Jiongxin Liu

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 210 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #2,639 of 21,575 by trust here, #5,205 by citations
• Artificial Intelligence — 11 citations into it; #17,081 of 35,345 by trust here, #13,962 by citations

Whom Jiongxin Liu trusts overall

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

1. David G. Lowe
2. Navneet Dalal
3. Paul A. Viola
4. Andrea Vedaldi
5. Andrew Zisserman
6. Peter N. Belhumeur
7. Bangpeng Yao
8. Mohammad Amin Sadeghi
9. Lubomir D. Bourdev
10. Geoffrey E. Hinton

Who trusts Jiongxin Liu overall

1. Grant Van Horn
2. Steve Branson
3. Jonathan Krause
4. Xiao Liu
5. Feng Zhou
6. Jia Deng
7. Ning Zhang
8. Xiangxin Zhu
9. Thomas Berg
10. Ming Sun

Papers from Jiongxin Liu's perspective

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

Their papers

• Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds (2014) — 411 citations
• Dog Breed Classification Using Part Localization (2012) — 222 citations