3 citations · 6 across the 19 of their papers we have counts for
7 papers · 1 filter
Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding
Mohd Ubaid Wani, Sara Atito, Josef Kittler +1
Video Anomaly Detection (VAD) aims to temporally localize abnormal events in videos. Most existing approaches rely on dataset-specific training and curated annotations, limiting ge…
From Gaze to Meaning: A Training-Free AI Agent for Unified Grounding and Explanation
Shayan Nasiriboukani, Sara Atito, Mohammad Nezamipour +1
Understanding human attention is fundamental for scene interpretation, yet existing approaches often rely on heavily trained models that lack interpretability. Prior methods strugg…
MorphUNet: Alpha-Controlled Biometric Transport for Diffusion-Based Face Morphing Attacks
Taimoor Rizwan, Sara Atito, Zhenhua Feng +2
Face morphing attacks create synthetic images verifiable against multiple identities, threatening border control and identity verification systems. We introduce MorphUNet, a diffus…
Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models
Taimoor Rizwan, Sara Atito, Muhammad Awais +2
Generative diffusion models have revolutionized facial image synthesis, yet robust identity preservation in high resolution outputs remains a critical challenge. This issue is espe…
The Hidden Evolution of Disguised Visual Context inside the VLM
Wish Suharitdamrong, Tony Alex, Xiatian Zhu +2
Visual tokens enter Large Language Models (LLMs) as raw, foreign signals. How they are transformed into meaningful representations and interact with the language space depends enti…
Information theoretic underpinning of self-supervised learning by clustering
Josef Kittler, Sara Atito, Muhammad Awais
Self-supervised learning (SSL) is recognized as an essential tool for building foundation models for Artificial Intelligence applications. The advances in SSL have been made thanks…
Channel-Aware Probing for Multi-Channel Imaging
Umar Marikkar, Syed Sameed Husain, Muhammad Awais +1
Training and evaluating vision encoders on Multi-Channel Imaging (MCI) data remains challenging as channel configurations vary across datasets, preventing fixed-channel training an…