Ivan Neulander

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #4,220 of 21,575 by trust here, #6,031 by citations

Whom Ivan Neulander trusts overall

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

1. Ce Liu
2. Roland Memisevic
3. Robert T. Collins
4. Geoffrey E. Hinton
5. Derek Hoiem
6. Alex Krizhevsky
7. Yoshua Bengio
8. Ashutosh Saxena
9. S. M. Seitz
10. Kishore Reddy Konda

Who trusts Ivan Neulander overall

1. Tinghui Zhou
2. Simon Niklaus
3. Gernot Riegler
4. Jonathan T. Barron
5. Justus Thies
6. Ricardo Martin-Brualla
7. Pratul P. Srinivasan
8. Richard Tucker
9. John Flynn
10. Eric Penner

Papers from Ivan Neulander's perspective

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

Their papers

• Deep Stereo: Learning to Predict New Views from the World's Imagery (2015) — 702 citations