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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Tee und mikroskopische Untersuchung von Tee,issue by simulating adverse weather or employing universal data augmentation during training. However, these methods lack a detailed analysis and understanding of how adverse weather negatively affects LiDAR semantic segmentation performance. Motivated by this issue, we identified key factors of adv

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Helmut Beitter,Carl-Heinz Schröderut images to circumvent artifacts. We introduce . (In harmonic progression, a Deceptive Cadence may disrupt expectations of chord progression but enriches the emotional expression of the music. Our Deceptive-X, where “X” can be NeRF, 3DGS, or a pertinent 3D reconstruction framework-counters overfitt

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https://doi.org/10.1007/978-3-031-72640-8artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer

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Osteoarthritis

,Diffusion Model Is a Good Pose Estimator from 3D RF-Vision,rior knowledge of body structure and motion. Several modules are designed to achieve these goals, whose features work as the conditions for the subsequent diffusion model, eliminating the miss-detection and instability of HPE based on RF-vision. Extensive experiments demonstrate that mmDiff outperfo

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,Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning,ed training and inference compression degrees to acquire universal performance improvements without further training. Experiments on over 20 downstream tasks demonstrate the effectiveness of our framework. On CIFAR100, fine-grained visual classification, and VTAB-1k benchmark, . can yield up to a ma

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,Point-Supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance,egating and query enhancing processes, then improved distance results and pseudo labels are predicted with these queries. We have experimentally demonstrated the effectiveness of our approach and achieved state-of-the-art results.