Yuhe Jin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Aerospace Engineering — 45 citations into it

Whom Yuhe Jin trusts overall

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

1. Ondřej Chum
2. David G. Lowe
3. Jiri Matas
4. Johannes L. Schönberger
5. Daniel Barath
6. David Nistér
7. Krystian Mikolajczyk
8. Adam Baumberg
9. Andrew Zisserman
10. Kwang Moo Yi

Who trusts Yuhe Jin overall

1. Philipp Lindenberger
2. M. Tyszkiewicz
3. Wei Jiang
4. Ricardo Martin-Brualla
5. Eduard Trulls
6. Matthew Tancik
7. Paul-Edouard Sarlin
8. Pascal Fua

Papers from Yuhe Jin's perspective

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

Their papers

• Image Matching Across Wide Baselines: From Paper to Practice (2020) — 469 citations