Sihui Luo
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 138 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 68 citations into it; #20,859 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 65 citations into it; #34,288 of 35,345 by trust here, #24,417 by citations
- Efficiency & Compression — 18 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Model Architectures — 13 citations into it
- Optimization & Training — 12 citations into it
- Signal Processing — 5 citations into it
Whom Sihui Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- X. Zhang
- Oriol Vinyals
- Shaoqing Ren
Who trusts Sihui Luo overall
Papers from Sihui Luo's perspective
Ordered by how strongly the researchers Sihui Luo 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning (2020) — 22 citations
- Progressive Network Grafting for Few-Shot Knowledge Distillation (2020) — 55 citations
- Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning (2019) — 59 citations