Hongbo Huang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 15 citations into it

Whom Hongbo Huang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Yann LeCun
8. Yoshua Bengio
9. Karen Simonyan
10. Christian Szegedy

Papers from Hongbo Huang's perspective

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

Their papers

• YOLO-FaceV2: A Scale and Occlusion Aware Face Detector (2022) — 483 citations