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cs.CV2026
Multimodal Language Models Cannot Spot Spatial Inconsistencies
Om Khangaonkar, Hadi J. Rad, Hamed Pirsiavash
Spatial consistency is a fundamental property of the visual world and a key requirement for models that aim to understand physical reality. Despite recent advances, multimodal larg…
cs.CV2026
From Imitation to Intuition: Intrinsic Reasoning for Open-Instance Video Classification
Ke Zhang, Xiangchen Zhao, Yunjie Tian +3
Conventional video classification models, acting as effective imitators, excel in scenarios with homogeneous data distributions. However, real-world applications often present an o…
cs.CV2025
gen2seg: Generative Models Enable Generalizable Instance Segmentation
Om Khangaonkar, Hamed Pirsiavash
By pretraining to synthesize coherent images from perturbed inputs, generative models inherently learn to understand object boundaries and scene compositions. How can we repurpose…