Xiaotang Chen
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 415 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 73 citations into it; #10,077 of 21,575 by trust here, #5,565 by citations
- Biomedical Engineering — 28 citations into it; #3,216 of 10,734 by trust here, #2,377 by citations
- Artificial Intelligence — 11 citations into it
- Model Architectures — 6 citations into it
Whom Xiaotang Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Shengcai Liao
- Wei Li
- Ilya Sutskever
- Kaiming He
- Ross B. Girshick
- Yann LeCun
- Rahul Rama Varior
- Yoshua Bengio
Who trusts Xiaotang Chen overall
- Jianlou Si
- Liang Zheng
- Cheng Wang
- Chunfeng Song
- Mang Ye
- Zhun Zhong
- Jing Xu
- Tianyuan Yu
- Alexander Hermans
- Mahdi M. Kalayeh
Papers from Xiaotang Chen's perspective
Ordered by how strongly the researchers Xiaotang 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification (2017) — 1,219 citations
- Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification (2017) — 704 citations