Tajamul Ashraf

Orcid: 0000-0002-7372-3782

According to our database1, Tajamul Ashraf authored at least 15 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Generalizable Federated Learning using Client Adaptive Focal Modulation.
CoRR, August, 2025

MIRA: A Novel Framework for Fusing Modalities in Medical RAG.
CoRR, July, 2025

TITAN: Query-Token based Domain Adaptive Adversarial Learning.
CoRR, June, 2025

Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks.
CoRR, May, 2025

ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning.
CoRR, May, 2025

Context Aware Grounded Teacher for Source Free Object Detection.
CoRR, April, 2025

LLM Post-Training: A Deep Dive into Reasoning Large Language Models.
CoRR, February, 2025

2024
Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery.
CoRR, 2024

FATE: Focal-modulated Attention Encoder for Temperature Prediction.
CoRR, 2024

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms.
CoRR, 2024

TransFed: A way to epitomize Focal Modulation using Transformer-based Federated Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

HF-Fed: Hierarchical Based Customized Federated Learning Framework for X-Ray Imaging.
Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

2023
PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022
An integral computer vision system for apple detection, classification, and semantic segmentation.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022


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