Muhammad Maaz

According to our database, Muhammad Maaz authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 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

GLaMM: Pixel Grounding Large Multimodal Model.

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

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

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

CoRR, 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 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