Jianlin Cheng
Computer Vision and Pattern Recognition · with Islam · 2023
A researcher in the Science corpus: 1 paper; trusts 293 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 141 citations into it
- Artificial Intelligence — 124 citations into it
- Efficiency & Compression — 73 citations into it
- Electrical and Electronic Engineering — 39 citations into it
- Model Architectures — 33 citations into it
- Optimization & Training — 18 citations into it
- Computer Networks and Communications — 17 citations into it
Whom Jianlin Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Song Han
- Diederik P. Kingma
- Karen Simonyan
- Ross B. Girshick
Papers from Jianlin Cheng's perspective
Ordered by how strongly the researchers Jianlin Cheng 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images