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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Anne Marie Morse,Sanjeev V. Kotharemulti-modal information, the challenges are posed when extended to various clinical modalities and practical modality-missing setting due to the inherent modality gaps. To tackle these, we propose an innovative Modality-.rompted He.erogeneous .raph . .mni-modal Learning (GTP-4o), which embeds the nu

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Allergy Prevention and Therapy,aditional methods relying on supervision signals or post-processing for latent feature disentanglement, our proposed technique enables unsupervised learning using only image data through contrastive feature categorization and spectral regularization. In our framework, the discriminator constructs ge

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Therapieplanung an virtuellen Krebspatientenmans interacting with a single object while neglecting the ubiquitous manipulation of multiple objects. Thus, we propose ., a large-scale MoCap dataset of full-body human interacting with multiple objects, containing . 4D HOI sequences and . 3D HOI frames. We also annotate . with detailed textual de

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Mathematik und intelligente Materialiencapability for image reconstruction. Nevertheless, existing implicit representation approaches only focus on building continuous appearance mapping, ignoring the continuities of the semantic information across pixels. Consequently, achieving the desired reconstruction results becomes challenging whe

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