Tajamul Ashraf

About

Tajamul Ashraf works in AI engineering, based in Baltimore, United States (Johns Hopkins Unviersity). Computer Vision | Medical AI | Agents. Public projects on GitHub include D-MASTER (MICCAI 2024: Welcome to the official repository of D-MASTER: Mask Annealed Transformer for Unsupervised…), Grounded_Teacher (IJCV : Context Aware Grounded Teacher for Source Free Object Detection) and HF-Fed (Welcome to the official repository of HF-Fed: Hierarchical based customized Federated Learning Framework for…), mostly written in Python and Jupyter.

Projects 6

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  D-MASTER

  MICCAI 2024: Welcome to the official repository of D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms. This repository hosts the source code, pre-trained model weights, and benchmark dataset RSNA-BSD1K, supporting research in cross-domain breast cancer detection.

  github.com
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  Grounded_Teacher

  IJCV : Context Aware Grounded Teacher for Source Free Object Detection

  github.com
• github.com

  HF-Fed

  Welcome to the official repository of HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging accepted in MICCAI Worshop 2024.

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  TransFed

  WACV 2024: TransFed: A way to epitomize Focal Modulation using Transformer-based Federated Learning.

  github.com
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  MedSPOT

  MedSPOT is a first benchmark for evaluating MLLMs on workflow-aware clinical GUI grounding tasks across real-world medical software.

  github.com
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  Pose-estimation-using-4-co-planar-points

  Traditional PnP algorithms may not perform well when the points selected are co- planar. However, in the robotics challenge, for the problem of identifying the pose of the counter top, the easiest points to identify are the corners of the counter top. Hence, we decided to use a method proposed by Zhang et al. [3].

  github.com