Minyoung Kim

Computer Vision and Pattern Recognition · with Pavlovic · 2008–2018

A researcher in the Science corpus: 4 papers; trusts 315 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #9,269 of 21,575 by trust here, #8,296 by citations
• Artificial Intelligence — 35 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 7 citations into it
• Statistics and Probability — 5 citations into it; #12,267 of 12,932 by trust here, #10,855 by citations

Whom Minyoung Kim trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Ilya Sutskever
5. Han-Ming Wu
6. Kaiming He
7. Yann LeCun
8. Diederik P. Kingma
9. Ross B. Girshick
10. Ian J. Goodfellow

Who trusts Minyoung Kim overall

1. Ruiping Wang
2. Zhiwu Huang
3. Jiwen Lu
4. Xuehan Xiong
5. Esteban Real
6. Yongming Rao
7. Xilin Chen
8. Masoud Faraki
9. Jianming Zhang
10. Ruiping Wang

Papers from Minyoung Kim's perspective

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

Their papers

• Online Multi-Object Tracking with Dual Matching Attention Networks (2018) — 372 citations
• Face tracking and recognition with visual constraints in real-world videos (2008) — 517 citations
• Deep Clustered Convolutional Kernels (2015) — 18 citations
• Central Subspace Dimensionality Reduction Using Covariance Operators (2011) — 24 citations