Chaoxian Wu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Automotive Engineering — 58 citations into it
• Control and Systems Engineering — 30 citations into it
• Aerospace Engineering — 26 citations into it
• Electrical and Electronic Engineering — 23 citations into it
• Artificial Intelligence — 11 citations into it
• Biomedical Engineering — 7 citations into it
• Computer Networks and Communications — 7 citations into it

Whom Chaoxian Wu trusts overall

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

1. David G. Lowe
2. Steven M. LaValle
3. Rajesh Rajamani
4. Edwin Olson
5. Reza Nakhaie Jazar
6. Dongkyoung Chwa
7. Constantine Papageorgiou
8. Sayanan Sivaraman
9. Mohan Manubhai Trivedi
10. Paul A. Viola

Papers from Chaoxian Wu's perspective

Ordered by how strongly the researchers Chaoxian Wu 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. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019) — 329 citations