Jinsong Wang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 420 researchers and is trusted by 89 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #3,346 of 21,575 by trust here, #4,212 by citations
• Artificial Intelligence — 70 citations into it; #5,120 of 35,345 by trust here, #5,720 by citations
• Representation & Self-Supervised Learning — 32 citations into it; #2,703 of 3,145 by trust here, #1,781 by citations
• Evaluation & Benchmarks — 16 citations into it

Whom Jinsong Wang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ross B. Girshick
6. Yann LeCun
7. Diederik P. Kingma
8. Judy Hoffman
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Jinsong Wang overall

1. Lukas Hoyer
2. Dengxin Dai
3. Christos Sakaridis
4. Yahao Liu
5. Luc Van Gool
6. Yanchao Yang
7. Luke Melas-Kyriazi
8. Kuniaki Saito
9. Jianfeng Feng

Papers from Jinsong Wang's perspective

Ordered by how strongly the researchers Jinsong Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training (2018) — 1,499 citations
• Confidence Regularized Self-Training (2019) — 917 citations