The 10th AI City Challenge, held with ECCV 2026, marks a decade of community benchmarking for intelligent transportation, smart cities, and physical AI with 325 registered teams, and participation from 26 countries and regions, up from 15.
Zheng-Hang Tang, Shuo Wang, David C. Anastasiu et al.· 8 citations· ⚡2
A unified conditional-flow framework that casts generation, semantic editing, and intra-structural retargeting as condition-modulated transport within one text- and skeleton-conditioned rectified-flow model, replacing separate pipelines with a single conditional motion transport model while keeping the same-topology re...
Junli Li, Xin Song, Si-Qi Wang et al.· arXiv.org· 1 citation
TAR and TAR-Bench serve as the official training and in-domain evaluation resources for AI City Challenge 2026 Track 3 and highlight persistent limitations in temporal precision and causal attribution.
Han Zhang, Yi-Lin Zhao, Zaid Pervaiz Bhat et al.· 1 citation
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