Haoxi Ran

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Computational Mechanics — 29 citations into it
• Geology — 22 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 5 citations into it

Whom Haoxi Ran trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Sergey Ioffe
6. Christian Szegedy
7. Yann LeCun
8. Karen Simonyan
9. Charles Ruizhongtai Qi
10. Yoshua Bengio

Papers from Haoxi Ran's perspective

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

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

Their papers

• Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework (2022) — 913 citations