10 citations · 17 across the 7 of their papers we have counts for
7 papers
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions
Yudong Zhang, Ruobing Xie, Jiansheng Chen +2
Large Vision-Language Models (LVLMs) have demonstrated their powerful multimodal capabilities. However, they also face serious safety problems, as adversaries can induce robustness…
Strictly-ID-Preserved and Controllable Accessory Advertising Image Generation
Youze Xue, Binghui Chen, Yifeng Geng +3
Customized generative text-to-image models have the ability to produce images that closely resemble a given subject. However, in the context of generating advertising images for e-…
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
Yingrui Ji, Yao Zhu, Zhigang Li +3
In the dynamic realms of machine learning and deep learning, the robustness and reliability of models are paramount, especially in critical real-world applications. A fundamental c…
Few-shot 3D Shape Generation
Jingyuan Zhu, Huimin Ma, Jiansheng Chen +1
Realistic and diverse 3D shape generation is helpful for a wide variety of applications such as virtual reality, gaming, and animation. Modern generative models, such as GANs and d…
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs
Jingyuan Zhu, Huimin Ma, Jiansheng Chen +1
Video generation has achieved rapid progress benefiting from high-quality renderings provided by powerful image generators. We regard the video synthesis task as generating a seque…
Gestalt-Guided Image Understanding for Few-Shot Learning
Kun Song, Yuchen Wu, Jiansheng Chen +2
Due to the scarcity of available data, deep learning does not perform well on few-shot learning tasks. However, human can quickly learn the feature of a new category from very few…