Muhammad Maaz

Publications

1.9K

Citations

H-Index

2022

Active since

Affiliations

Mohamed bin Zayed University of Artificial Intelligence(Current)

University of California, Merced

Yonsei University

Australian National University

Google (United States)

Muhammad Maaz is an author at Mohamed bin Zayed University of Artificial Intelligence specializing in engineering, computer vision, and deep learning.

ORCID

Top concepts

EngineeringComputer VisionDeep LearningImage AnalysisMachine VisionComputer ScienceMachine LearningMachine TranslationNatural Language ProcessingLinguistics

Publications per year

2022–2024

Publications

MaPLe: Multi-modal Prompt Learning

Muhammad Uzair Khattak, Hanoona Rasheed, Muhammad Maaz et al. · 2023 · 626 citations

Artificial Intelligence, Llm Fine-tuning, Engineering +23

UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation

Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed et al. · IEEE Transactions on Medical Imaging · 2024 · 297 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +23

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Muhammad Maaz, Hanoona Rasheed, Salman Khan et al. · 2024 · 241 citations · Full text

Natural Language Processing, Large Vision, Machine Vision +11

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed et al. · 2023 · 210 citations

Event Camera, Convolutional Neural Network, Engineering +16

Fine-tuned CLIP Models are Efficient Video Learners

Hanoona Rasheed, Muhammad Uzair Khattak, Muhammad Maaz et al. · 2023 · 141 citations

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