Huan Huang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huan Huang trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  3. Trevor Darrell (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  7. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Luc Van Gool (in Computer Vision and Pattern Recognition)

Papers from Huan Huang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Fully convolutional networks for semantic segmentation
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Fast R-CNN
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers