Dmitry Kit

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 2 papers; trusts 224 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #9,183 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 34 citations into it; #10,446 of 35,345 by trust here, #16,771 by citations
• Representation & Self-Supervised Learning — 18 citations into it
• Biomedical Engineering — 6 citations into it; #2,392 of 10,734 by trust here, #7,109 by citations
• Computational Mechanics — 6 citations into it; #4,741 of 10,001 by trust here, #6,287 by citations
• Signal Processing — 5 citations into it

Whom Dmitry Kit trusts overall

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

1. Hal Daumé Iii
2. Geoffrey E. Hinton
3. Xiaofei He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Kate Saenko
8. Sam T. Roweis
9. Lixin Duan
10. Diederik P. Kingma

Who trusts Dmitry Kit overall

1. Wouter M. Kouw
2. Qiuhong Ke
3. Ming Shao
4. Yu Kong
5. Jianfang Hu
6. Yun Raymond Fu
7. Hongfu Liu
8. Zhen Xu
9. Mohammed Bennamoun
10. Mohammad Sadegh Ali Akbarian

Papers from Dmitry Kit's perspective

Ordered by how strongly the researchers Dmitry Kit 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Discriminative Model with Multiple Temporal Scales for Action Prediction (2014) — 164 citations
• Generalized Transfer Subspace Learning Through Low-Rank Constraint (2014) — 306 citations