Xiaobin Chang

Computer Vision and Pattern Recognition · with Hospedales · 2018

A researcher in the Science corpus: 1 paper; trusts 280 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #11,221 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 19 citations into it
• Model Architectures — 9 citations into it
• Biomedical Engineering — 7 citations into it

Whom Xiaobin Chang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Karen Simonyan
6. Christian Szegedy
7. Ross B. Girshick
8. Ilya Sutskever
9. Andrew Zisserman
10. X. Zhang

Who trusts Xiaobin Chang overall

1. Kaiyang Zhou
2. Jingya Wang
3. Xiatian Zhu
4. Jangho Kim
5. Tianyuan Yu
6. Valentin Khrulkov
7. Rui Hou
8. Yongxin Yang
9. Tao A. Xiang
10. Shaogang Gong

Papers from Xiaobin Chang's perspective

Ordered by how strongly the researchers Xiaobin Chang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
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

• Multi-level Factorisation Net for Person Re-identification (2018) — 526 citations