VSCD presents a query-centric multi-reference model for pixel-wise change detection in unaligned, unsynchronized indoor videos, backed by a 1.1-million-frame benchmark and real-robot validation for surveillance and incremental learning.
Proceedings of the AAAI Conference on Artificial Intelligence , volume=
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A ray-tracing pipeline aligns ground-level image pixels to outdated DEM rasters for real-time 3D terrain reconstruction in wildfire zones, validated primarily through a custom simulator.
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VSCD: Video-based Scene Change Detection in Unaligned Scenes
VSCD presents a query-centric multi-reference model for pixel-wise change detection in unaligned, unsynchronized indoor videos, backed by a 1.1-million-frame benchmark and real-robot validation for surveillance and incremental learning.
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LTM: Large-scale Terrain Model for Wildfire-prone Landscapes
A ray-tracing pipeline aligns ground-level image pixels to outdated DEM rasters for real-time 3D terrain reconstruction in wildfire zones, validated primarily through a custom simulator.