Marin Orsic

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 180 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Marin Orsic trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ilya Loshchilov
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Sergey Ioffe
  7. Fisher Yu
  8. Yann LeCun
  9. Ross B. Girshick
  10. Christian Szegedy

Who trusts Marin Orsic overall

  1. Huihui Pan
  2. Yuanduo Hong
  3. Kailun Yang
  4. Thomas Verelst
  5. Jiacong Xu
  6. Yuval Nirkin
  7. Changqian Yu
  8. Huayao Liu
  9. Daniel Seichter
  10. Xiangtai Li

Papers from Marin Orsic's perspective

Ordered by how strongly the researchers Marin Orsic 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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers