Vinit Katariya

According to our database, Vinit Katariya authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers.

Narges Rashvand, Kenneth Witham, Gabriel Maldonado, Vinit Katariya, Nishanth Marer Prabhu, Gunar Schirner, Hamed Tabkhi

CoRR, 2024

2023

Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach.

Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Gordon Hull, Shannon Reid, Hamed Tabkhi

CoRR, 2023

VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications.

Vinit Katariya, Fatema-E. Jannat, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Hamed Tabkhi

CoRR, 2023

VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems.

Armin Danesh Pazho, Vinit Katariya, Ghazal Alinezhad Noghre, Hamed Tabkhi

CoRR, 2023

A POV-based Highway Vehicle Trajectory Dataset and Prediction Architecture.

Vinit Katariya, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi

CoRR, 2023

Understanding the Challenges and Opportunities of Pose-based Anomaly Detection.

Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya, Hamed Tabkhi

Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

Demonstration of Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems.

Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems.

Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

2022

DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways.

Vinit Katariya, Mohammadreza Baharani, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi

IEEE Trans. Intell. Transp. Syst., 2022

Pishgu: Universal Path Prediction Architecture through Graph Isomorphism and Attentive Convolution.

Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi

CoRR, 2022

2021

DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways.

Mohammadreza Baharani, Vinit Katariya, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi

CoRR, 2021