M. Lindenbaum
Computer Vision and Pattern Recognition · 1994–2018
A researcher in the Science corpus: 3 papers; trusts 83 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it
- Aerospace Engineering — 15 citations into it; #3,313 of 6,421 by trust here, #4,388 by citations
- Computational Mechanics — 15 citations into it; #5,860 of 10,001 by trust here, #6,582 by citations
- Geology — 9 citations into it; #406 of 687 by trust here, #534 by citations
- 3D Vision & Pose — 5 citations into it
- Artificial Intelligence — 5 citations into it
- Model Architectures — 5 citations into it
Whom M. Lindenbaum trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Florent Perronnin
- Charles Ruizhongtai Qi
- Davide Boscaini
- Hao Su
- Geoffrey E. Hinton
- Jonathan Masci
- Kaiming He
- Alex Krizhevsky
- Yann LeCun
- Tommi S. Jaakkola
Who trusts M. Lindenbaum overall
- Zhiyuan Zhang
- Binh-Son Hua
- A. Bronstein
- Mutian Xu
- Haoqiang Fan
- Zilong Chen
- Mikaela Angelina Uy
- Ron Kimmel
- David K. Hammond
- Hugues Thomas
Papers from M. Lindenbaum's perspective
Ordered by how strongly the researchers M. Lindenbaum 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge