3 papers
cs.CV2025
Perceptual Taxonomy: Evaluating and Guiding Hierarchical Scene Reasoning in Vision-Language Models
Jonathan Lee, Xingrui Wang, Jiawei Peng +9
We propose Perceptual Taxonomy, a structured process of scene understanding that first recognizes objects and their spatial configurations, then infers task-relevant properties suc…
cs.LG2025
Why and How Auxiliary Tasks Improve JEPA Representations
Jiacan Yu, Siyi Chen, Mingrui Liu +5
Joint-Embedding Predictive Architecture (JEPA) is increasingly used for visual representation learning and as a component in model-based RL, but its behavior remains poorly underst…
cs.CV2025
MVT: Mask-Grounded Vision-Language Models for Taxonomy-Aligned Land-Cover Tagging
Siyi Chen, Kai Wang, Weicong Pang +7
Land-cover understanding in remote sensing increasingly demands class-agnostic systems that generalize across datasets while remaining spatially precise and interpretable. We study…