T-cell
发表于 2025-3-21 19:03:44
书目名称Computer Vision – ECCV 2020影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234230<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234230<br><br> <br><br>
separate
发表于 2025-3-21 22:16:20
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精密
发表于 2025-3-22 01:44:03
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constitutional
发表于 2025-3-22 07:43:37
,Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Egned (a) to evaluate the influence of both depth and color modalities on 3D hand pose estimation, under the presence or absence of objects; (b) to assess the generalisation abilities .. four main axes: shapes, articulations, viewpoints, and objects; (c) to explore the use of a synthetic hand models
钝剑
发表于 2025-3-22 12:29:58
Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational Autoencothe curvature of the data manifold to improve learning. Our experiments show that the combination of the improved representations with the novel loss function enable MGP-VAE to outperform the baselines in video prediction.
轻弹
发表于 2025-3-22 14:02:41
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轻弹
发表于 2025-3-22 17:13:03
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relmulus-response symptom features to effectively predict cybersickness by embedding relational characteristics with graph formulation. For validation, we utilize two public 360-degree video datasets that contain cybersickness scores and physiological signals. Experimental results show that the propose
CHARM
发表于 2025-3-22 23:03:19
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Mindfulness
发表于 2025-3-23 03:50:02
Know Your Surroundings: Exploiting Scene Information for Object Tracking,re propagated through the sequence and combined with the appearance model output to localize the target. Our network is learned to effectively utilize the scene information by directly maximizing tracking performance on video segments. The proposed approach sets a new state-of-the-art on 3 tracking
Soliloquy
发表于 2025-3-23 07:10:00
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