Elham Soltanikazemi

A study of deep learning approaches for modeling temporal complexity, spatial context and class imbalance in visual analysis

This dissertation introduces a unified set of architectures and training strategies designed to address these challenges across long-term video object segmentation and high-stakes medical imaging tasks, and demonstrates that integrating efficient temporal modeling, explicit spatial structure, and imbalance-aware learni...