Zhenxin Lei — accepted AI-conference papers

2026

MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites

Zhenxin Lei, Zhangwei Gao, Changyao Tian, Erfei Cui, Guanzhou Chen, Danni Yang +9

ICLR 2026poster

Generalist visual captioning goes beyond a simple appearance description task, but requires integrating a series of visual cues into a caption and handling various visual domains. In this task, current open-source models present a large performance gap with commercial ones, which limits various app…

Cited by 0 Source ↗code ↗Scholar ↗

2025

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation

Zhenxin Lei, Man Yao, Jiakui Hu, Xinhao Luo, Yanye Lu, Bo Xu +1

AAAI 2025technical

Spiking Neural Networks (SNNs) have a low-power advantage but perform poorly in image segmentation tasks. The reason is that directly converting neural networks with complex architectural designs for segmentation tasks into spiking versions leads to performance degradation and non-convergence. To ad…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗