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Xia Li

ethanlee AT pku.edu.cn

Biography

Interests

  • Computer Vision
  • Semantic Segmentation
  • Low-level Vision

Publications @ZERO Lab

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. CVPR, 2021.

Aerial Image Segmentation is a particular semantic segmentation problem and has several challenging characteristics that general …
Xiangtai Li , Hao He , Xia Li , Duo Li , Guangliang Cheng , Jianping Shi , Lubin Weng , Yunhai Tong , Zhouchen Lin
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Is Attention Better Than Matrix Decomposition?. ICLR, 2021.

As an essential ingredient of modern deep learning, attention mechanism, especially self-attention, plays a vital role in the global …
Zhengyang Geng , Meng-Hao Guo , Hongxu Chen , Xia Li , Ke Wei , Zhouchen Lin
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Improving Semantic Segmentation via Decoupled Body and Edge Supervision. ECCV, 2020.

Existing semantic segmentation approaches either aim to improve the object’s inner consistency by modeling the global context, or …
Xiangtai Li , Xia Li , Li Zhang , Guangliang Cheng , Jianping Shi , Zhouchen Lin , Shaohua Tan , Yunhai Tong

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. CVPR, 2020.

The convolution operation suffers from a limited receptive filed, while global modeling is fundamental to dense prediction tasks, such …
Xia Li , Yibo Yang , Qijie Zhao , Tiancheng Shen , Zhouchen Lin , Hong Liu
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Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. AAAI, 2020.

Inspired from the dynamical systems, this study aims to unravel and improve ResNets.
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SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. AAAI, 2020.

Our study aims to explicitly predict overlap relations and resolve overlaps in a differentiable way for the panoptic output.
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Expectation Maximization Attention Networks for Semantic Segmentation. ICCV, 2019.

We formulate the attention mechanism into an expectation-maximization manner and iteratively estimate a much more compact set of bases …
PDF Code Project Slides Zhihu Survey Leaderboard

R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal. MICCAI, 2019.

We propose a novel neural network architecture to reduce streak artifacts generated in sparse-view 2D Cone Beam Computed To-mography …

Recurrent Squeeze-and-Excitation Net for Single Image Deraining. ECCV, 2018.

We propose a novel deep network architecture based on deep convolutional and recurrent neural networksfor single image deraining.
Xia Li , Jianlong Wu , Zhouchen Lin , Hong Liu , Hongbin Zha
PDF Code Dataset Report