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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,Synchronous Diffusion for Unsupervised Smooth Non-rigid 3D Shape Matching,hing problems. The intuition of synchronous diffusion is that diffusing the same input function on two different shapes results in consistent outputs. Using different challenging datasets, we demonstrate that our novel regularisation can substantially improve the state-of-the-art in shape matching, especially in the presence of topological noise.

expound

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,SignAvatars: A Large-Scale 3D Sign Language Holistic Motion Dataset and Benchmark, hard-of-hearing individuals. While there has been an exponentially growing number of research regarding digital communication, the majority of existing communication technologies primarily cater to spoken or written languages, instead of SL, the essential communication method for Deaf and hard-of-h

LUDE

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,Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search,rative models like Generative Adversarial Networks (GANs) are now widely used in many real-time applications. Previous GAS methods use differentiable or evolutionary search to find optimal GAN generators for fast inference and memory efficiency. However, the high computational overhead of these trai

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,: Navigate Weakly-Supervised Temporal Grounded Video Question Answering via Bi-directional Reasonin content from temporal and causal perspectives. Traditional supervised VQA methods gain this capability through meticulously annotated QA datasets, while advanced visual-language models exhibit remarkable performance due to large-scale visual-text pretraining data. Nevertheless, due to potential lan

ARC

,Spectral Subsurface Scattering for Material Classification,nts have individually been used in material classification, we argue that the strong spectral dependence of subsurface scattering lends itself to highly discriminative features. However, obtaining . measurements requires a time-consuming hyperspectral scan. We avoid this by showing that a carefully

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