Siyuan Bian
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 224 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 93 citations into it
- Artificial Intelligence — 24 citations into it
- Human-Computer Interaction — 21 citations into it
- 3D Vision & Pose — 16 citations into it
- Computational Mechanics — 13 citations into it
- Biomedical Engineering — 12 citations into it
- Model Architectures — 5 citations into it
Whom Siyuan Bian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Karen Simonyan
- Ross B. Girshick
- Yoshua Bengio
- Christian Szegedy
- Andrew Zisserman
Papers from Siyuan Bian's perspective
Ordered by how strongly the researchers Siyuan Bian 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation (2020) — 517 citations
- Human Pose Regression with Residual Log-likelihood Estimation (2021) — 300 citations