Sergio Casas

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 301 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Sergio Casas trusts overall

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

  1. Wenjie Luo
  2. Ross B. Girshick
  3. Kaiming He
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Raquel Urtasun
  8. Binh Yang
  9. Shaoqing Ren
  10. Sebastian Thrun

Who trusts Sergio Casas overall

  1. Li Chen
  2. Pranav Singh Chib
  3. Simon Suo
  4. Junru Gu
  5. Hang Zhao
  6. Jiageng Mao
  7. Yuning Chai
  8. Peng Wu
  9. Chen Sun
  10. Yicheng Liu

Papers from Sergio Casas's perspective

Ordered by how strongly the researchers Sergio Casas 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. Going deeper with convolutions

Their papers