Haobo Yuan

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 569 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 258 citations into it
• Artificial Intelligence — 161 citations into it
• Model Architectures — 48 citations into it
• Representation & Self-Supervised Learning — 27 citations into it

Whom Haobo Yuan trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Karen Simonyan
9. Ilya Sutskever
10. Shaoqing Ren

Who trusts Haobo Yuan overall

1. Keon-Hee Park

Papers from Haobo Yuan's perspective

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

Their papers

• Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning (2023) — 177 citations
• Transformer-Based Visual Segmentation: A Survey (2023) — 318 citations