Ruoqi Sun — accepted AI-conference papers

2020

Tensor Low-Rank Reconstruction for Semantic Segmentation

Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen +1

ECCV 2020poster

Context information plays an indispensable role in the success of semantic segmentation. Recently, non-local self-attention based methods are proved to be effective for context information collection. Since desired context consists of spatial-wise and channel-wise attentions, the 3D representation i…

Cited by 88 Source ↗PDF ↗Scholar ↗

2019

Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection

Ruoqi Sun, Xinge Zhu, Chongruo Wu, Chen Huang, Jianping Shi, Lizhuang Ma

CVPR 2019oral

The success of deep neural networks for semantic segmentation heavily relies on large-scale and well-labeled datasets, which are hard to collect in practice. Synthetic data offers an alternative to obtain ground-truth labels for free. However, models directly trained on synthetic data often struggle…

Cited by 89 PDF ↗Scholar ↗