Hao Zhang

Computer Vision and Pattern Recognition · with Xu · 2023

A researcher in the Science corpus: 1 paper; trusts 119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 8 citations into it

Whom Hao Zhang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Jia Deng
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Joseph Redmon
8. Hei Law
9. Christian Szegedy
10. Yann LeCun

Papers from Hao Zhang's perspective

Ordered by how strongly the researchers Hao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box (2023) — 375 citations