Karl Ricanek Jr.

Computer Vision and Pattern Recognition · 2006–2019

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Karl Ricanek Jr. trusts overall

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

  1. Shaoqing Ren
  2. Huaizu Jiang
  3. Florian Schroff
  4. Kaiming He
  5. Omkar M. Parkhi
  6. Gary B. Huang
  7. Anil K. Jain
  8. Ross B. Girshick
  9. Eric Learned-Miller

Who trusts Karl Ricanek Jr. overall

  1. Hu Han
  2. Bor-Chun Chen
  3. Vahid Mirjalili
  4. Anil K. Jain
  5. Rasmus Rothe
  6. Yu Zhang
  7. Xin Geng
  8. Chu-Song Chen
  9. Wenzhi Cao
  10. Unsang Park

Papers from Karl Ricanek Jr.'s perspective

Ordered by how strongly the researchers Karl Ricanek Jr. 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. Gradient-based learning applied to document recognition
  4. Going deeper with convolutions
  5. ImageNet: A large-scale hierarchical image database
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers