CityGuard introduces a graph-aware transformer with dispersion-adaptive metrics, spatially conditioned attention using coarse geometry, and differentially private embeddings to support privacy-preserving identity retrieval across city cameras.
Dual-semantic consistency learning for visible- infrared person re-identification.IEEE Transactions on Information Forensics and Security, 18:1554–1565, 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras
CityGuard introduces a graph-aware transformer with dispersion-adaptive metrics, spatially conditioned attention using coarse geometry, and differentially private embeddings to support privacy-preserving identity retrieval across city cameras.