Xiao Zhang
Computer Vision and Pattern Recognition · 2 papers · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 280 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it; #13,986 of 21,575 by trust here, #7,584 by citations
- Artificial Intelligence — 20 citations into it
- Signal Processing — 18 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Model Architectures — 11 citations into it
- Optimization & Training — 7 citations into it
Whom Xiao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Karen Simonyan
- Christian Szegedy
- Yann LeCun
- Ilya Sutskever
- Andrew Zisserman
- Ross B. Girshick
Who trusts Xiao Zhang overall
- Jiankang Deng
- Mei Wang
- Yandong Guo
- Liuyu Xiang
- Xi Yin
- Weihong Deng
- Sukmin Yun
- Zhisheng Zhong
- Chen Huang
- Yixiong Zou
Papers from Xiao Zhang's perspective
Ordered by how strongly the researchers Xiao Zhang 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Range Loss for Deep Face Recognition with Long-Tailed Training Data (2016) — 472 citations
- AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations (2019) — 252 citations