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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
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Publications
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Authors
Zheng Tang (University of Washington)
Milind Naphade (NVIDIA)
Ming-Yu Liu
Xiaodong Yang (NVIDIA)
Stan Birchfield
Shuo Wang (NVIDIA)
Ratnesh Kumar (NVIDIA)
David Anastasiu (San Jose State University)
Jenq-Neng Hwan (University of Washington)
Publication Date
Sunday, June 16, 2019
Published in
CVPR 2019
Research Area
Computer Vision
External Links
arXiv paper
paper on CVPR website
