Lanlan Liu
Computer Vision and Pattern Recognition · with Deng · 2017
A researcher in the Science corpus: 1 paper; trusts 175 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #7,003 of 21,575 by trust here, #10,677 by citations
- Artificial Intelligence — 18 citations into it; #10,199 of 35,345 by trust here, #15,866 by citations
- Efficiency & Compression — 10 citations into it; #403 of 1,264 by trust here, #838 by citations
- Model Architectures — 7 citations into it
Whom Lanlan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Alex Krizhevsky
- Jia Deng
- Pedro F. Felzenszwalb
- Ross B. Girshick
- Paul A. Viola
- Kaiming He
- Diederik P. Kingma
Who trusts Lanlan Liu overall
- Yinpeng Chen
- Clemens Rosenbaum
- Chuanjian Liu
- An-Chieh Cheng
- Víctor Campos
- Xiyang Dai
- Yunhui Guo
- Jiahui Yu
- Mengchen Liu
- Tim Klinger
Papers from Lanlan Liu's perspective
Ordered by how strongly the researchers Lanlan Liu 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images