29 citations · 29 across the 3 of their papers we have counts for
4 papers
Orbis 2: A Hierarchical World Model for Driving
Sudhanshu Mittal, Arian Mousakhan, Silvio Galesso +4
Current world models operate at a single level of abstraction, with most prioritizing perceptual fidelity while lacking the spatial reasoning and semantic understanding required fo…
Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models
Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso +2
Existing world models for autonomous driving struggle with long-horizon generation and generalization to challenging scenarios. In this work, we develop a model using simple design…
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
Sassan Mokhtar, Arian Mousakhan, Silvio Galesso +2
Recent advances in visual industrial anomaly detection have demonstrated exceptional performance in identifying and segmenting anomalous regions while maintaining fast inference sp…
Anomaly Detection with Conditioned Denoising Diffusion Models
Arian Mousakhan, Thomas Brox, Jawad Tayyub
Traditional reconstruction-based methods have struggled to achieve competitive performance in anomaly detection. In this paper, we introduce Denoising Diffusion Anomaly Detection (…