Yugeng Lin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #10,972 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 24 citations into it; #17,477 of 35,345 by trust here, #13,760 by citations
• Large Language Models — 5 citations into it

Whom Yugeng Lin trusts overall

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

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

Who trusts Yugeng Lin overall

1. Jianwei Yang
2. Pengchuan Zhang
3. Chunyuan Li

Papers from Yugeng Lin's perspective

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

Their papers

• UP-DETR: Unsupervised Pre-training for Object Detection with Transformers (2020) — 571 citations