1 citations · 1 across the 6 of their papers we have counts for
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Physical AI Smart Spaces: A Large-Scale Benchmark for Multi-Camera 3D Perception in Smart Spaces
Yuxing Wang, Yizhou Wang, Anqi Li +13
Physical AI Smart Spaces is, to the best of our knowledge, the first benchmark to simultaneously provide large-scale, multi-class, and multi-camera 3D perception data for indoor sm…
The 10th AI City Challenge
Zheng Tang, Shuo Wang, David C. Anastasiu +34
The 10th AI City Challenge, held with ECCV 2026, marks a decade of community benchmarking for intelligent transportation, smart cities, and physical AI. Since its 2017 start with v…
Model Optimization for Multi-Camera 3D Detection and Tracking
Ethan Anderson, Justin Silva, Kyle Zheng +4
Outside-in multi-camera perception is increasingly important in indoor environments, where networks of static cameras must support multi-target tracking under occlusion and heterog…
A Unified 3D Object Perception Framework for Real-Time Outside-In Multi-Camera Systems
Yizhou Wang, Sameer Pusegaonkar, Yuxing Wang +10
Accurate 3D object perception and multi-target multi-camera (MTMC) tracking are fundamental for the digital transformation of industrial infrastructure. However, transitioning "ins…