Jingyu Liu

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 230 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 109 citations into it; #15,855 of 21,575 by trust here, #5,287 by citations
• Artificial Intelligence — 25 citations into it; #27,735 of 35,345 by trust here, #21,878 by citations
• Multimodal Learning — 16 citations into it
• Natural Language Processing — 10 citations into it
• Media Technology — 5 citations into it
• Model Architectures — 5 citations into it

Whom Jingyu Liu trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Graves
5. Kaiming He
6. Alex Krizhevsky
7. Oriol Vinyals
8. Yoshua Bengio
9. Andrew Zisserman
10. Shaoqing Ren

Who trusts Jingyu Liu overall

1. Chang Liu
2. Daqing Liu
3. Zhou Yu
4. Gen Luo
5. Siyi Liu
6. Henghui Ding
7. Hanwang Zhang
8. Yiyi Zhou
9. Yuhao Cui

Papers from Jingyu Liu's perspective

Ordered by how strongly the researchers Jingyu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
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

• The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
• Referring Expression Generation and Comprehension via Attributes (2017) — 169 citations
• The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations