Kiseok Kwon

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #18,506 of 21,575 by trust here, #12,992 by citations

Whom Kiseok Kwon trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Clément Farabet
4. Geoffrey E. Hinton
5. Yann LeCun
6. Ilya Sutskever
7. Yu-hsin Chen
8. Fisher Yu
9. X. Zhang
10. Yoshua Bengio

Who trusts Kiseok Kwon overall

1. Zhen Dong
2. Zi-Mei Yao
3. Bichen Wu
4. A. Gholami

Papers from Kiseok Kwon's perspective

Ordered by how strongly the researchers Kiseok Kwon 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Et al
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• SqueezeNext: Hardware-Aware Neural Network Design (2018) — 329 citations