Peter Carr

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 212 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it; #16,583 of 21,575 by trust here, #5,375 by citations
• Artificial Intelligence — 38 citations into it; #30,709 of 35,345 by trust here, #23,077 by citations
• Biomedical Engineering — 12 citations into it
• Generative Models — 10 citations into it
• Reinforcement Learning — 10 citations into it; #2,024 of 2,242 by trust here, #1,822 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Model Architectures — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Peter Carr trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Ilya Sutskever
9. Sepp Hochreiter
10. Alex Graves

Who trusts Peter Carr overall

1. Mang Ye
2. Eric Zhan
3. Yongyuan Liang

Papers from Peter Carr's perspective

Ordered by how strongly the researchers Peter Carr 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Argoverse: 3D Tracking and Forecasting With Rich Maps (2019) — 1,640 citations
• Coordinated Multi-Agent Imitation Learning (2017) — 212 citations
• Factorized Variational Autoencoders for Modeling Audience Reactions to Movies (2017) — 50 citations
• Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification (2018) — 357 citations