Yunhua Chen — accepted AI-conference papers

2026

SAFformer: Improving Spiking Transformer via Active Predictive Filtering

Zequan Xie, Weiming Zeng, Yunhua Chen, Sichang Lin, Tongyang Chen, Jinsheng Xiao

IJCAI 2026

Spiking Neural Networks (SNNs) offer notable advantages in biological plausibility and energy efficiency, making them promising candidates for building low-power Transformers. However, existing Spiking Transformers largely adhere to a passive reactive paradigm, which struggles to focus on task-relev

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2023

LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection

Jinsheng Xiao, Yuanxu Wu, Yunhua Chen, Shurui Wang, Zhongyuan Wang, Jiayi Ma

CVPR 2023poster

Video small object detection is a difficult task due to the lack of object information. Recent methods focus on adding more temporal information to obtain more potent high-level features, which often fail to specify the most vital information for small objects, resulting in insufficient or inappropr…

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