Sanjay Ranka

He, P., Emami, P., Ranka, S., & Rangarajan, A. (2022). Learning Scene Dynamics from Point Cloud Sequences. International Journal of Computer Vision, 130(3), 27. http://doi.org/10.1007/s11263-021-01551-y

Banerjee, T., Huang, X., Chen, K., Rangarajan, A., & Ranka, S. (2020). Clustering Object Trajectories for Intersection Traffic Analysis [Clustering Object Trajectories for Intersection Traffic Analysis]. In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS (p. 8). http://doi.org/10.5220/0009422500980105

Ranka, S., Rangarajan, A., Elefteriadou, L., Srinivasan, S., Poasadas, E., Hoffman, D., … Byron, T. (2020). A Vision of Smart Traffic Infrastructure for Traditional, Connected, and Autonomous Vehicles. In Proceedings of 2020 IEEE Metrocad (p. 8). http://doi.org/10.1109/MetroCAD48866.2020.00008

Huang, X., He, P., Rangarajan, A., & Ranka, S. (2020). Intelligent Intersection: Two-stream Convolutional Networks for Real-time Near-accident Detection in Traffic Video. ACM Transactions on Spatial Algorithms and Systems, 6(2), 28. http://doi.org/10.1145/3373647

Mahajan, D., Karnati, Y., Banerjee, T., Regalla, V. R., Reddy, R., Rangarajan, A., & Ranka, S. (2020). A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets. In Proceedings of 2020 IEEE International Intelligent Transportation Systems Conference (ITSC), (p. 6). http://doi.org/10.1109/ITSC45102.2020.9294738

Sengupta, R., Karnati, Y., Rangarajan, A., & Ranka, S. (2021). TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. In Proceedings of 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), (p. 8). http://doi.org/10.1109/ITSC48978.2021.9564900

Wu, A., Banerjee, T., Rangarajan, A., & Ranka, S. (2021). Trajectory Prediction via Learning Motion Cluster Patterns in Curvilinear Coordinates. In Proceedings of 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), (p. 8). http://doi.org/10.1109/ITSC48978.2021.9564800

Karnati, Y., Sengupta, R., & Ranka, S. (2021). InterTwin: Deep Learning Approaches for Computing Measures of Effectiveness for Traffic Intersections. Applied Sciences, 11(24), 1. http://doi.org/10.3390/app112411637

Karnati, Y., Sengupta, R., Rangarajan, A., & Ranka, S. (2022). Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. IEEE Transactions on Intelligent Transportation Systems, 23(3), 11. http://doi.org/10.1109/TITS.2021.3121250

He, P., Emami, P., Ranka, S., & Rangarajan, A. (2023). Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12), 16. http://doi.org/10.1109/TPAMI.2023.3307592