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Cheng-Ze Lu

2 accepted papers

2022

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

NeurIPS 2022accept

We present SegNeXt, a simple convolutional network architecture for semantic segmentation. Recent transformer-based models have dominated the field of se- mantic segmentation due to the efficiency of self-attention in encoding spatial information. In this paper, we show that convolutional attention…

2022

Towards an End-to-End Framework for Flow-Guided Video Inpainting

CVPR 2022poster

Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories. However, the hand-crafted flow-based processes in these methods are applied separately to form the whole inpainting pipeline. Thus, they a…

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