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

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,Topo4D: Topology-Preserving Gaussian Splatting for High-fidelity 4D Head Capture,ixed topology in which the Gaussian centers are bound to the mesh vertices. Afterward, we optimize geometry and texture frame-by-frame alternatively for dynamic head capture while maintaining temporal topology stability. Finally, we can extract dynamic facial meshes in regular wiring arrangement and

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,Learning Modality-Agnostic Representation for Semantic Segmentation from Any Modalities, us to minimize the modality gap and alleviate semantic ambiguity to combine any modalities in any visual conditions. Then, we introduce a modality-agnostic feature fusion (.) module that reweights the multi-modal features based on the inter-modal correlation and selects the fine-grained feature. Th

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,Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Eelational extraction loss that trains the surrogate encoder to .iscriminate mismatched embedding-prototype pairs while .ligning those matched ones in terms of both amplitude and angle. In this way, the trained surrogate encoder achieves state-of-the-art results across the board in various downstream

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