Daniel Hu
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 31 citations into it
- Artificial Intelligence — 23 citations into it
Whom Daniel Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Daniel Hu's perspective
Ordered by how strongly the researchers Daniel Hu 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Fully convolutional networks for semantic segmentation
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)