Nathan Tsoi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan Tsoi trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Joseph Redmon
  4. Tsung-Yi Lin
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Maxim Berman
  8. Shaoqing Ren
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Nathan Tsoi overall

  1. Xue Yang
  2. Xingyi Zhou
  3. Chien-Yao Wang
  4. Juan R. Terven
  5. Shilong Liu
  6. Siliang Ma
  7. Muchen Li
  8. Kang-jik Kim
  9. Zhaohui Zheng
  10. Tianwei Yin

Papers from Nathan Tsoi's perspective

Ordered by how strongly the researchers Nathan Tsoi 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers