Junlin Hu
Computer Vision and Pattern Recognition · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 46 citations into it; #7,383 of 21,575 by trust here, #7,499 by citations
- Representation & Self-Supervised Learning — 18 citations into it; #2,372 of 3,145 by trust here, #2,404 by citations
- Artificial Intelligence — 15 citations into it
- Signal Processing — 10 citations into it; #2,562 of 7,572 by trust here, #2,001 by citations
Whom Junlin Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- David G. Lowe
- Geoffrey E. Hinton
- Yann LeCun
- Karen Simonyan
- Alex Krizhevsky
- Lior Wolf
- Xavier Glorot
- Kaiming He
- Diederik P. Kingma
Who trusts Junlin Hu overall
- Albert Gordo
- Mei Wang
- Jiwen Lu
- Plamen Parvanov Angelov
- Xiangyu Zhu
- X. Wang
- Jun Yu
- Saeid Motiian
- Qiang Qiu
- José Lezama
Papers from Junlin Hu's perspective
Ordered by how strongly the researchers Junlin Hu 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
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Discriminative Deep Metric Learning for Face Verification in the Wild (2014) — 738 citations
- Deep transfer metric learning (2015) — 278 citations