Jun Xu

Computer Vision and Pattern Recognition · with Mei · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 419 researchers and is trusted by 518 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it; #1,854 of 21,575 by trust here, #2,814 by citations
• Artificial Intelligence — 26 citations into it
• Multimodal Learning — 23 citations into it; #152 of 1,211 by trust here, #272 by citations
• Natural Language Processing — 23 citations into it
• Evaluation & Benchmarks — 15 citations into it; #531 of 3,147 by trust here, #608 by citations
• Model Architectures — 8 citations into it

Whom Jun Xu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Ilya Sutskever
5. Yoshua Bengio
6. Kaiming He
7. Andrew Zisserman
8. Diederik P. Kingma
9. Marcus Rohrbach
10. Yann LeCun

Who trusts Jun Xu overall

1. Shaoxiang Chen
2. Ramakanth Pasunuru
3. Mohit Bansal
4. Jie Lei
5. Antoine Miech
6. Jianfeng Dong
7. X. Wang
8. Bairui Wang
9. Junchao Zhang
10. Zhe Gan

Papers from Jun Xu's perspective

Ordered by how strongly the researchers Jun Xu 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

• MSR-VTT: A Large Video Description Dataset for Bridging Video and Language (2016) — 2,526 citations
• Learning Multimodal Attention LSTM Networks for Video Captioning (2017) — 159 citations