Mingliang Dai — accepted AI-conference papers

2024

Point Segment and Count: A Generalized Framework for Object Counting

Zhizhong Huang, Mingliang Dai, Yi Zhang, Junping Zhang, Hongming Shan

CVPR 2024poster

Class-agnostic object counting aims to count all objects in an image with respect to example boxes or class names a.k.a few-shot and zero-shot counting. In this paper we propose a generalized framework for both few-shot and zero-shot object counting based on detection. Our framework combines the sup…

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2023

Cross-Head Supervision for Crowd Counting with Noisy Annotations

Mingliang Dai, Zhizhong Huang, Jiaqi Gao, Hongming Shan, Junping Zhang

ICASSP 2023accepted

Noisy annotations such as missing annotations and location shifts often exist in crowd counting datasets due to multi-scale head sizes, high occlusion, etc. These noisy annotations severely affect the model training, especially for density map-based methods. To alleviate the negative impact of noisy…

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