Victor Escorcia

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 7 papers; trusts 934 researchers and is trusted by 1,264 researchers here, as inferred from the citation graph.

Subfields

Whom Victor Escorcia trusts overall

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

  1. Alex Krizhevsky
  2. Ross B. Girshick
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Yann LeCun
  8. Karen Simonyan
  9. Diederik P. Kingma
  10. Andrew Zisserman

Who trusts Victor Escorcia overall

  1. Tianwei Lin
  2. Humam Alwassel
  3. Limin Wang
  4. Jie Lei
  5. Bernard Ghanem
  6. Fabian Caba Heilbron
  7. Luowei Zhou
  8. Phuc Xuan Nguyen
  9. Jiyang Gao
  10. Chen Zhao

Papers from Victor Escorcia's perspective

Ordered by how strongly the researchers Victor Escorcia 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers