Johan W. H. Tangelder

Computer Vision and Pattern Recognition · 2004

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #8,683 of 21,575 by trust here, #9,435 by citations
• Computational Mechanics — 10 citations into it; #3,459 of 10,001 by trust here, #2,574 by citations

Whom Johan W. H. Tangelder trusts overall

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

1. Dietmar Saupe
2. Thomas A. Funkhouser
3. M. Kazhdan
4. Marcin Novotni
5. Andrew E. Johnson
6. Richard J. Campbell
7. Thomas B. Sebastian
8. Philip Shilane
9. Serge J. Belongie
10. Dejan V. Vranic

Who trusts Johan W. H. Tangelder overall

1. Fang Wang
2. Moshe Blank
3. Andrea Tagliasacchi
4. Mathias Eitz
5. Thomas A. Funkhouser
6. M. Kazhdan
7. Radu Bogdan Rusu
8. Lena Gorelick
9. Le Kang
10. Ronald Richter

Papers from Johan W. H. Tangelder's perspective

Ordered by how strongly the researchers Johan W. H. Tangelder 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Going deeper with convolutions

Their papers

• A survey of content based 3D shape retrieval methods (2004) — 1,461 citations