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
Multi-Channel imaging (MCI) data differs fundamentally from natural images, as each channel records a semantically distinct signal rather than a colour band. To adapt vision encoders to MCI data, Multi-Channel Vision Transformers (MC-ViTs) tokenize each channel independently and concatenate the resulting tokens into on...
Umar Marikkar, S. Husain, Muhammad Awais et al.· 0 citations
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
This work presents AudioChaps, a post-training framework for aligning end-to-end LALMs for this task via Group Relative Policy Optimization (GRPO) guided by Chain-of-Thought (CoT) reasoning, and demonstrates that GRPO-trained LALMs can reliably transform unstructured auditory streams into navigable, structured media.
Tony Alex, Wish Suharitdamrong, Sara Atito et al.· 0 citations
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
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
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