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Tingzhang Luo

2 accepted papers

2026

Assignment-Driven Hash Learning in a Hyper-Semantic Space for On-the-Fly Category Discovery

CVPR 2026

On-the-fly Category Discovery (OCD) aims to dynamically identify both known and emerging unknown categories from streaming data, using supervision from only a limited set of labeled classes. Despite recent progress, our empirical analysis reveals fundamental limitations: existing methods suffer from

Cited by 0SourceScholar
2025

Linking Known and Unknown: Generalized Cross-Instance Feature Helps Category Discovery

ICASSP 2025accepted

In this paper, we tackle Generalized Category Discovery (GCD) by drawing inspiration from the platypus—a creature that uniquely blends features from different species. Our method bridges the gap between known and unknown categories through a novel cross-instance feature learning paradigm. Unlike tra…

Cited by 0SourceScholar