Niall McLaughlin
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #10,819 of 21,575 by trust here, #12,172 by citations
- Artificial Intelligence — 14 citations into it
- Biomedical Engineering — 6 citations into it; #3,318 of 10,734 by trust here, #5,917 by citations
- Model Architectures — 5 citations into it
Whom Niall McLaughlin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ilya Sutskever
- Michael C. Mozer
- Andrew Zisserman
- Yann LeCun
- Yoshua Bengio
- Kilian Q. Weinberger
- Nitish Srivastava
Who trusts Niall McLaughlin overall
- Mang Ye
- Liang Zheng
- Xuelin Qian
- Mahdi M. Kalayeh
- Rahul Rama Varior
- Shuangjie Xu
- Hao Liu
- Ankit Thakkar
- Jianlou Si
- Chaoyun Zhang
Papers from Niall McLaughlin's perspective
Ordered by how strongly the researchers Niall McLaughlin 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)
- Gradient-based learning applied to document recognition
- 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
- 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
- Recurrent Convolutional Network for Video-Based Person Re-identification (2016) — 589 citations
- Deep Android Malware Detection (2017) — 480 citations