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LABELSENSE-Pilot is a reproducible prototype for point-feature label placement on interactive maps, using graph-context scoring and constrained optimization to balance geometric validity, stability, and accessibility. Experiments show it reduces flicker and maintains high display rates with zero collisions under various stressors.
LongE2V leverages pre-trained video diffusion priors and introduces Autoregressive Unrolling, Adaptive Context Switching, Reencoding Alignment, and Event Voxel Density Augmentation to achieve high-quality video reconstruction, prediction, and frame interpolation from sparse event streams, outperforming state-of-the-art methods.