Author

Muhammad Awais

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#artificial intelligence Preprint Oct 2026

Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding

Video Anomaly Detection (VAD) aims to temporally localize abnormal events in videos. Most existing approaches rely on dataset-specific training and curated annotations, limiting generalization in open-set scenarios. Recent zero-shot methods based on Large Vision- Language Models (LVLMs) alleviate this dependency but of...

Mohd Ubaid Wani, Sara Atito, Josef Kittler et al. · 0 citations

Preprint Sep 2026

From Gaze to Meaning: A Training-Free AI Agent for Unified Grounding and Explanation

This work introduces the first training-free Gaze Target Agent (GTA) for gaze-guided reasoning across tasks such as gaze target prediction, attention localization, and object identification by leveraging pretrained vision-language models, augmenting them with visually guided prompts, and employing a memory-based retrie...

Shayan Nasiriboukani, Sara Atito, Mohammad Nezamipour et al. · 0 citations

SyncDreamer : Controllable and Expressive Avatar Generation Beyond the Talking Head

SyncDreamer is presented, a unified diffusion Transformer framework that generates identity-preserving and emotionally expressive talking avatars from only a single image, speech audio, and text prompt, and an RL-based Cross-Modal Prompt Enhancer grounding textual cues in visual context for fine-grained motion con-trol...

Fatemeh Nazarieh, Zhenhua Feng, Diptesh Kanojia et al. · 0 citations

Jul 2026

MorphUNet: Alpha-Controlled Biometric Transport for Diffusion-Based Face Morphing Attacks

MorphUNet is the first diffusion-based morphing framework using trainable parent-separated dual cross-attention inside the denoising U-Net: a Biometric Transport Layer carrying parent-specific identity evidence through denoising, attending to each parent separately before combining residuals via the morphing parameter...

T. Rizwan, Sara Atito, Zhenhua Feng et al. · arXiv.org · 0 citations

Jul 2026

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models

Generative diffusion models have revolutionized facial image synthesis, yet robust identity preservation in high resolution outputs remains a critical challenge. This issue is especially vital for security systems, biometric authentication, and privacy sensitive applications, where any drift in identity integrity can u...

T. Rizwan, Sara Atito, Muhammad Awais et al. · arXiv.org · 0 citations