Tomas Hodan

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Aerospace Engineering — 49 citations into it

Whom Tomas Hodan trusts overall

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

1. Kaiming He
2. Stefan Hinterstoißer
3. Daniel Wagner
4. Vincent Lepetit
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Ross B. Girshick
8. David G. Lowe
9. Eric Brachmann
10. Yann LeCun

Who trusts Tomas Hodan overall

1. Yann Labb'e
2. Martin Sundermeyer
3. Mahdi Rad
4. Maximilian Durner
5. Yu-Wei Chao
6. Guoguang Du
7. Jean-Philippe Mercier
8. Kiru Park
9. Vincent Lepetit
10. Justin Carpentier

Papers from Tomas Hodan's perspective

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

Their papers

• T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects (2017) — 598 citations
• BOP Challenge 2020 on 6D Object Localization (2020) — 331 citations
• BOP: Benchmark for 6D Object Pose Estimation (2018) — 544 citations