Muhammad Maaz

According to our database, Muhammad Maaz authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan

IEEE Trans. Medical Imaging, September, 2024

VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding.

Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan

CoRR, 2024

PALO: A Polyglot Large Multimodal Model for 5B People.

Muhammad Maaz, Hanoona Abdul Rasheed, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Tim Baldwin, Michael Felsberg, Fahad Shahbaz Khan

CoRR, 2024

GLaMM: Pixel Grounding Large Multimodal Model.

Hanoona Abdul Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Eric P. Xing, Ming-Hsuan Yang, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Khan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

PG-Video-LLaVA: Pixel Grounding Large Video-Language Models.

Shehan Munasinghe, Rusiru Thushara, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Mubarak Shah, Fahad Shahbaz Khan

CoRR, 2023

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

Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan

CoRR, 2023

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

Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fine-tuned CLIP Models are Efficient Video Learners.

Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MaPLe: Multi-modal Prompt Learning.

Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection.

Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications.

Muhammad Maaz, Abdelrahman M. Shaker, Hisham Cholakkal, Salman H. Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Class-Agnostic Object Detection with Multi-modal Transformer.

Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Multi-modal Transformers Excel at Class-agnostic Object Detection.

Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang

CoRR, 2021

Self-Supervised Learning for Fine-Grained Visual Categorization.

Muhammad Maaz, Hanoona Abdul Rasheed, Dhanalaxmi Gaddam

CoRR, 2021