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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

The 9th AI City Challenge

Zheng Tang, Shuo Wang, David C. Anastasiu +25

The ninth AI City Challenge continues to advance real-world applications of computer vision and AI in transportation, industrial automation, and public safety. The 2025 edition fea…

cs.CV2025

MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos

Yizhou Wang, Tim Meinhardt, Orcun Cetintas +6

Object perception from multi-view cameras is crucial for intelligent systems, particularly in indoor environments, e.g., warehouses, retail stores, and hospitals. Most traditional…

cs.CV2024

The 8th AI City Challenge

Shuo Wang, David C. Anastasiu, Zheng Tang +21

The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (I…