Yen-Liang Lin
Computer Vision and Pattern Recognition · 2017–2025
A researcher in the Science corpus: 3 papers; trusts 410 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 81 citations into it; #15,784 of 21,575 by trust here, #8,722 by citations
- Artificial Intelligence — 41 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Media Technology — 5 citations into it
- Model Architectures — 5 citations into it
Whom Yen-Liang Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Alex Krizhevsky
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Andrew Zisserman
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
Who trusts Yen-Liang Lin overall
Papers from Yen-Liang Lin's perspective
Ordered by how strongly the researchers Yen-Liang Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions