Liangqiong Qu

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 186 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Liangqiong Qu trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. X. Zhang
  8. Yoshua Bengio
  9. Evan Shelhamer
  10. Guanbin Li

Who trusts Liangqiong Qu overall

  1. Deng-Ping Fan
  2. Hao Chen
  3. Jifeng Wang
  4. Keren Fu
  5. Yongri Piao
  6. Xiaoqi Zhao
  7. Jiaxing Zhao
  8. Zhihao Chen
  9. Runmin Cong
  10. Jing Zhang

Papers from Liangqiong Qu's perspective

Ordered by how strongly the researchers Liangqiong Qu 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 classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers