Synopsis of recent research by authors named "Sajid Javed"
- Sajid Javed's recent research centers on advancing computational pathology and computer vision techniques, focusing on tasks such as Whole Slide Image (WSI) classification, tissue phenotyping, and the analysis of textures for applications in cancer detection and monitoring.
- His work employs innovative machine learning frameworks, including unsupervised learning models and neural graph methodologies, to improve accuracy and efficiency in the classification of histological images and 3-D textured surfaces, addressing challenges like class imbalance and the need for manual annotations.
- Javed has also contributed to the creation of novel datasets, such as the D-PTUAC for drone-person tracking, emphasizing the integration of advanced techniques in practical applications to enhance algorithm development in uniform appearance crowds and other complex environments.
