Andrei Zanfir

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 132 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #7,297 of 21,575 by trust here, #9,722 by citations
• Control and Systems Engineering — 15 citations into it; #7,966 of 8,257 by trust here, #4,962 by citations
• Human-Computer Interaction — 15 citations into it
• Computational Mechanics — 9 citations into it; #9,677 of 10,001 by trust here, #6,582 by citations

Whom Andrei Zanfir trusts overall

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

1. Julieta Martinez
2. Alexander Toshev
3. Xiaowei Zhou
4. Cristian Sminchisescu
5. Christian Szegedy
6. Grégory Rogez
7. Georgios Pavlakos
8. Javier Romero
9. Yann LeCun
10. Michael J. Black

Who trusts Andrei Zanfir overall

1. Julian Chibane
2. Nikos Kolotouros
3. Michael J. Black
4. Yucheng Chen
5. Thiemo Alldieck
6. Ahmed A. A. Osman
7. Bharat Lal Bhatnagar
8. Jason Y. Zhang
9. Jiefeng Li
10. Lea Müller

Papers from Andrei Zanfir's perspective

Ordered by how strongly the researchers Andrei Zanfir 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Microsoft COCO: Common Objects in Context
10. Going deeper with convolutions

Their papers

• Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints (2018) — 313 citations
• GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models (2020) — 404 citations