Binghui Chen
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 404 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 83 citations into it; #16,240 of 21,575 by trust here, #12,689 by citations
- Artificial Intelligence — 41 citations into it; #26,561 of 35,345 by trust here, #25,040 by citations
- Model Architectures — 25 citations into it
- Optimization & Training — 9 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Signal Processing — 6 citations into it
Whom Binghui Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Vinod Nair
- Christian Szegedy
- Andrew Zisserman
Who trusts Binghui Chen overall
Papers from Binghui Chen's perspective
Ordered by how strongly the researchers Binghui 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Mixed High-Order Attention Network for Person Re-Identification (2019) — 399 citations
- Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation (2017) — 132 citations