Marc Braham

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #9,304 of 21,575 by trust here, #19,310 by citations

Whom Marc Braham trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thierry Bouwmans
2. Yann LeCun
3. Chris Stauffer
4. Pierre-Luc St-Charles
5. L. Eon Bottou
6. W. Grimson
7. Yoshua Bengio
8. Guillaume-Alexandre Bilodeau
9. Pierre Sermanet
10. Geoffrey E. Hinton

Who trusts Marc Braham overall

1. Thierry Bouwmans
2. Mohammadreza Babaee
3. Belmar García García
4. Duc Tung Dinh
5. Sajid Javed
6. Gerhard Rigoll
7. Paul Voigtlaender
8. Maryam Sultana

Papers from Marc Braham's perspective

Ordered by how strongly the researchers Marc Braham trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Going deeper with convolutions
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep background subtraction with scene-specific convolutional neural networks (2016) — 299 citations