Chenhan Jiang

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it
• Artificial Intelligence — 48 citations into it
• Model Architectures — 12 citations into it

Whom Chenhan Jiang trusts overall

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

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

Who trusts Chenhan Jiang overall

1. Hang Xu
2. Siyuan Qiao
3. Jianhua Han
4. Bochao Wang
5. Liang-Chieh Chen

Papers from Chenhan Jiang's perspective

Ordered by how strongly the researchers Chenhan Jiang 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• One Million Scenes for Autonomous Driving: ONCE Dataset (2021) — 383 citations
• SP-NAS: Serial-to-Parallel Backbone Search for Object Detection (2020) — 73 citations