Eric Penner

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #5,839 of 21,575 by trust here, #10,677 by citations

Whom Eric Penner trusts overall

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

1. Kaiming He
2. Pedro F. Felzenszwalb
3. Tingxian Wang
4. Vladimir Kolmogorov
5. Harry Shum
6. Sing Bing Kang
7. Richard Szeliski
8. Nima Khademi Kalantari
9. Zhou Wang
10. John Flynn

Who trusts Eric Penner overall

1. Peter Hedman
2. Richard Tucker
3. Pratul P. Srinivasan
4. Ben Mildenhall
5. Alex Yu
6. Noah Snavely
7. Bernhard Kerbl
8. Olivia Wiles
9. Zirui Wang
10. Stephen Lombardi

Papers from Eric Penner's perspective

Ordered by how strongly the researchers Eric Penner 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Soft 3D reconstruction for view synthesis (2017) — 421 citations