1 citations · 1 across the 5 of their papers we have counts for
5 papers
Test-Time Training for Robust Text-Guided Open-Vocabulary Object Counting
Hao-Yuan Ma, Yuda Zou, Li Zhang +1
Text-guided Open-vocabulary Object Counting (TOOC) enables counting arbitrary object categories specified by text prompts, offering substantially greater flexibility than conventio…
Decoupling What to Count and Where to See for Referring Expression Counting
Yuda Zou, Zijian Zhang, Yongchao Xu
Referring Expression Counting (REC) extends class-level object counting to the fine-grained subclass-level, aiming to enumerate objects matching a textual expression that specifies…
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization
Yuda Zou, Zelong Liu, Yuliang Gu +2
Crowd counting and localization are important in applications such as public security and traffic management. Existing methods have achieved impressive results thanks to extensive…
RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes
Zhichao Sun, Yepeng Liu, Zhiling Su +7
Drones have become prevalent robotic platforms with diverse applications, showing significant potential in Embodied Artificial Intelligence (Embodied AI). Referring Expression Comp…
Shifted Autoencoders for Point Annotation Restoration in Object Counting
Yuda Zou, Xin Xiao, Peilin Zhou +3
Object counting typically uses 2D point annotations. The complexity of object shapes and the subjectivity of annotators may lead to annotation inconsistency, potentially confusing…