K. J. Joseph

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 9 papers; trusts 1,204 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom K. J. Joseph trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Marc'Aurelio Ranzato
  9. Ilya Sutskever
  10. Oriol Vinyals

Who trusts K. J. Joseph overall

  1. Liyuan Wang
  2. Arjun Ashok
  3. Vineeth Nallure Balasubramanian
  4. Xingxing Zhang
  5. Da-Wei Zhou
  6. Jorge Armando Mendez Mendez
  7. Liu Yu-yang
  8. Salman Hameed Khan
  9. Hang Su
  10. Julio Hurtado

Papers from K. J. Joseph's perspective

Ordered by how strongly the researchers K. J. Joseph 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers