3 papers
cs.CV2026
Brain-Aligned Multi-Stream Video Transformers with Sparse Self-Selection
Amir Hosein Fadaei, Mahyar Maleki, Mohammad-Reza A. Dehaqani
Modern video transformers typically ignore principles from primate vision and are rarely evaluated against neural data, limiting their biological interpretability. We introduce a s…
cs.CV2025
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis
Amir Hosein Fadaei, Mohammad-Reza A. Dehaqani
It's no secret that video has become the primary way we share information online. That's why there's been a surge in demand for algorithms that can analyze and understand video con…
cs.CV2024
Beyond still images: Temporal features and input variance resilience
Amir Hosein Fadaei, Mohammad-Reza A. Dehaqani
Traditionally, vision models have predominantly relied on spatial features extracted from static images, deviating from the continuous stream of spatiotemporal features processed b…