Helge Rhodin

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 624 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 254 citations into it; #8,745 of 21,575 by trust here, #4,955 by citations
• Human-Computer Interaction — 56 citations into it
• Artificial Intelligence — 39 citations into it
• 3D Vision & Pose — 34 citations into it
• Biomedical Engineering — 34 citations into it
• Computational Mechanics — 34 citations into it
• Control and Systems Engineering — 24 citations into it
• Aerospace Engineering — 21 citations into it

Whom Helge Rhodin trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Ross B. Girshick
6. Andrew Zisserman
7. David G. Lowe
8. Yoshua Bengio
9. Diederik P. Kingma
10. Mykhaylo Andriluka

Who trusts Helge Rhodin overall

1. Muhammed Kocabas
2. Xiao Sun
3. Yucheng Chen
4. Gyeongsik Moon
5. Ce Zheng
6. Dushyant Mehta
7. Georgios Pavlakos
8. Xingyi Zhou
9. Michael J. Black
10. Angjoo Kanazawa

Papers from Helge Rhodin's perspective

Ordered by how strongly the researchers Helge Rhodin 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision (2016) — 1,341 citations
• VNect (2017) — 874 citations
• Learning Monocular 3D Human Pose Estimation from Multi-view Images (2018) — 258 citations
• A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose (2021) — 311 citations
• Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision (2016) — 51 citations