Dmitry Kalenichenko

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 265 researchers and is trusted by 4,853 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #439 of 21,575 by trust here, #290 by citations
• Artificial Intelligence — 42 citations into it
• Model Architectures — 21 citations into it
• Optimization & Training — 10 citations into it
• Signal Processing — 7 citations into it; #89 of 7,572 by trust here, #68 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Dmitry Kalenichenko trusts overall

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

1. Geoffrey E. Hinton
2. Christian Szegedy
3. Alex Krizhevsky
4. Yann LeCun
5. Yoshua Bengio
6. Kaiming He
7. Sergey Ioffe
8. Ilya Sutskever
9. Matthew D. Zeiler
10. Shaoqing Ren

Who trusts Dmitry Kalenichenko overall

1. Dacheng Tao
2. Xiaogang Wang
3. Liang-Chieh Chen
4. Quoc V. Le
5. Yoshua Bengio
6. Yi Yang
7. Ross B. Girshick
8. Andrew Zisserman
9. Luc Van Gool
10. Changxing Ding

Papers from Dmitry Kalenichenko's perspective

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

Their papers

• FaceNet: A unified embedding for face recognition and clustering (2015) — 15,122 citations
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications (2017) — 25,507 citations
• Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference (2017) — 4,475 citations