Jun Ma

Computer Vision and Pattern Recognition · arXiv.org · 2019–2024

A researcher in the Science corpus: 4 papers; trusts 177 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Ma trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Ashish Vaswani
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Jun Ma overall

  1. Jiajing Zhang
  2. Jiacheng Ruan
  3. Keyan Chen
  4. Junde Wu
  5. Zhaohu Xing
  6. Tao Huang
  7. Chenxin Li
  8. Fabian Isensee
  9. Yichi Zhang
  10. Haotian Guan

Papers from Jun Ma's perspective

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

Their papers