Muhamad Risqi U. Saputra
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 362 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 98 citations into it
- Aerospace Engineering — 44 citations into it
- Artificial Intelligence — 29 citations into it
- Efficiency & Compression — 20 citations into it
- Computational Mechanics — 7 citations into it
- Geology — 7 citations into it
- Ocean Engineering — 7 citations into it
- 3D Vision & Pose — 6 citations into it
Whom Muhamad Risqi U. Saputra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David G. Lowe
- Alex Krizhevsky
- Yoshua Bengio
- Andrew Zisserman
- David Nistér
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Diederik P. Kingma
Who trusts Muhamad Risqi U. Saputra overall
Papers from Muhamad Risqi U. Saputra's perspective
Ordered by how strongly the researchers Muhamad Risqi U. Saputra 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Distilling Knowledge From a Deep Pose Regressor Network (2019) — 118 citations
- Visual SLAM and Structure from Motion in Dynamic Environments (2018) — 407 citations