Yuanduo Hong

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 405 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 100 citations into it
• Artificial Intelligence — 47 citations into it
• Model Architectures — 11 citations into it
• Efficiency & Compression — 10 citations into it

Whom Yuanduo Hong trusts overall

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

1. Kaiming He
2. Liang-Chieh Chen
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. François Chollet
6. Ross B. Girshick
7. Matthew D. Zeiler
8. Yann LeCun
9. Yoshua Bengio
10. X. Zhang

Who trusts Yuanduo Hong overall

1. Jiacong Xu
2. Zixiang Xiong

Papers from Yuanduo Hong's perspective

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

Their papers

• Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes (2023) — 425 citations
• Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes (2021) — 381 citations