Bin Yang
Computer Vision and Pattern Recognition · with Gatidis · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 84 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it; #20,567 of 21,575 by trust here, #14,151 by citations
- Generative Models — 30 citations into it
- Artificial Intelligence — 27 citations into it; #33,719 of 35,345 by trust here, #23,077 by citations
- Optimization & Training — 11 citations into it
- Biophysics — 5 citations into it
Whom Bin Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Individualized Treat
- David E. Rumelhart
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Yen-Chang Hsu
- Yann LeCun
- Rahaf Aljundi
Who trusts Bin Yang overall
Papers from Bin Yang's perspective
Ordered by how strongly the researchers Bin Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
Their papers
- Automated reference-free detection of motion artifacts in magnetic resonance images (2018) — 100 citations
- Entropy-based Sample Selection for Online Continual Learning (2021) — 28 citations
- MedGAN: Medical Image Translation using GANs (2018) — 709 citations