collaborators

5 papers

cs.CV2026

Not All Modalities Are Equal: Instruction-Aware Gating for Multimodal Videos

Bonan Ding, Umair Nawaz, Ufaq Khan +5

Pre-trained video large language models excel at visual reasoning. However, they struggle when videos arrive with auxiliary streams, such as audio, depth map, or dense temporal evi…

cs.CV2026

Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks

Tajamul Ashraf, Amal Saqib, Hanan Ghani +11

Deep reasoning is fundamental for solving complex tasks, especially in vision-centric scenarios that demand sequential, multimodal understanding. However, existing benchmarks typic…

cs.CV2026

AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock

Umair Nawaz, Muhammad Zaigham Zaheer, Ufaq Khan +4

Crops, fisheries and livestock form the backbone of global food production, essential to feed the ever-growing global population. However, these sectors face considerable challenge…

cs.CV2026

WorldCache: Content-Aware Caching for Accelerated Video World Models

Umair Nawaz, Ahmed Heakl, Ufaq Khan +3

Diffusion Transformers (DiTs) power high-fidelity video world models but remain computationally expensive due to sequential denoising and costly spatio-temporal attention. Training…

cs.CV2025

MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning

Tajamul Ashraf, Umair Nawaz, Abdelrahman M. Shaker +4

Vision language models (VLMs) are increasingly deployed as controllers with access to external tools for complex reasoning and decision-making, yet their effectiveness remains limi…