1 citations · 1 across the 4 of their papers we have counts for
4 papers
Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model
Junhui Yin, Nan Pu, Xinyu Zhang +4
Prompt learning has become an effective and widely used technique in enhancing vision-language models (VLMs) such as CLIP for various downstream tasks, particularly in zero-shot cl…
Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
Carl Qi, Xiaojie Wang, Silong Yong +6
Reasoning about failures is crucial for building reliable and trustworthy robotic systems. Prior approaches either treat failure reasoning as a closed-set classification problem or…
Multimodal sampling via Schrödinger-Föllmer samplers with temperatures
Xiaojie Wang, Xiaoyan Zhang
Generating samples from complex and high-dimensional distributions is ubiquitous in various scientific fields of statistical physics, Bayesian inference, scientific computing and m…
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model
Junhui Yin, Xinyu Zhang, Lin Wu +1
Current pre-trained vision-language models, such as CLIP, have demonstrated remarkable zero-shot generalization capabilities across various downstream tasks. However, their perform…