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Weijia Fan

2 accepted papers

2026

BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition

AAAI 2026technical

For long-tailed recognition (LTR) tasks, high intra-class compactness and inter-class separability in both head and tail classes, as well as balanced separability among all the classifier vectors, are preferred. The existing LTR methods based on cross-entropy (CE) loss not only struggle to learn fea

Cited by 0SourcePDFScholar
2026

More than the Sum: Panorama-Language Models for Adverse Omni-Scenes

CVPR 2026

Existing vision-language models (VLMs) are tailored for pinhole imagery, stitching multiple narrow field-of-view inputs to piece together a complete omni-scene understanding. Yet, such multi-view perception overlooks the holistic spatial and contextual relationships that a single panorama inherently

Cited by 0SourcecodeScholar