Dexing Kong

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #12,681 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 8 citations into it; #20,374 of 35,345 by trust here, #30,347 by citations
• Model Architectures — 6 citations into it

Whom Dexing Kong trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Matthew D. Zeiler
4. Kaiming He
5. Yann LeCun
6. Rob Fergus
7. Vinod Nair
8. Yoshua Bengio
9. Ilya Sutskever
10. Ruslan Salakhutdinov

Who trusts Dexing Kong overall

1. Devis Tuia
2. Diego Marcos
3. Michele Volpi
4. Sander Dieleman
5. Jeffrey De Fauw
6. Koray Kavukcuoglu
7. Qiang Qiu

Papers from Dexing Kong's perspective

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

Their papers

• Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification (2015) — 30 citations