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Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app

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发表于 2025-3-21 18:10:18 | 显示全部楼层 |阅读模式
书目名称Computer Vision – ECCV 2022
副标题17th European Confer
编辑Shai Avidan,Gabriel Brostow,Tal Hassner
视频videohttp://file.papertrans.cn/235/234244/234244.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app
描述.The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022.. .The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..
出版日期Conference proceedings 2022
关键词Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-031-20047-2
isbn_softcover978-3-031-20046-5
isbn_ebook978-3-031-20047-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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,PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?,elationships between objects in 3D space as cues for data-driven data association. We encode 3D detections as nodes in a graph, where spatial and temporal pairwise relations among objects are encoded via . coordinates on graph edges. This representation makes our geometric relations invariant to glo
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Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories,ocates it in the next frame. Even though wider temporal context is freely available, prior efforts to take this into account have yielded only small gains over 2-frame methods. In this paper, we revisit Sand and Teller’s “particle video” approach, and study pixel tracking as a long-range motion esti
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,Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline, tracking is limited to specific model-based approaches involving point clouds, which impedes 3D trackers from applying in natural 3D scenes. RGBD sensors provide a more reasonable and acceptable solution for 3D object tracking due to their readily available synchronised color and depth information.
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,Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting,e manifold representations. However, when applied to image reconstruction and synthesis tasks, VAE shows the limitation that the generated sample tends to be blurry. We observe that a similar problem, in which the generated trajectory is located between adjacent lanes, often arises in VAE-based traj
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