Linwei Ye
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 263 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #8,881 of 21,575 by trust here, #12,992 by citations
- Artificial Intelligence — 16 citations into it; #13,641 of 35,345 by trust here, #19,439 by citations
- Natural Language Processing — 9 citations into it
- Multimodal Learning — 8 citations into it; #475 of 1,211 by trust here, #909 by citations
- Model Architectures — 7 citations into it
Whom Linwei Ye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ross B. Girshick
- Sepp Hochreiter
- Jimmy Ba
- Yann LeCun
- Ilya Sutskever
Who trusts Linwei Ye overall
- Henghui Ding
- Timo Lüddecke
- Dave Zhenyu Chen
- Seonguk Seo
- Qingyun Fang
- Golnaz Ghiasi
- Shaoxiang Chen
- Arsha Nagrani
- Zhaoqing Wang
- Gen Luo
Papers from Linwei Ye's perspective
Ordered by how strongly the researchers Linwei Ye 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Cross-Modal Self-Attention Network for Referring Image Segmentation (2019) — 588 citations