Chen Lin
Computer Vision and Pattern Recognition · with Li · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 331 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 107 citations into it
- Artificial Intelligence — 93 citations into it
- Model Architectures — 39 citations into it
- Optimization & Training — 24 citations into it
- Efficiency & Compression — 9 citations into it
- Molecular Biology — 5 citations into it
Whom Chen Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Quoc V. Le
- Yoshua Bengio
- Karen Simonyan
- Barret Zoph
- Yann LeCun
- Tsung-Yi Lin
Who trusts Chen Lin overall
Papers from Chen Lin's perspective
Ordered by how strongly the researchers Chen Lin 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- GLiT: Neural Architecture Search for Global and Local Image Transformer (2021) — 104 citations
- Computation Reallocation for Object Detection (2019) — 36 citations
- Improving One-Shot NAS by Suppressing the Posterior Fading (2019) — 80 citations
- Online Hyper-Parameter Learning for Auto-Augmentation Strategy (2019) — 93 citations