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Amir Nazemi
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Journal Articles
- 2024
- [j3]Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth:
Memory-Efficient Continual Learning Object Segmentation for Long Videos. IEEE Access 12: 97067-97084 (2024) - 2021
- [j2]Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. IEEE Signal Process. Mag. 38(1): 22-30 (2021) - 2020
- [j1]Amir Nazemi, Zohreh Azimifar, Mohammad Javad Shafiee, Alexander Wong:
Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning. IEEE Trans. Intell. Transp. Syst. 21(7): 3080-3090 (2020)
Conference and Workshop Papers
- 2023
- [c2]Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth:
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. CVPR Workshops 2023: 2496-2505 - 2022
- [c1]Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS 2022: 1-7
Informal and Other Publications
- 2024
- [i8]Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino, Chris Czarnecki, Paul W. Fieguth:
Particle-Filtering-based Latent Diffusion for Inverse Problems. CoRR abs/2408.13868 (2024) - 2023
- [i7]Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth:
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. CoRR abs/2304.04259 (2023) - [i6]Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth:
Memory-Efficient Continual Learning Object Segmentation for Long Video. CoRR abs/2309.15274 (2023) - [i5]Dylan Spicker, Amir Nazemi, Joy Hutchinson, Paul W. Fieguth, Sharon I. Kirkpatrick, Michael Wallace, Kevin W. Dodd:
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data. CoRR abs/2311.09338 (2023) - 2022
- [i4]Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR abs/2202.06139 (2022) - 2020
- [i3]Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems. CoRR abs/2003.08756 (2020) - 2019
- [i2]Amir Nazemi, Paul W. Fieguth:
Potential adversarial samples for white-box attacks. CoRR abs/1912.06409 (2019) - 2018
- [i1]Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong:
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. CoRR abs/1806.03028 (2018)
Coauthor Index
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