Michael Happold

Computer Vision and Pattern Recognition · 2006–2019

A researcher in the Science corpus: 2 papers; trusts 94 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #13,575 of 21,575 by trust here, #11,286 by citations
• Aerospace Engineering — 11 citations into it
• Media Technology — 6 citations into it; #2,094 of 3,621 by trust here, #2,178 by citations

Whom Michael Happold trusts overall

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

1. Heiko Hirschmüller
2. Engin Tola
3. Andreas Geiger
4. Yann LeCun
5. Vladimir Kolmogorov
6. Geoffrey E. Hinton
7. Jure Zbontar
8. Moritz Menze
9. Daniel Scharstein
10. Kaiming He

Who trusts Michael Happold overall

1. Zachary Teed
2. Yuchao Dai

Papers from Michael Happold's perspective

Ordered by how strongly the researchers Michael Happold 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Fully convolutional networks for semantic segmentation
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Hierarchical Deep Stereo Matching on High-Resolution Images (2019) — 296 citations
• Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments (2006) — 299 citations