Yu-Gang Jiang

Computer Vision and Pattern Recognition · with Jiang · 2018

A researcher in the Science corpus: 1 paper; trusts 198 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #15,643 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 34 citations into it; #25,625 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 21 citations into it
• Multimodal Learning — 15 citations into it; #826 of 1,211 by trust here, #920 by citations
• Model Architectures — 13 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Yu-Gang Jiang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Oriol Vinyals
6. Alex Krizhevsky
7. Ilya Sutskever
8. Christian Szegedy
9. Ronald J. Williams
10. Yann LeCun

Who trusts Yu-Gang Jiang overall

1. Marcella Cornia
2. Matteo Stefanini

Papers from Yu-Gang Jiang's perspective

Ordered by how strongly the researchers Yu-Gang Jiang 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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Recurrent Fusion Network for Image Captioning (2018) — 260 citations