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Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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21#
發(fā)表于 2025-3-25 05:09:20 | 只看該作者
Kontinuit?t von Emotionen im Lebensverlaufcenes, and then deployed on unseen test scenes. While this paradigm has yielded tremendous progress, it fundamentally assumes that trends in human behavior within the deployment scene are constant over time. As such, current prediction models are unable to adapt to transient human behaviors, such as
22#
發(fā)表于 2025-3-25 08:17:39 | 只看該作者
23#
發(fā)表于 2025-3-25 12:50:34 | 只看該作者
24#
發(fā)表于 2025-3-25 18:54:44 | 只看該作者
25#
發(fā)表于 2025-3-25 23:48:25 | 只看該作者
0302-9743 n; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-72919-5978-3-031-72920-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
26#
發(fā)表于 2025-3-26 02:09:36 | 只看該作者
https://doi.org/10.1007/978-3-642-50946-9pose MaxFusion, an efficient strategy to scale up text-to-image generation models to accommodate new modality conditions. Specifically, we combine aligned features of multiple models, bringing a compositional effect. Our fusion strategy can be integrated into off-the-shelf models to enhance their generative prowess.
27#
發(fā)表于 2025-3-26 07:40:24 | 只看該作者
28#
發(fā)表于 2025-3-26 09:22:56 | 只看該作者
29#
發(fā)表于 2025-3-26 15:57:47 | 只看該作者
30#
發(fā)表于 2025-3-26 19:55:44 | 只看該作者
,: 3D Object Part Segmentation by?2D Semantic Correspondences,able 2D labels, enabling effective 3D object part segmentation. Our method 3-By-2 can accommodate various part taxonomies and granularities, demonstrating part label transfer ability across different object categories. Project website: ..
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