Shigang Liu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shigang Liu trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Daoqiang Zhang (in Computer Vision and Pattern Recognition)
  2. Songcan Chen (in Computer Vision and Pattern Recognition)
  3. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  4. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Shigang Liu's perspective

Ordered by how strongly the researchers Shigang Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Fully convolutional networks for semantic segmentation
  3. Contour Detection and Hierarchical Image Segmentation
  4. Mean Shift: A Robust Approach Toward Feature Space Analysis
  5. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
  6. Deep Watershed Transform for Instance Segmentation
  7. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
  8. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  9. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data (IEEE Transactions on Medical Imaging)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers