C. Belthangady

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 2 papers; trusts 230 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Biophysics — 36 citations into it
• Artificial Intelligence — 23 citations into it
• Media Technology — 17 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Generative Models — 5 citations into it

Whom C. Belthangady trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Yann LeCun
5. Yoshua Bengio
6. Kaiming He
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ian J. Goodfellow
10. Phillip Isola

Papers from C. Belthangady's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Magnetic field imaging with nitrogen-vacancy ensembles (2011) — 285 citations
• Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction (2018) — 487 citations