Haoxiang Li
Computer Vision and Pattern Recognition · with Lee · 2018
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
- Artificial Intelligence — 12 citations into it
- Aerospace Engineering — 11 citations into it
- Reinforcement Learning — 11 citations into it
Whom Haoxiang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Kaiming He
- Volodymyr Mnih
- Geoffrey E. Hinton
- Nate Kohl
- David Silver
- Tim Bailey
- Angel X. Chang
- Angela Dai
- Alex Krizhevsky
Papers from Haoxiang Li's perspective
Ordered by how strongly the researchers Haoxiang Li 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
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)