Haiming Gang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Haiming Gang trusts overall

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

  1. Kaiming He
  2. Yin Zhou
  3. Ji Zhang
  4. Qilong Zhang
  5. Peter Biber

Who trusts Haiming Gang overall

  1. Pranav Singh Chib

Papers from Haiming Gang's perspective

Ordered by how strongly the researchers Haiming Gang 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. ImageNet: A large-scale hierarchical image database
  3. Microsoft COCO: Common Objects in Context
  4. ImageNet classification with deep convolutional neural networks
  5. Mask R-CNN
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Densely Connected Convolutional Networks
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers