Dmitry Laptev

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #9,763 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 10 citations into it; #15,255 of 35,345 by trust here, #15,866 by citations

Whom Dmitry Laptev trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ronan Collobert
6. David G. Lowe
7. Hugo Larochelle
8. Ilya Sutskever
9. Joan Bruna
10. Kihyuk Sohn

Who trusts Dmitry Laptev overall

1. Diego Marcos
2. Waseem Rawat
3. Osman Semih Kayhan
4. Karel Lenc
5. Roman Klokov
6. Geoffrey E. Hinton
7. Simon Graham
8. Guile Wu
9. Fanny Yang
10. Binghui Chen

Papers from Dmitry Laptev's perspective

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

Their papers

• TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks (2016) — 273 citations
• Crowdsourcing the creation of image segmentation algorithms for connectomics (2015) — 371 citations