Juhong Min

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 382 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #17,651 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 37 citations into it
• Meta & Continual Learning — 18 citations into it; #890 of 1,041 by trust here, #940 by citations
• Representation & Self-Supervised Learning — 7 citations into it
• Model Architectures — 5 citations into it

Whom Juhong Min trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Alex Krizhevsky
7. Andrew Zisserman
8. Yoshua Bengio
9. Tsung-Yi Lin
10. Yann LeCun

Who trusts Juhong Min overall

1. Timo Lüddecke
2. Yuyang Zhao
3. Boyi Li
4. Alexander S. Ecker
5. Zhun Zhong
6. Kilian Q. Weinberger
7. Renrui Zhang

Papers from Juhong Min's perspective

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

Their papers

• Hypercorrelation Squeeze for Few-Shot Segmenation (2021) — 435 citations