Samuel W. Hasinoff

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 4 papers; trusts 267 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel W. Hasinoff trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Andrew Zisserman
  4. Richard Szeliski
  5. Geoffrey E. Hinton
  6. Josef Sivic
  7. Alex Krizhevsky
  8. Krystian Mikolajczyk
  9. Diederik P. Kingma
  10. Kostadin Dabov

Who trusts Samuel W. Hasinoff overall

  1. Qifeng Chen
  2. Ben Mildenhall
  3. Jonathan T. Barron
  4. Wei-Sheng Lai
  5. Kaan Yücer
  6. Huiyu Zeng
  7. Hossein Talebi Esfandarani
  8. Cheng Chen
  9. Vladlen Koltun
  10. Jianrui Cai

Papers from Samuel W. Hasinoff's perspective

Ordered by how strongly the researchers Samuel W. Hasinoff 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers