Zhou Wei — accepted AI-conference papers

2026

CDICS: Delving Into Fine-Grained Attribute for In-Context Segmentation via Compositional Prompts and Phased Decoupling

Zhiyu Li, Dianmo Sheng, Qi Chu, Shilong Chen, Tao Gong, Zhou Wei +1

CVPR 2026

In-Context Learning (ICL) has shown great effectiveness in developing generalist image segmentation models. Its significant advantage over text-based descriptions is the ability to convey intricate visual appearance details through simple reference images. However, finding a perfectly matching singl

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2026

WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution

Wan Song, Zhou Wei, Rui Wang, Jun Yu, Toru Kurihara, Xu Jiajia +1

ICML 2026spotlight

Large kernel depthwise convolutions achieve strong performance but suffer from significant degradation as kernel size grows due to irregular memory access from gather-based computation. While Large Kernel Acceleration (LKA) helps on small feature maps, it becomes \textbf{counterproductive on large f…

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