Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. - Amir Nazemi; Mohammad Javad Shafiee; Zohreh Azimifar; Alexander Wong (CoRR, 2018)

Potential adversarial samples for white-box attacks. - Amir Nazemi; Paul W. Fieguth (CoRR, 2019)

Deep Neural Network Perception Models and Robust Autonomous Driving Systems. - Mohammad Javad Shafiee; Ahmadreza Jeddi; Amir Nazemi; Paul W. Fieguth; Alexander Wong (CoRR, 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: Practical Solutions for Mitigation and Improvement. - Mohammad Javad Shafiee; Ahmadreza Jeddi; Amir Nazemi; Paul W. Fieguth; Alexander Wong (IEEE Signal Process. Mag., 2021)

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 (ICPS, 2022)

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. - Amir Nazemi; Zeyad Moustafa; Paul W. Fieguth (CVPR Workshops, 2023)

Memory-Efficient Continual Learning Object Segmentation for Long Video. - Amir Nazemi; Mohammad Javad Shafiee; Zahra Gharaee; Paul W. Fieguth (CoRR, 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 Videos. - Amir Nazemi; Mohammad Javad Shafiee; Zahra Gharaee; Paul W. Fieguth (IEEE Access, 2024)

Particle-Filtering-based Latent Diffusion for Inverse Problems. - Amir Nazemi; Mohammad Hadi Sepanj; Nicholas Pellegrino; Chris Czarnecki; Paul W. Fieguth (CoRR, 2024)

Ice Hockey Puck Localization Using Contextual Cues. - Liam Salass; Jerrin Bright; Amir Nazemi; Yuhao Chen 001; John S. Zelek; David A. Clausi (CVPR Workshops, 2025)

Ice Hockey Action Recognition via Contextual Priors. - Kseniia Buzko; Amir Nazemi; David A. Clausi; Yuhao Chen 001 (LINHAC, 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 (LINHAC, 2025)