Self-Supervised Learning for Fine-Grained Visual Categorization. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Dhanalaxmi Gaddam (CoRR, 2021)

Multi-modal Transformers Excel at Class-agnostic Object Detection. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman H. Khan 001; Fahad Shahbaz Khan; Rao Muhammad Anwer; Ming-Hsuan Yang 001 (CoRR, 2021)

Class-Agnostic Object Detection with Multi-modal Transformer. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Fahad Shahbaz Khan; Rao Muhammad Anwer; Ming-Hsuan Yang 001 (ECCV (10), 2022)

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. - Hanoona Abdul Rasheed; Muhammad Maaz 001; Muhammad Uzair Khattak; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2022)

MaPLe: Multi-modal Prompt Learning. - Muhammad Uzair Khattak; Hanoona Abdul Rasheed; Muhammad Maaz 001; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2023)

Fine-tuned CLIP Models are Efficient Video Learners. - Hanoona Abdul Rasheed; Muhammad Uzair Khattak; Muhammad Maaz 001; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2023)

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. - Abdelrahman M. Shaker; Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (ICCV, 2023)

PG-Video-LLaVA: Pixel Grounding Large Video-Language Models. - Shehan Munasinghe; Rusiru Thushara; Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Mubarak Shah; Fahad Shahbaz Khan (CoRR, 2023)

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Fahad Khan 001 (ACL (1), 2024)

GLaMM: Pixel Grounding Large Multimodal Model. - Hanoona Abdul Rasheed; Muhammad Maaz 001; Sahal Shaji Mullappilly; Abdelrahman M. Shaker; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Eric P. Xing; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CVPR, 2024)

VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation. - Abdelrahman M. Shaker; Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (IEEE Trans. Medical Imaging, 2024)

Palo: A Polyglot Large Multimodal Model for 5B People. - Hanoona Abdul Rasheed; Muhammad Maaz 001; Abdelrahman M. Shaker; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Tim Baldwin; Michael Felsberg; Fahad Shahbaz Khan (WACV, 2025)

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. - Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz 001; Yale Song; Tengyu Ma 005; Shuming Hu; Suyog Dutt Jain; Miguel Martin; Huiyu Wang; et al. (CoRR, 2025)

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos. - Hanoona Abdul Rasheed; Abdelrahman M. Shaker; Anqi Tang; Muhammad Maaz 001; Ming-Hsuan Yang 001; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model. - Bhuiyan Sanjid Shafique; Ashmal Vayani; Muhammad Maaz 001; Hanoona Abdul Rasheed; Dinura Dissanayake; Mohammed Irfan Kurpath; Yahya Hmaiti; Go Inoue; Jean Lahoud; Md. Safirur Rashid; Shadid Intisar Quasem; Maheen Fatima; et al. (CoRR, 2025)