Qinxun Bai
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 229 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 38 citations into it; #8,787 of 21,575 by trust here, #5,507 by citations
- Artificial Intelligence — 34 citations into it; #13,417 of 35,345 by trust here, #7,657 by citations
- Representation & Self-Supervised Learning — 24 citations into it; #1,583 of 3,145 by trust here, #1,021 by citations
Whom Qinxun Bai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Ross B. Girshick
- Geoffrey E. Hinton
- Yann LeCun
- Karen Simonyan
- Yoshua Bengio
- Ilya Sutskever
- Shaoqing Ren
- Diederik P. Kingma
Who trusts Qinxun Bai overall
- Ananya Kumar
- Xingchao Peng
- Jian Liang
- Hyeonseob Nam
- Dapeng Hu
- Yogesh Kumar Balaji
- Peng Su
- Ximeng Sun
- Garrett Wilson
- Yan-Shuo Liang
Papers from Qinxun Bai's perspective
Ordered by how strongly the researchers Qinxun Bai trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Moment Matching for Multi-Source Domain Adaptation (2018) — 2,338 citations