Mustafa Munir

Orcid: 0000-0003-0068-4580

According to our database1, Mustafa Munir authored at least 25 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
Parameter Efficient Fine-tuning for Domain-specific Gastrointestinal Disease Recognition.
CoRR, April, 2026

Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models.
CoRR, March, 2026

Training-free Latent Inter-Frame Pruning with Attention Recovery.
CoRR, March, 2026

NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing.
CoRR, December, 2025

Single-Round Scalable Analytic Federated Learning.
CoRR, December, 2025

Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models.
CoRR, December, 2025

ObjectAlign: Neuro-Symbolic Object Consistency Verification and Correction.
CoRR, November, 2025

AdaptViG: Adaptive Vision GNN with Exponential Decay Gating.
CoRR, November, 2025

AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs.
CoRR, September, 2025

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

EfficientMedNeXt: Multi-receptive Dilated Convolutions for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

From Data to Design: Leveraging Frequency Statistics for Efficient Neural Network Architectures.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit.
CoRR, 2024

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation.
CoRR, 2024

Three Decades of Low Power: From Watts to Wisdom.
IEEE Access, 2024

Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Scaling Graph Convolutions for Mobile Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
qMC: A Formal Model Checking Verification Framework For Superconducting Logic.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021


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