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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,VideoMamba: State Space Model for?Efficient Video Understanding,o domain. The proposed VideoMamba overcomes the limitations of existing 3D convolution neural networks (CNNs) and video transformers. Its linear-complexity operator enables efficient long-term modeling, which is crucial for high-resolution long video understanding. Extensive evaluations reveal Video

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,SAFNet: Selective Alignment Fusion Network for?Efficient HDR Imaging,ethods have achieved great success by either following the alignment and fusion pipeline or utilizing attention mechanism. However, the large computation cost and inference delay hinder them from deploying on resource limited devices. In this paper, to achieve better efficiency, a novel Selective Al

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,Heterogeneous Graph Learning for?Scene Graph Prediction in?3D Point Clouds,her exploit context information or emphasize knowledge prior to model the scene graph in a fully-connected homogeneous graph framework. However, these methods may lead to indiscriminate message passing among graph nodes (i.e., objects), resulting in sub-optimal performance. In this paper, we propose

DEMN

,Reason2Drive: Towards Interpretable and?Chain-Based Reasoning for?Autonomous Driving,ning tasks essential for highly autonomous vehicle behavior. Despite their potential, research in autonomous systems is hindered by the lack of datasets with annotated reasoning chains that explain the decision-making processes in driving. To bridge this gap, we present Reason2Drive, a benchmark dat

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,Omniview-Tuning: Boosting Viewpoint Invariance of?Vision-Language Pre-training Models,ess to distribution shifts of 2D images. However, their robustness under 3D viewpoint variations is still limited, which can hinder the development for real-world applications. This paper successfully addresses this concern while keeping VLPs’ original performance by breaking through two primary obs