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Zheng-Ning Liu

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…

2018

Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks

ECCV 2018poster

We present a data-driven approach to reconstructing high-resolution and detailed volumetric representations of 3D shapes. Although well studied, algorithms for volumetric fusion from multi-view depth scans are still prone to scanning noise and occlusions, making it hard to obtain high-fidelity 3D re…

Cited by 38SourcePDFScholar