Kailin Lyu

ClearGCD: Mitigating Shortcut Learning For Robust Generalized Category Discovery

In open-world scenarios, Generalized Category Discovery (GCD) requires identifying both known and novel categories within unlabeled data. However, existing methods often suffer from prototype confusion caused by shortcut learning, which undermines generalization and leads to forgetting of known clas…

T-NACD: A Tactile-Friendly Novel Anomaly Class Discovery Framework for Black Rubber Products

TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception

Traditional vision-based material perception methods often experience substantial performance degradation under visually impaired conditions, thereby motivating the shift toward non-visual multimodal material perception. Despite this, existing approaches frequently perform naive fusion of multimodal