Fanfan Ye — accepted AI-conference papers

2025

VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting

Fanfan Ye, Yiqi Fan, Qiaoyong Zhong, Shicai Yang, Di Xie, Jie Song +1

IJCAI 2025

Class-agnostic counting enables enumerating arbitrary object classes beyond those seen during training. Recent studies attempted to exploit the potential of visual foundation models such as GroundingDINO. Despite the considerable progress, we observe certain shortcomings, including the limited diver

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2022

Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition

Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie

AAAI 2022technical

In the context of skeleton-based action recognition, graph convolutional networks (GCNs) have been rapidly developed, whereas convolutional neural networks (CNNs) have received less attention. One reason is that CNNs are considered poor in modeling the irregular skeleton topology. To alleviate this…

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