| Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification Z Tang, M Naphade, MY Liu, X Yang, S Birchfield, S Wang, R Kumar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 447 | 2019 |
| The 7th ai city challenge M Naphade, S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 261 | 2023 |
| Pamtri: Pose-aware multi-task learning for vehicle re-identification using highly randomized synthetic data Z Tang, M Naphade, S Birchfield, J Tremblay, W Hodge, R Kumar, ... Proceedings of the IEEE/CVF international conference on computer vision, 211-220, 2019 | 194 | 2019 |
| Highway crash detection and risk estimation using deep learning T Huang, S Wang, A Sharma Accident Analysis & Prevention 135, 105392, 2020 | 139 | 2020 |
| The 2019 AI City Challenge. M Naphade, Z Tang, MC Chang, DC Anastasiu, A Sharma, R Chellappa, ... CVPR workshops 8, 2, 2019 | 99 | 2019 |
| The 2018 nvidia ai city challenge M Naphade, MC Chang, A Sharma, DC Anastasiu, V Jagarlamudi, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 86 | 2018 |
| Synthetic Distracted Driving (SynDD1) Dataset for Analyzing Distracted Behaviors and Various Gaze Zones of a Driver MS Rahman, A Venkatachalapathy, A Sharma, J Wang, SV Gursoy, ... arXiv preprint arXiv:2204.08096, 2022 | 30 | 2022 |
| The 8th AI City Challenge S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, MS Rahman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| Object behavior anomaly detection using neural networks M Naphade, S Wang US Patent App. 16/363,869, 2019 | 21 | 2019 |
| Neural architecture for self supervised event learning and anomaly detection M Naphade, T Huang, S Wang, X Yang, MY Liu US Patent App. 16/453,913, 2020 | 9 | 2020 |
| Region-based deformable fully convolutional networks for multi-class object detection at signalized traffic intersections: NVIDIA AICity challenge 2017 Track 1 S Wang, K Ozcan, A Sharma 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 5 | 2017 |
| Techniques for classification with neural networks P Gurumurthy, M Naphade, Y Breek, S Wang US Patent App. 17/337,084, 2022 | 4 | 2022 |
| Performance comparison of a radar based traffic sensor—Smartsensor HD for Indian and American traffic conditions V Ramesh, J Raj, L Vanajakshi, S Wang, A Sharma, L Rilett Urban Mobility India—Research Symp, 2012 | 3 | 2012 |
| Traffic speed prediction using big data enabled deep learning S Wang Iowa State University, 2018 | 2 | 2018 |
| Big-data-driven traffic surveillance system for work zone monitoring and decision supporting S Wang, S Knickerbocker, A Sharma Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 2 | 2017 |
| Leveraging high-resolution traffic data to understand the impacts of congestion on safety T Huang, S Wang, A Sharma 17th International Conference Road Safety On Five Continents (RS5C 2016 …, 2016 | 2 | 2016 |
| Overlaying metadata on video streams on demand for intelligent video analysis M Naphade, P Sriram, F Aghdasi, S Wang US Patent 11,683,453, 2023 | 1 | 2023 |
| Trigger-responsive clip extraction based on remote analysis MR Naphade, P Sriram, S Wang US Patent App. 17/103,715, 2022 | 1 | 2022 |
| Active Traffic Management Case Study: Phase 1 A Sharma, S Wang, A Khattak | 1 | 2016 |
| Object movement behavior learning M Naphade, S Wang US Patent App. 17/964,716, 2023 | | 2023 |
Anuj SharmaIowa State UniversityVerified email at iastate.edu
