is a challenging task, especially with large object motion, disparity, and occlusions, leading to visible artifacts using existing methods. In this paper, we propose a Pyramidal Alignment and Masked merging netwo
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Low-Light Color Imaging via Dual Camera Acquisitiono devise a dual camera system using a high spatial resolution (HSR) monochrome camera and another low spatial resolution (LSR) color camera for synthesizing the high-quality color image under low-light illumination conditions. The key problem is how to efficiently learn and fuse cross-camera informa
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