Nassim Ait Ali Braham
Computer Vision and Pattern Recognition · 2022
A researcher in the Science corpus: 2 papers; trusts 360 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 97 citations into it; #16,383 of 21,575 by trust here, #19,766 by citations
- Artificial Intelligence — 76 citations into it
- Representation & Self-Supervised Learning — 65 citations into it
- Media Technology — 30 citations into it; #2,566 of 3,621 by trust here, #3,192 by citations
- Model Architectures — 7 citations into it
Whom Nassim Ait Ali Braham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
Who trusts Nassim Ait Ali Braham overall
Papers from Nassim Ait Ali Braham's perspective
Ordered by how strongly the researchers Nassim Ait Ali Braham 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- Self Supervised Learning for Few Shot Hyperspectral Image Classification (2022) — 14 citations
- Self-Supervised Learning in Remote Sensing: A review (2022) — 357 citations