Thiemo Alldieck

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 643 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 153 citations into it; #4,018 of 21,575 by trust here, #6,031 by citations
• Computational Mechanics — 84 citations into it; #791 of 10,001 by trust here, #1,219 by citations
• 3D Vision & Pose — 46 citations into it
• Computer Graphics and Computer-Aided Design — 36 citations into it
• Aerospace Engineering — 23 citations into it
• Control and Systems Engineering — 19 citations into it; #4,357 of 8,257 by trust here, #2,528 by citations
• Geology — 16 citations into it
• Generative Models — 13 citations into it

Whom Thiemo Alldieck trusts overall

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

1. Michael J. Black
2. Gerard Pons-Moll
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Christoph Lassner
8. Federica Bogo
9. Ross B. Girshick
10. Yann LeCun

Who trusts Thiemo Alldieck overall

1. Bharat Lal Bhatnagar
2. Julian Chibane
3. Zerong Zheng
4. Gerard Pons-Moll
5. Shunsuke Saito
6. Sida Peng
7. Christian Theobalt
8. Yuliang Xiu
9. Yebin Liu
10. Shih-Yang Su

Papers from Thiemo Alldieck's perspective

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

Their papers

• Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion (2020) — 568 citations
• Video Based Reconstruction of 3D People Models (2018) — 550 citations
• Learning to Reconstruct People in Clothing From a Single RGB Camera (2019) — 356 citations
• Tex2Shape: Detailed Full Human Body Geometry From a Single Image (2019) — 347 citations