4 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
What Drives Compositional Generalization in Visual Generative Models? The Importance of Continuous Training Objectives
Karim Farid, Rajat Sahay, Yumna Ali Alnaggar +4
Compositional generalization, the ability to generate novel combinations of known concepts, is a key ingredient for visual generative models. Yet, not all mechanisms that enable or…
MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model
Rajat Sahay, Andreas Savakis
The emergence of foundation models, such as the Segment Anything Model (SAM), has sparked interest in Parameter-Efficient Fine-Tuning (PEFT) methods that tailor these large models…