次要
发表于 2025-3-21 17:25:07
书目名称Computer Vision – ECCV 2018影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234190<br><br> <br><br>书目名称Computer Vision – ECCV 2018读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234190<br><br> <br><br>
注意力集中
发表于 2025-3-21 21:19:13
Programmable Triangulation Light Curtainsstead, it needs to only monitor if any object comes within its near proximity which is an easier task than full depth scanning. We introduce a novel device that monitors the presence of objects on a virtual shell near the device, which we refer to as a light curtain. Light curtains offer a light-wei
LEERY
发表于 2025-3-22 01:04:23
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CHOIR
发表于 2025-3-22 07:19:51
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Arboreal
发表于 2025-3-22 09:11:47
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Imageby a handheld mobile phone camera. Our method images the surface under arbitrary environment lighting with the flash turned on, thereby avoiding shadows while simultaneously capturing high-frequency specular highlights. We train a CNN to regress an SVBRDF and surface normals from this image. Our net
Optic-Disk
发表于 2025-3-22 12:57:07
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagatione and pose variations, the problem is compounded when instances occlude each other causing failures in tracking. In this study, we formulate a deep recurrent network that is capable of segmenting and tracking objects in video simultaneously by their temporal continuity, yet able to re-identify them
Optic-Disk
发表于 2025-3-22 20:39:56
Spatio-Temporal Transformer Network for Video Restorationly consider only a pair of consecutive frames and hence are not capable of capturing long-range temporal dependencies and fall short of establishing correspondences across several timesteps. To alleviate these problems, we propose a novel Spatio-temporal Transformer Network (STTN) which handles mult
热烈的欢迎
发表于 2025-3-23 00:07:34
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厨师
发表于 2025-3-23 04:08:01
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刺激
发表于 2025-3-23 07:30:41
Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence pose from given source images. We propose an end-to-end trainable framework that learns to exploit multiple viewpoints to synthesize a novel view without any 3D supervision. Specifically, our model consists of a flow prediction module and a pixel generation module to directly leverage information p