Santosh Mohan

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #5,124 of 21,575 by trust here, #5,013 by citations

Whom Santosh Mohan trusts overall

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

1. Geoffrey E. Hinton
2. Scott E. Reed
3. Ruslan Salakhutdinov
4. Diederik P. Kingma
5. Yoshua Bengio
6. Danilo Jimenez Rezende
7. Alex Krizhevsky
8. Individualized Treat
9. Zeynep Akata
10. Alec Radford

Who trusts Santosh Mohan overall

1. Dong Huk Park
2. Tao Xu
3. Tobias Hinz
4. Levent Karacan
5. Han Zhang
6. Mingkuan Yuan
7. Pengchuan Zhang
8. Zeynep Akata
9. Samaneh Azadi

Papers from Santosh Mohan's perspective

Ordered by how strongly the researchers Santosh Mohan 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. GENERATIVE ADVERSARIAL NETS
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning What and Where to Draw (2016) — 641 citations