Jongpil Lee
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it
- Signal Processing — 14 citations into it; #5,391 of 7,572 by trust here, #3,913 by citations
- Artificial Intelligence — 13 citations into it; #25,677 of 35,345 by trust here, #21,316 by citations
- Model Architectures — 6 citations into it
- Speech & Audio — 6 citations into it
Whom Jongpil Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Sander Dieleman
- Sergey Ioffe
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Keunwoo Choi
- Ronan Collobert
- Andrew Zisserman
- Christian Szegedy
Who trusts Jongpil Lee overall
- Dario Rethage
- David W. Romero
- Minz Won
- Pierre-Amaury Grumiaux
- Qiuqiang Kong
- Feiyun Cui
- Hendrik Purwins
- Jordi Pons
- Annamaria Mesaros
- Jun Deng
Papers from Jongpil Lee's perspective
Ordered by how strongly the researchers Jongpil Lee 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions