2 papers
cs.CV2026
Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting
Xiaowen Zhang, Zijie Yue, Yong Luo +3
Object counting is a fundamental task in computer vision, with broad applicability in many real-world scenarios. Fully-supervised counting methods require costly point-level annota…
cs.CV2025
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…