Mathis Petrovich

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 178 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #5,813 of 21,575 by trust here, #11,498 by citations
• Control and Systems Engineering — 27 citations into it; #1,099 of 8,257 by trust here, #2,447 by citations
• Artificial Intelligence — 16 citations into it
• Biomedical Engineering — 8 citations into it
• Computational Mechanics — 8 citations into it
• Generative Models — 7 citations into it
• 3D Vision & Pose — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Mathis Petrovich trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ilya Sutskever
6. Michael J. Black
7. Jacob Devlin
8. Kaiming He
9. Catalin Ionescu
10. Jimmy Ba

Who trusts Mathis Petrovich overall

1. Mingyuan Zhang
2. Guy Tevet
3. Xin Chen
4. Chuan Guo
5. Biao Jiang
6. Jianrong Zhang
7. Zhongang Cai
8. Ye Yuan
9. Xinying Guo
10. Brian Gordon

Papers from Mathis Petrovich's perspective

Ordered by how strongly the researchers Mathis Petrovich trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Action-Conditioned 3D Human Motion Synthesis with Transformer VAE (2021) — 716 citations
• TEMOS: Generating diverse human motions from textual descriptions (2022) — 627 citations