Guo-Liang Zhang

Computer Vision and Pattern Recognition · 2023

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 Guo-Liang Zhang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Guo-Liang Zhang's perspective

Ordered by how strongly the researchers Guo-Liang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Rethinking the Inception Architecture for Computer Vision
  3. Non-local Neural Networks
  4. Aggregated Residual Transformations for Deep Neural Networks
  5. Selective Kernel Networks
  6. Dual Attention Network for Scene Segmentation
  7. A2-Nets: Double Attention Networks
  8. Res2Net: A New Multi-Scale Backbone Architecture
  9. SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
  10. Rotate to Attend: Convolutional Triplet Attention Module (IEEE Workshop/Winter Conference on Applications of Computer Vision)

Their papers