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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LUMEN

金盤(pán)是高原

https://doi.org/10.1007/978-3-642-90911-5 alignment between different data sources, the external modality cannot fully exhibit its value. For example, recent trajectory prediction approaches incorporate the Bird’s-Eye-View (BEV) scene as an additional source but do not significantly improve performance compared to single-source strategies,

單調(diào)女

Die Eingriffe in der Speiser?hreeen point clouds, suffers from redundant feature interactions among semantically unrelated regions. Additionally, recent methods rely only on 3D information to extract robust feature representations, while overlooking the rich semantic information in 2D images. In this paper, we propose SemReg, a no

Colonoscopy

Elektrochirurgisches InstrumentariumD latent diffusion model to the 3D scope. The target-view image is generated with a single-view source image and the camera pose as condition information. However, due to the high sparsity of the single input image, Zero-1-to-3 tends to produce geometry and appearance inconsistency across views, esp

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PTCA635

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https://doi.org/10.1007/978-3-031-72940-9artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer