Stephan J. Garbin

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 131 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #6,479 of 21,575 by trust here, #4,834 by citations
• Computer Graphics and Computer-Aided Design — 18 citations into it
• Artificial Intelligence — 17 citations into it
• Computational Mechanics — 17 citations into it
• Model Architectures — 9 citations into it; #767 of 2,278 by trust here, #894 by citations
• Media Technology — 5 citations into it

Whom Stephan J. Garbin trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Karen Simonyan
5. Ken Museth
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Sergey Ioffe
10. Andrew Zisserman

Who trusts Stephan J. Garbin overall

1. Daniel E. Worrall
2. Taco Cohen
3. Matthew Tancik
4. Christian Reiser
5. Risi Kondor
6. Haithem Turki
7. Cheng Sun
8. David W. Romero
9. Zhiqin Chen
10. Zhiwen Fan

Papers from Stephan J. Garbin's perspective

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

Their papers

• Harmonic Networks: Deep Translation and Rotation Equivariance (2016) — 783 citations
• FastNeRF: High-Fidelity Neural Rendering at 200FPS (2021) — 787 citations