Minsik Lee

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 117 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #14,908 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 22 citations into it; #15,679 of 35,345 by trust here, #10,667 by citations
• Model Architectures — 9 citations into it
• Efficiency & Compression — 8 citations into it
• Signal Processing — 6 citations into it
• Optimization & Training — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Minsik Lee trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Sergey Zagoruyko
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Christian Szegedy
9. Radford M. Neal
10. Diederik P. Kingma

Who trusts Minsik Lee overall

1. Jianping Gou
2. Lin Wang
3. Seunghyun Lee
4. Manish Gupta
5. Linfeng Zhang
6. Kaiyu Yue
7. Fahad Sarfraz
8. Shumin Kong
9. Baosheng Yu
10. Md Maruf Hossain Shuvo

Papers from Minsik Lee's perspective

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

Their papers

• Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (2018) — 623 citations
• Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (2018) — 160 citations
• Efficient $l_{1}$ -Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method (2015) — 46 citations