Haozhi Zhang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Haozhi Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christian Szegedy
2. Sergey Ioffe
3. Kaiming He
4. Ross B. Girshick
5. Jianguo Zhang
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Karen Simonyan
9. Jia Deng
10. Yoshua Bengio

Papers from Haozhi Zhang's perspective

Ordered by how strongly the researchers Haozhi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images (2018) — 383 citations