AI CITY CHALLENGE

Please cite the following papers accordingly if you choose to work with our datasets or refer to the previous challenge results:  

2024 challenge summary paper – The 8th AI City Challenge

@InProceedings{Shuo24AIC24,
author = {Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Meenakshi S. Arya and Anuj Sharma and Pranamesh Chakraborty and Sanjita Prajapati and Quan Kong and Norimasa Kobori and Munkhjargal Gochoo and Munkh-Erdene Otgonbold and Ganzorig Batnasan and Fady Alnajjar and Ping-Yang Chen and Jun-Wei Hsieh and Xunlei Wu and Sameer Satish Pusegaonkar and Yizhou Wang and Sujit Biswas and Rama Chellappa},
title = {The 8th {AI City Challenge}},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2024},
}

2023 challenge summary paper – The 7th AI City Challenge

@InProceedings{Naphade23AIC23,

author = {Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Meenakshi S. Arya and Anuj Sharma and Qi Feng and Vitaly Ablavsky and Stan Sclaroff and Pranamesh Chakraborty and Sanjita Prajapati and Alice Li and Shangru Li and Krishna Kunadharaju and Shenxin Jiang and Rama Chellappa},

title = {The 7th AI City Challenge},

booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},

month = {June},

year = {2023},

}

2022 challenge summary paper – The 6th AI City Challenge

@InProceedings{Naphade22AIC22,
author = {M. Naphade and S. Wang and D. C. Anastasiu and Z. Tang and M. Chang and Y. Yao and L. Zheng and M. Shaiqur Rahman and A. Venkatachalapathy and A. Sharma and Q. Feng and V. Ablavsky and S. Sclaroff and P. Chakraborty and A. Li and S. Li and R. Chellappa},
title = {The 6th AI City Challenge},
booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
month = {June},
year = {2022},
pages = {3346-3355},
doi = {10.1109/CVPRW56347.2022.00378},
publisher = {IEEE Computer Society}
}

2021 challenge summary paper – The 5th AI City Challenge

@InProceedings{Naphade21AIC21,
author = {Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Xiaodong Yang and Yue Yao and Liang Zheng and Pranamesh Chakraborty and Christian E. Lopez and Anuj Sharma and Qi Feng and Vitaly Ablavsky and Stan Sclaroff},
title = {The 5th AI City Challenge},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2021},
}

2020 challenge summary paper – The 4th AI City Challenge

@InProceedings{Naphade20AIC20,
author = {Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Xiaodong Yang and Liang Zheng and Anuj Sharma and Rama Chellappa and Pranamesh Chakraborty},

title = {The 4th AI City Challenge},

booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020},

pages = {2665–2674}

}

2019 challenge summary paper – The 2019 AI City Challenge

@InProceedings{Naphade19AIC19,
author = {Milind Naphade and Zheng Tang and Ming-Ching Chang and David C. Anastasiu and Anuj Sharma and Rama Chellappa and Shuo Wang and Pranamesh Chakraborty and Tingting Huang and Jenq-Neng Hwang and Siwei Lyu},
title = {The 2019 AI City Challenge},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019},
pages = {452–460}
} 

2018 challenge summary paper – The 2018 AI City Challenge

@inproceedings{Naphade18AIC18,
author={Milind Naphade and Ming-Ching Chang and Anuj Sharma and David C. Anastasiu and Vamsi Jagarlamudi and Pranamesh Chakraborty and Tingting Huang and Shuo Wang and Ming-Yu Liu and Rama Chellappa and Jenq-Neng Hwang and Siwei Lyu},
title = {The 2018 NVIDIA AI City Challenge},
booktitle = {Proc. CVPR Workshops},
pages = {53-–60}, 
year = 2018
}

2017 challenge summary paper – The NVIDIA AI City Challenge

@inproceedings{Naphade17AIC17,

author={Milind Naphade and David C. Anastasiu and Anuj Sharma and Vamsi Jagrlamudi and Hyeran Jeon and Kaikai Liu and Ming-Ching Chang and Siwei Lyu and Zeyu Gao},

title={The NVIDIA AI City Challenge},

booktitle = {Prof. SmartWorld},

address = {Santa Clara, CA, USA},

year = 2017

}

Woven Traffic Safety (WTS) Dataset

@article{WTS2024,

title = {WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding},

author = {Quan Kong and Yuki Kawana and Rajat Saini and Ashutosh Kumar and Jingjing Pan and Ta Gu and Yohei Ozao and Balazs Opra and David C. Anastasiu and Yoichi Sato and Norimasa Kobori},

year = {2024},

url = {https://github.com/woven-visionai/wts-dataset}

}

Synthetic Distracted Driving (SynDD2) dataset: Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driver

@InProceedings{rahman2023synthetic,
author={Mohammed Shaiqur Rahman and Jiyang Wang and Senem Velipasalar Gursoy and David Anastasiu and Shuo Wang and Anuj Sharma},
title = {Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driver},
howpublished = {arXiv:2204.08096},
year = {2023}
} 

Synthetic distracted driving (SynDD1) dataset: Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver

@InProceedings{RAHMAN2023108793,
author={Mohammed Shaiqur Rahman and Archana Venkatachalapathy and Anuj Sharma and Jiyang Wang and Senem Velipasalar Gursoy and David Anastasiu and Shuo Wang},
title = {Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver},
journal = {Data in Brief},
volume = {46},
pages = {108793},
year = {2023},
issn = {2352-3409},
doi = {https://doi.org/10.1016/j.dib.2022.108793}
} 

Natural language-based vehicle retrieval dataset: CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions

@InProceedings{Feng21CityFlowNL,
author={Qi Feng and Vitaly Ablavsky and Stan Sclaroff},
title = {CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions},
howpublished = {arXiv:2101.04741},
year = {2021}
} 

Vehicle MTMC tracking & re-identification dataset – CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

@InProceedings{Tang19CityFlow,
author = {Zheng Tang and Milind Naphade and Ming-Yu Liu and Xiaodong Yang and Stan Birchfield and Shuo Wang and Ratnesh Kumar and David Anastasiu and Jenq-Neng Hwang},

title = {CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019},

pages = {8797–8806}
}

Synthetic 3D vehicle dataset – Simulating Content Consistent Vehicle Datasets with Attribute Descent

@InProceedings{Yao20VehicleX,
author={Yue Yao and Liang Zheng and Xiaodong Yang and Milind Naphade and Tom Gedeon},

title = {Simulating Content Consistent Vehicle Datasets with Attribute Descent},
booktitle = {The European Conference on Computer Vision (ECCV)},

month = {August},
year = {2020},

pages = {775–791}
}