Arturo de la Escalera

Computer Vision and Pattern Recognition · 2003–2018

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Arturo de la Escalera trusts overall

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

  1. Gail A. Carpenter
  2. Stephen Grossberg
  3. David E. Goldberg
  4. Ross B. Girshick
  5. Bo Li
  6. Kaiming He

Who trusts Arturo de la Escalera overall

  1. Yingying Zhu
  2. Zhengxia Zou
  3. Minghui Liao
  4. Keyan Chen

Papers from Arturo de la Escalera's perspective

Ordered by how strongly the researchers Arturo de la Escalera trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Histograms of oriented gradients for human detection
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Mask R-CNN
  7. Gradient-based learning applied to document recognition
  8. Fast R-CNN
  9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers