Christoph Lassner

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 7 papers; trusts 557 researchers and is trusted by 632 researchers here, as inferred from the citation graph.

Subfields

Whom Christoph Lassner trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Michael J. Black
  4. Geoffrey E. Hinton
  5. Matthew Maverick Loper
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Ross B. Girshick
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Christoph Lassner overall

  1. Georgios Pavlakos
  2. Thiemo Alldieck
  3. Michael J. Black
  4. Muhammed Kocabas
  5. Gerard Pons-Moll
  6. Riza Alp Güler
  7. Dominik Kulon
  8. Zerong Zheng
  9. Nikos Kolotouros
  10. Angjoo Kanazawa

Papers from Christoph Lassner's perspective

Ordered by how strongly the researchers Christoph Lassner 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers