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
Sanjay Ranka
First name
Sanjay
Last name
Ranka
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