4 citations · 7 across the 4 of their papers we have counts for
4 papers
Text-promptable Object Counting via Quantity Awareness Enhancement
Miaojing Shi, Xiaowen Zhang, Zijie Yue +3
Recent advances in large vision-language models (VLMs) have shown remarkable progress in solving the text-promptable object counting problem. Representative methods typically speci…
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang, Miaojing Shi, Li Li
In visual recognition tasks, few-shot learning requires the ability to learn object categories with few support examples. Its re-popularity in light of the deep learning developmen…
Defending Adversarial Examples via DNN Bottleneck Reinforcement
Wenqing Liu, Miaojing Shi, Teddy Furon +1
This paper presents a DNN bottleneck reinforcement scheme to alleviate the vulnerability of Deep Neural Networks (DNN) against adversarial attacks. Typical DNN classifiers encode t…
Active Crowd Counting with Limited Supervision
Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao +1
To learn a reliable people counter from crowd images, head center annotations are normally required. Annotating head centers is however a laborious and tedious process in dense cro…