Amir Nazemi

19 papers Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boundary-aware semantic segmentation for ice hockey rink registration.
Comput. Vis. Image Underst.
Zhibo Wang, Amir Nazemi, Stephie Liu, Sirisha Rambhatla, Yuhao Chen, David A. Clausi
2025 — conf
Ice Hockey Action Recognition via Contextual Priors.
LINHAC
Kseniia Buzko, Amir Nazemi, David A. Clausi, Yuhao Chen
2025 — conf
Ice Hockey Puck Localization Using Contextual Cues.
CVPR Workshops
Liam Salass, Jerrin Bright, Amir Nazemi, Yuhao Chen, John S. Zelek, David A. Clausi
2025 J jnl
Ice Hockey Puck Localization Using Contextual Cues.
CoRR
Liam Salass, Jerrin Bright, Amir Nazemi, Yuhao Chen, John S. Zelek, David A. Clausi
2025 J jnl
Patch-Based Optimization for Noise-Robust Reconstruction of Specular Surfaces.
IEEE Access
Saed Moradi, Mohammad Hadi Sepanj, Amir Nazemi, Claire Preston, Anthony M. D. Lee, Paul W. Fieguth
2025 — conf
Position Paper: New Views of Shots - Towards Measures of Net Visibility and Reachability.
LINHAC
Evan Iaboni, Sebastian Negulescu, Miles Pitassi, Amir Nazemi, Jerrin Bright, Vasyl Chomko, David A. Clausi, Sven J. Dickinson, Tim Brecht
2024 J jnl
Memory-Efficient Continual Learning Object Segmentation for Long Videos.
IEEE Access
Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth
2024 J jnl
Particle-Filtering-based Latent Diffusion for Inverse Problems.
CoRR
Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino, Chris Czarnecki, Paul W. Fieguth
2023 — conf
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning.
CVPR Workshops
Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth
2023 J jnl
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning.
CoRR
Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth
2023 J jnl
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data.
CoRR
Dylan Spicker, Amir Nazemi, Joy Hutchinson, Paul W. Fieguth, Sharon I. Kirkpatrick, Michael Wallace, Kevin W. Dodd
2023 J jnl
Memory-Efficient Continual Learning Object Segmentation for Long Video.
CoRR
Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth
2022 — conf
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study.
ICPS
Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2022 J jnl
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study.
CoRR
Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2021 J jnl
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement.
IEEE Signal Process. Mag.
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
2020 J jnl
Deep Neural Network Perception Models and Robust Autonomous Driving Systems.
CoRR
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
2020 J jnl
Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning.
IEEE Trans. Intell. Transp. Syst.
Amir Nazemi, Zohreh Azimifar, Mohammad Javad Shafiee, Alexander Wong
2019 J jnl
Potential adversarial samples for white-box attacks.
CoRR
Amir Nazemi, Paul W. Fieguth
2018 J jnl
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition.
CoRR
Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong