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Wenlong Yu

2 accepted papers

2026

Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding

AAAI 2026technical

Fine-Grained Domain Generalization (FGDG) presents greater challenges than conventional domain generalization due to the subtle inter-class differences and relatively pronounced intra-class variations inherent in fine-grained recognition tasks. Under domain shifts, the model becomes overly sensitive

Cited by 0SourcePDFScholar
2025

CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification

CVPR 2025poster

Explainability is a critical factor influencing the wide deployment of deep vision models (DVMs). Concept-based post-hoc explanation methods can provide both global and local insights into model decisions. However, current methods in this field face challenges in that they are inflexible to automati…