Jianghui Cai — accepted AI-conference papers

2026

PA-GMAE: A Position-Assigned Graph Masked Autoencoder for Point Cloud Representation Learning

Haifeng Yang, Lupeng Fang, Jianghui Cai, Jie Wang, Guojiao An, Lihua Hu

IJCAI 2026

Masked autoencoder have demonstrated excellent performance in point cloud representation learning and received widespread attention. However, due to the unstructured nature of point clouds, existing methods struggle to effectively model both local geometric information and global topological feature

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2026

Revisiting Downsampling in Semantic Segmentation: Fighting Aliasing with Dynamic Gaussian and Gabor Frequency Filters

Yu Bing Luo, Nian Shi, Jia Qin, Zekai Ji, Pinle Qin, Jianchao Zeng +1

AAAI 2026technical

Downsampling is essential in semantic segmentation for reducing computational cost and guiding the learning of class-discriminative features. Existing models typically rely on strided convolutions or patch splitting to obtain features with lower resolution. However, we observe that such operations o

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