Minhan Kim
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 42 citations into it; #15,637 of 21,575 by trust here, #20,271 by citations
- Artificial Intelligence — 18 citations into it; #25,530 of 35,345 by trust here, #32,362 by citations
- Generative Models — 10 citations into it
- Safety, Robustness & Interpretability — 7 citations into it
Whom Minhan Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tero Karras
- François Chollet
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- David Guera
- Oriol Vinyals
- Davide Cozzolino
Who trusts Minhan Kim overall
Papers from Minhan Kim's perspective
Ordered by how strongly the researchers Minhan Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions