Amir Nazemi

According to our database, Amir Nazemi authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Position Paper: New Views of Shots - Towards Measures of Net Visibility and Reachability.

Evan Iaboni, Sebastian Negulescu, Miles Pitassi, Amir Nazemi, Jerrin Bright, Vasyl Chomko, David A. Clausi, Sven J. Dickinson, Tim Brecht

Proceedings of the Linköping Hockey Analytics Conference LINHAC 2025 Research Track and Community Notes, 2025

Ice Hockey Action Recognition via Contextual Priors.

Kseniia Buzko, Amir Nazemi, David A. Clausi, Yuhao Chen

Proceedings of the Linköping Hockey Analytics Conference LINHAC 2025 Research Track and Community Notes, 2025

Ice Hockey Puck Localization Using Contextual Cues.

Liam Salass, Jerrin Bright, Amir Nazemi, Yuhao Chen, John S. Zelek, David A. Clausi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Particle-Filtering-based Latent Diffusion for Inverse Problems.

Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino, Chris Czarnecki, Paul W. Fieguth

CoRR, 2024

Memory-Efficient Continual Learning Object Segmentation for Long Videos.

Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth

IEEE Access, 2024

2023

Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data.

Dylan Spicker, Amir Nazemi, Joy Hutchinson, Paul W. Fieguth, Sharon I. Kirkpatrick, Michael Wallace, Kevin W. Dodd

CoRR, 2023

Memory-Efficient Continual Learning Object Segmentation for Long Video.

Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth

CoRR, 2023

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning.

Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study.

Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

2021

Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement.

Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong

IEEE Signal Process. Mag., 2021

2020

Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning.

Amir Nazemi, Zohreh Azimifar, Mohammad Javad Shafiee, Alexander Wong

IEEE Trans. Intell. Transp. Syst., 2020

Deep Neural Network Perception Models and Robust Autonomous Driving Systems.

Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong

CoRR, 2020

2019

Potential adversarial samples for white-box attacks.

Amir Nazemi, Paul W. Fieguth

CoRR, 2019

2018

Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition.

Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong

CoRR, 2018