Ronald Yu
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 263 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 71 citations into it
- Artificial Intelligence — 22 citations into it
- Computational Mechanics — 18 citations into it
- Aerospace Engineering — 12 citations into it
- 3D Vision & Pose — 9 citations into it
- Geology — 7 citations into it
- Control and Systems Engineering — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Ronald Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Shuran Song
- Ilya Sutskever
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
Who trusts Ronald Yu overall
Papers from Ronald Yu's perspective
Ordered by how strongly the researchers Ronald Yu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation (2017) — 616 citations
- Production-level facial performance capture using deep convolutional neural networks (2016) — 104 citations