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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,CarFormer: Self-driving with?Learned Object-Centric Representations,. In this paper, we propose to learn object-centric representations in BEV to distill a complex scene into more actionable information for self-driving. We first learn to place objects into slots with a slot attention model on BEV sequences. Based on these object-centric representations, we then tra

露天歷史劇

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,Synchronous Diffusion for?Unsupervised Smooth Non-rigid 3D Shape Matching, Nevertheless, respective methods struggle to obtain spatially smooth pointwise correspondences due to the lack of proper regularisation. In this work, inspired by the success of message passing on graphs, we propose a . which we use as regularisation to achieve smoothness in non-rigid 3D shape matc

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