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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,UniTalker: Scaling up Audio-Driven 3D Facial Animation Through A Unified Model, 3D annotations, restricting previous models to training on specific annotations and thereby constraining the training scale. In this work, we present ., a unified model featuring a multi-head architecture designed to effectively leverage datasets with varied annotations. To enhance training stabili

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Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulbeings, this ability is rooted in the understanding of semantic correspondence among different objects, which helps to naturally transfer the interaction experience of familiar objects to novel ones. Although robots lack such a reservoir of interaction experience, the vast availability of human vide

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Stitched ViTs are Flexible Vision Backbones,iTs are inefficient in terms of training and deployment, because adopting ViTs with individual sizes requires separate trainings and is restricted by fixed performance-efficiency trade-offs. In this paper, we are inspired by stitchable neural networks (SN-Net), which is a new framework that cheaply

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TrajPrompt: Aligning Color Trajectory with Vision-Language Representations, 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,

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