Wonjae Kim

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 373 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it; #4,224 of 21,575 by trust here, #5,116 by citations
• Artificial Intelligence — 45 citations into it; #5,324 of 35,345 by trust here, #7,112 by citations
• Multimodal Learning — 29 citations into it; #184 of 1,211 by trust here, #440 by citations
• Natural Language Processing — 9 citations into it
• Model Architectures — 7 citations into it; #474 of 2,278 by trust here, #652 by citations
• Optimization & Training — 6 citations into it

Whom Wonjae Kim trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Karen Simonyan

Who trusts Wonjae Kim overall

1. Jianfeng Wang
2. Zhe Gan
3. Wenliang Dai
4. Junnan Li
5. Wenhui Wang
6. Tanmay Gupta
7. Yushi Hu
8. Zhengyuan Yang
9. Hongwei Xue
10. Xiaowei Hu

Papers from Wonjae Kim's perspective

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

Their papers

• ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision (2021) — 2,347 citations