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Li Duan

2 accepted papers

2026

Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification

ICLR 2026poster

Large vision-language models (LVLMs) have shown substantial advances in multimodal understanding and generation. However, when presented with incompetent or adversarial inputs, they frequently produce unreliable or even harmful contents, such as fact hallucinations or dangerous instructions. This mi…

Cited by 0SourcecodeScholar
2022

A Continuous Robot Vision Approach for Predicting Shapes and Visually Perceived Weights of Garments

RA-L 2022

We present a continuous perception approach that learns geometric and physical similarities between garments by continuously observing a garment while a robot picks it up from a table. The aim is to capture and encode geometric and physical characteristics of a garment into a manifold where a decisi

Cited by 9SourceScholar