Jia Pan

Computer Vision and Pattern Recognition · IEEE International Conference on Robotics and Automation · 2011–2021

A researcher in the Science corpus: 8 papers; trusts 124 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Pan trusts overall

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

  1. Hanan Samet
  2. Steven M. LaValle
  3. Piotr Indyk
  4. Geoffrey E. Hinton
  5. Alexandr Andoni
  6. Sanjoy Dasgupta
  7. Mohammad R. Kolahdouzan
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Jia Pan overall

  1. Ioan Alexandru Sucan
  2. Felix Burget
  3. David Coleman
  4. Wolfgang Honig
  5. Justin Carpentier
  6. Tingxiang Fan
  7. Armin Hornung
  8. Mark Moll
  9. Pinxin Long
  10. James A. Preiss

Papers from Jia Pan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers