Weiming Liu

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection

UUE: Untargeted Language Model Unlearning via Null-Space-Guided Editing with Lightweight Adapters

C3-OWD: A Curriculum Cross-modal Contrastive Learning Framework for Open-World Detection

Synergizing Dynamic Score Aggregation with Contrastive Regularization for Open-Set Semi-Supervised Out-of-Distribution Detection

MUOT-CLIP: Enhancing Few-Shot Adaptation of CLIP via Inter- and Intra- Modality Unbalanced Optimal Transport

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models

Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization

Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization

Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices

Unified (Semi) Unbalanced and Classic Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization