Xiang Fang

Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection

Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models

Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation

Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models

DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation

Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation

Does Your Video-language Model Actually Understand the Language Input?

Dynamic Taylor Convolutional Neural Network for Few-Shot Point Cloud Semantic Segmentation

Are Large Vision-Language Models Robust to Adversarial Visual Transformations?

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models