C. Mohan

Computer Vision and Pattern Recognition · with Ijjina · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 293 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it; #10,072 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 37 citations into it; #15,751 of 35,345 by trust here, #26,682 by citations
• Biomedical Engineering — 14 citations into it; #2,797 of 10,734 by trust here, #9,794 by citations
• Human-Computer Interaction — 11 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom C. Mohan trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Rasmus Berg Palm
4. Alex Krizhevsky
5. Yann LeCun
6. Ilya Sutskever
7. J. Urgen Schmidhuber
8. Diederik P. Kingma
9. Kaiming He
10. Karen Simonyan

Who trusts C. Mohan overall

1. Liliana Lo Presti
2. Michael Edwards
3. Pichao Wang
4. Marco La Cascia
5. Xianghua Xie

Papers from C. Mohan's perspective

Ordered by how strongly the researchers C. 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Classification of human actions using pose-based features and stacked auto encoder (2016) — 68 citations
• Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks (2014) — 55 citations
• Human action recognition using genetic algorithms and convolutional neural networks (2016) — 190 citations