Vladimir Nekrasov

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 307 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it; #16,627 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 43 citations into it; #29,941 of 35,345 by trust here, #20,377 by citations
• Model Architectures — 16 citations into it
• Aerospace Engineering — 12 citations into it
• Efficiency & Compression — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Vladimir Nekrasov trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Ross B. Girshick
8. Ilya Sutskever
9. Rob Fergus
10. Karen Simonyan

Who trusts Vladimir Nekrasov overall

1. Haokui Zhang
2. Hao Chen
3. Yunpeng Chen
4. Chunhua Shen
5. Yanwei Li
6. Wuyang Chen
7. Ning Wang
8. Yukang Chen
9. Pengzhen Ren
10. Wenqiang Zhang

Papers from Vladimir Nekrasov's perspective

Ordered by how strongly the researchers Vladimir Nekrasov 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells (2018) — 155 citations
• Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations (2018) — 161 citations