Hongbo Gao

Computer Vision and Pattern Recognition · 1 papers · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 5 citations into it

Whom Hongbo Gao trusts overall

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

1. Kaiming He
2. Joseph Redmon
3. Shaoqing Ren
4. Ross B. Girshick
5. Zhaowei Cai
6. Anil K. Jain
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. X. Zhang

Papers from Hongbo Gao's perspective

Ordered by how strongly the researchers Hongbo Gao 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. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving (2021) — 322 citations