16 citations · 39 across the 8 of their papers we have counts for
5 papers · 1 filter
Particle-Filtering-based Latent Diffusion for Inverse Problems
Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino +2
Current strategies for solving image-based inverse problems apply latent diffusion models to perform posterior sampling.However, almost all approaches make no explicit attempt to e…
Memory-Efficient Continual Learning Object Segmentation for Long Video
Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee +1
Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from pre…
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Amir Nazemi, Zeyad Moustafa, Paul Fieguth
Continual learning in real-world scenarios is a major challenge. A general continual learning model should have a constant memory size and no predefined task boundaries, as is the…
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi +2
This paper analyzes the robustness of deep learning models in autonomous driving applications and discusses the practical solutions to address that.
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition
Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar +1
Vehicle Make and Model Recognition (MMR) systems provide a fully automatic framework to recognize and classify different vehicle models. Several approaches have been proposed to ad…