Ying-Cong Chen
Computer Vision and Pattern Recognition · with Lai · 2017
A researcher in the Science corpus: 1 paper; trusts 250 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it; #14,512 of 21,575 by trust here, #15,162 by citations
- Biomedical Engineering — 19 citations into it; #5,432 of 10,734 by trust here, #7,436 by citations
- Artificial Intelligence — 13 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Ying-Cong Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Xiaogang Wang
- Kaiming He
- Rui Zhao
- Ilya Sutskever
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
Who trusts Ying-Cong Chen overall
Papers from Ying-Cong Chen's perspective
Ordered by how strongly the researchers Ying-Cong Chen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Person Re-Identification by Camera Correlation Aware Feature Augmentation (2017) — 334 citations